Striim 5.0 Release: Enhancing Data Processing with Striim’s Vector Embeddings Generator

Posted on March 13, 2025 by Striim Team | 3 min read | 3 views

Extracting meaningful insights from vast amounts of data is crucial for businesses to remain competitive. One powerful tool that has emerged in recent years is vector embeddings. These compact numerical representations of data not only facilitate enhanced data analysis but also improve search capabilities and machine learning tasks. Striim has harnessed the power of vector embeddings to provide its customers with a robust tool for transforming raw data into meaningful insights in real-time.

What does the Vector Embeddings Generator Feature Do?

Striim’s vector embedding generator offers a streamlined way to create and manage these embeddings directly within the platform. The Embedding Generator supports SQL transformations, enabling users to tailor the data columns for embedding generation, thus enhancing the relevance and accuracy of the embeddings produced. Striim supports a range of popular embeddings models, including those from OpenAI and VertexAI, ensuring users can choose the model that best fits their needs. The generated embeddings can then be written directly to databases that support vector storage, making it easy for customers to integrate these embeddings into their existing analytics workflows.

How do you use it?

Using Striim’s Vector Embedding Generator is straightforward, thanks to two main methods available to users:

Using the Striim UI: From the Striim AI link on the Striim UI, customers can perform CRUD operations (Create, Read, Update, Delete) on the embedding generator. This makes it easy to manage and configure the embedding models.
Using the Striim Console: For users who prefer scripting, they can use regular SQL commands to create or replace the embedding generator object directly, providing flexibility and control over their data pipelines.

Want to dive deeper? Check out the doc and explore more.

How Does Striim Add Value?

Striim’s vector embedding generator is a significant asset for businesses looking to enhance their real-time data processing capabilities. By embedding vectors directly within the Striim platform, customers can generate meaningful insights without needing additional tools or adding complexity to their workflows. This streamlined approach not only reduces costs but also minimizes administrative overhead, making it an ideal solution for organizations seeking efficiency and simplicity in their data integration processes.

Case Study: Enhancing Business Value with Striim’s Vector Embeddings – UPS Capital

UPS Capital is a prime example of how Striim’s vector embeddings can add value to businesses. By integrating Striim’s real-time data streaming technology with Google BigQuery’s analytics capabilities, UPS Capital improved their data processing and analytical capabilities significantly. Striim enabled UPS to ingest data from various sources immediately, facilitating real-time risk assessments and proactive decision-making. The data seamlessly flowed into Google BigQuery, where advanced analytics and machine learning were used to predict delivery risks and optimize logistics strategies. The innovative DeliveryDefense™ Address Confidence system, powered by Striim, leveraged these embeddings to assign confidence scores to delivery locations, thus improving predictive accuracy and allowing businesses to manage delivery risks effectively. This use case highlights the transformative power of Striim’s vector embeddings in enhancing data efficiency and real-time analytical capabilities.

Transform Your Business with Striim’s Vector Embeddings – Try It Today!

Striim’s vector embeddings generator is a game-changer for businesses looking to enhance their data processing and analytical capabilities in real time. By integrating this powerful tool into your data workflows, you can streamline operations, improve predictive accuracy, and drive better decision-making.

Ready to power your business with real-time data? Try Striim today with a free trial or book a demo to see it in action.

Start Your Free Trial | Schedule a Demo

Striim 5.0 Release: Streamlining Schema Creation with Striim’s Integrated Schema Feature

Posted on March 13, 2025 by Striim Team | 3 min read | 3 views

Migrating schemas within a data pipeline has traditionally been a complex and time-consuming task for many users. However, Striim’s latest 5.0 release introduces an integrated schema creation feature that simplifies this process significantly, making it more accessible and efficient. This feature is integrated into the configuration process of many adapters, providing users with an automated and streamlined approach to schema management.

What Does Integrated Schema Creation Do?

The integrated schema creation feature in Striim enables users to automatically create schemas on their target endpoints directly through the Striim configuration panel. This capability is particularly beneficial for users who manage complex data pipelines, allowing them to initiate the schema creation step of migration with minimal effort, seamlessly from source to target. By setting the CreateSchema flag to True in the configuration, users can initiate this feature.

How Do You Use It?

To use the integrated schema creation feature, follow these steps:

Configuration to Enable Schema Creation:
- Source – Database Reader: Set the CreateSchema option to True.
- Target Adapter: Set the CDDLAction to Process.

This configuration enables the source adapter to resolve the interested tables and objects, fetching their structure. It then publishes schema creation events to the stream for all the objects involved. Once schema events are published, data events sequentially follow for the objects, ensuring that data is synchronized with the newly created schema.

Want to dive deeper? Check out the doc and explore more.

How Does Striim Add Value?

Striim’s integrated schema creation feature is a game-changer for anyone managing complex data pipelines. Before Striim’s 5.0 release, users had to perform schema creation through standalone utilities or wizards, which often involve multiple steps and external processes. The integrated schema creation feature eliminates the need for these separate tools and additional manual steps. By simplifying the user experience, reducing complex steps and skills by fully automating the process of table creation on target endpoints, Striim reduces implementation time and thus faster returns on the investments. This feature highlights Striim’s simplicity of providing robust, user-friendly solutions that enhance productivity and efficiency in data management. Whether you’re handling a small database or a large-scale data environment, Striim’s integrated schema creation is a powerful tool for streamlining your data operations.

Take Your Data Operations to the Next Level with Striim 5.0

Ready to power your business with real-time data? Try Striim today with a free trial or book a demo to see it in action.

Start Your Free Trial | Schedule a Demo

Striim 5.0 Release: Introducing Fast Snapshot Loads to Accelerate Your Data Movement

Posted on March 13, 2025 by Striim Team | 2 min read | 3 views

As part of Striim’s 5.0 release, Fast Snapshot Loads is designed to elevate how organizations manage data loading for analytics. With this new feature, Striim makes it easier to create, manage, and accelerate the loading of database table snapshots. Fast Snapshot Loads harnesses declarative property syntax to intelligently distribute and parallelize table movement —significantly reducing load times and making large-scale data integration timely and more efficient.

What does Fast Snapshot Load achieve?

Fast Snapshot Loads optimizes the process of creating and managing database table snapshots, intelligently scheduling and distributing table loading across parallel executions. This significantly boosts throughput performance for initial data loads and reduces the time required to make data available for analytics.

How Do You Use Fast Snapshot Loads?

Activating Fast Snapshot Loads is simple and integrates seamlessly within Striim’s intuitive platform. Just specify the parallelism counts in the property fields of the Striim Database Reader and Data Warehouse Writer adapters. Striim then automatically manages the table distribution and scheduling execution to maximize performance on the Striim server.

Want to dive deeper? Check out the doc and explore more.

How Does Striim Add Value?

Fast Snapshot Loads brings several powerful benefits to users, designed to streamline data loading and boost productivity:

Enhanced Performance: Achieve up to 60% faster load times with Parallel adapter settings, optimizing initial data loads for faster insights.
No-Code Solution: Minimize setup complexity by reducing the need for custom coding, making it easier to configure and deploy than prior Striim versions.
Accelerated Time-to-Value: Reduce the time spent on design and development, allowing teams to build high-performance initial load solutions quickly.
Automated Distribution: Striim handles distribution and scheduling of tables automatically, removing the need for manual setup by data engineers.

Experience the Power of Striim 5.0

Fast Snapshot Loads is ideal for data analytics use cases and supports Striim’s key data warehouse adapters, including Google BigQuery, Snowflake, Microsoft Fabric, and Databricks. Discover how Fast Snapshot Loads can transform your data performance—contact us today for a demo or to connect with a Striim expert!

Beyond Legacy Detection: How AI-Driven Data Governance Surpasses Traditional Methods

Posted on March 4, 2025 by Striim Team | 6 min read | 3 views

Have you ever wondered how the biggest brands in the world falter when it comes to data security? Consider how AT&T, trusted by millions, experienced a breach that exposed 73 million records—sensitive details like Social Security numbers, account info, and even passwords. Then there’s Ticketmaster, where over 560 million records were compromised, triggering a cascade of issues including an antitrust lawsuit from the Justice Department.

That’s not all: a single vulnerability in MOVEit led to 49 million records being compromised—impacting government agencies, financial institutions, and healthcare organizations alike, with damages soaring into the billions. And Dell? Their breach transformed personal customer data into a commodity traded on dark web forums.

These incidents serve as a stark reminder that legacy data governance systems, built for a bygone era, are struggling to fend off modern cyber threats. They react too slowly, too rigidly, and can’t keep pace with the dynamic, sophisticated attacks occurring today, leaving hackable data exposed. That’s where AI-powered data governance comes into play.

In this blog post, we’re going to unpack the critical differences between legacy systems and AI-driven approaches, demonstrating why when it comes to hackable data, AI-driven data governance is the only way to go.

Why Proactivity Matters with Data Governance

When it comes to data governance, being proactive can mean the difference between keeping sensitive data secure or exposing it to the world. Cybercriminals target businesses that fail to act in advance. Proactivity enables businesses to:

Mitigate Breach Risks Before One Occurs

Every moment that hackable data remains unprotected, the risk of a breach increases. Legacy systems leave critical gaps between data creation and risk detection—gaps that cybercriminals can and do exploit. By contrast, Striim’s AI-powered data governance detects and classifies sensitive data in motion before it reaches storage. Additionally, Striim can encrypt, mask, or redact sensitive data all in real time, effectively preventing exposure.

Protect Brand Reputation and Trust

A data breach is more than just a technical failure—it can inflict irreparable harm on your brand reputation. Trust, once lost, is incredibly difficult to regain. Consumers expect their data to be handled with care, and any lapse in security can lead to significant financial and reputational damage. By implementing AI-powered governance, companies can demonstrate a commitment to real-time security, bolstering consumer trust and positioning themselves as leaders in data protection.

Streamline Compliance and Risk Management

Regulatory compliance isn’t just about avoiding fines—it’s about safeguarding trust. Legacy systems often struggle to meet evolving standards due to their reactive nature. In contrast, AI-driven solutions deliver continuous oversight, empowering organizations to adapt swiftly to regulatory changes and uphold rigorous risk management practices.

Striim’s platform serves as an ally on your path toward compliance, equipping your team with the tools needed to navigate an ever-evolving regulatory landscape.

The Future of Data Governance: Embracing the AI Revolution

The digital world is growing more complex every day, and so are the threats targeting hackable data. Legacy systems were designed for a different era—one with fewer threats and slower attack speeds. Today’s cyber threats are sophisticated, dynamic, and relentless. AI-powered data governance offers the agility and foresight necessary to stay ahead of these evolving risks, continuously learning and adapting to new attack vectors.

The move from legacy to AI-driven data governance represents more than just a technological upgrade; it’s a fundamental shift in how we protect our digital assets. Instead of reacting to breaches after they occur, AI-powered systems are designed to prevent them from happening in the first place. This shift not only enhances security but also supports a more robust, resilient infrastructure capable of withstanding the pressures of a digital-first world.

As data volumes explode and regulatory environments become stricter, the need for proactive data governance becomes ever more critical. Embracing an AI-powered approach is not just about addressing current challenges—it’s about future-proofing your organization against threats that have yet to emerge. By investing in continuous, real-time protection, businesses can secure their data, work towards compliance, and ultimately, preserve the trust of their customers.

Reimagine Data Governance with Sentinel and Sherlock: Striim’s AI Agents

Striim 5.0 introduces Sentinel and Sherlock, which redefine real-time data governance by seamlessly integrating advanced AI capabilities into your data pipelines. These intelligent agents ensure robust security without sacrificing system performance.

Sherlock AI: Proactive Source-Level Protection

Early Identification: Detects sensitive data at the point of origin, even within third-party or SaaS-managed databases, before it enters your pipeline.
Preemptive Risk Elimination: Finds and flags sensitive information before it’s in motion, reducing exposure risks from the outset.
Holistic Coverage: Operates flawlessly across SaaS, cloud, and external systems, providing complete visibility into your data environment.
Efficient Scanning: Uses lightweight processes that avoid impacting database performance.
Automated Categorization: Instantly classifies financial, healthcare, and personal identity information, delivering real-time insights into data security.
Quality Oversight: Monitors data integrity continuously, alerting teams when sensitive data appears where it shouldn’t.

Sentinel AI: Dynamic In-Motion Defense

Real-Time Protection: Monitors and secures sensitive data as it traverses your systems, ensuring constant vigilance.
Precision Detection: Identifies personally identifiable information (PII) anywhere within a record—even if it’s incorrectly labeled—surpassing the limitations of traditional rule-based methods.

Exposure Mitigation: Blocks unauthorized data transfers when moving information from internal systems to external analytics or sharing platforms.
Compliance Coverage: Supports over 25 sensitive data types across multiple regions—including the USA, Canada, the UK, and India—to meet diverse regulatory needs.
Automated Response: Implements policy-driven actions such as encryption and various forms of masking (partial, full, regex-based) without manual intervention.
Seamless Integration: Offers a plug-and-play user experience that allows for swift integration into existing data pipelines.
Regulatory Alignment: Assists organizations in navigating compliance requirements such as GDPR, CCPA, HIPAA, and beyond.

Sentinel and Sherlock’s Unified Approach to Data Governance

The process kicks off with Sherlock AI, which scans both structured and unstructured data across SQL, NoSQL, SaaS, and cloud databases. It pinpoints and classifies sensitive financial, health, and identity-related data—helping to preempt issues before they occur.

Once the data is on the move, Sentinel AI steps in. Using sophisticated pattern recognition and natural language processing, it validates data in real time, catching errors traditional systems might miss. Based on predefined business rules, Sentinel automatically encrypts, masks, or blocks data transfers, ensuring that regulated information remains secure as it shifts between systems.

With continuous, real-time dashboards, Sentinel offers live reporting on data exposure, security interventions, and compliance status. It logs each event with AI-enhanced metadata for effective tracking and auditing, while its adaptive design accommodates evolving data sources through schema evolution.

This integrated, AI-driven framework not only keeps your organization audit-ready but also ensures full transparency into data protection measures. Furthermore, Sentinel’s compatibility with enterprise security tools like SIEM, DLP, Datadog, and Snowflake Security reinforces a comprehensive and unified security strategy.

Ready to take your data governance efforts to the next level? Try Striim today with a free trial or book a demo to see it in action.

Start Your Free Trial | Schedule a Demo

Striim Levels Up: Now a Premier Partner in Snowflake’s AI Data Cloud Program

Posted on February 28, 2025 by Striim Team | 3 min read | 4 views

In an exciting development that underscores our commitment to innovation and customer success, Striim has officially achieved Premier Tier status in Snowflake’s AI Data Cloud Products program. This major milestone not only deepens our strategic partnership with Snowflake but also unlocks a host of new benefits for our customers.

What Does Premier Tier Status Mean?

Striim has advanced from Select to Premier Tier in Snowflake’s AI Data Cloud Products program: a recognition of our deep integration, proven customer impact, and commitment to delivering real-time, AI-ready data solutions. As a Premier partner, we gain enhanced co-selling opportunities, technical collaboration, and greater alignment with Snowflake’s go-to-market initiatives, directly benefiting our customers.

This upgrade positions Striim at the forefront of the ecosystem, enabling us to leverage a range of new opportunities and resources to drive further innovation and customer engagement. With the fastest ingest into Snowflake using Snowpipe API, advanced data preparation for AI workloads, and AI-driven protection for data in transit, Striim empowers businesses to move, transform, and secure data with unmatched speed and intelligence.

Why This Milestone Matters

The Premier Tier upgrade is not just an internal achievement; it represents a major win for our customers as well. Today, the ability to integrate real-time streaming data with robust analytical platforms is critical. With Striim’s deeper integration into Snowflake, we’re making it easier than ever for data teams to stream, transform, and secure their data effectively.

Here’s what that looks like for our customers:

Fastest Ingest into Snowflake – Striim delivers sub-second data movement into Snowflake using Snowpipe Streaming API, eliminating batch delays and reducing compute costs. Whether you’re streaming event data, transactional logs, or IoT telemetry, Striim ensures that your data lands in Snowflake with minimal latency, ready for immediate querying. This means fresher insights, real-time decision-making, and a competitive edge.
Preparing Data for AI – AI models are only as good as the data they’re trained on. Striim cleans, enriches, and structures data in-flight before it even reaches Snowflake, ensuring high-quality inputs for AI/ML workloads. With built-in schema evolution and support for semi-structured data (JSON, Avro, Parquet), Striim ensures your AI pipeline is always running on the most accurate, complete, and up-to-date data. Now, your AI-driven analytics and automation will deliver real value, rather than being held back by stale or messy data.
AI-Driven Data Protection – Streaming data introduces new security challenges—especially when sensitive information is moving across environments. Striim applies real-time anomaly detection and masking to identify potential risks before they become breaches. By using AI-driven heuristics and pattern detection, we help protect hackable data without slowing performance. Enjoy stronger data governance and safer AI adoption without bottlenecks.

Ready to Experience the Future of Real-Time Data Streaming?

With the strength of our Snowflake partnership and the numerous benefits it brings, we are more committed than ever to delivering the tools and insights you need to thrive in a data-centric world. Ready to explore how Striim’s enhanced capabilities can transform your data strategy? See how Striim’s enhanced Snowflake integration can optimize your real-time analytics and AI workflows. Explore our Striim + Snowflake solutions or request a demo today.

Striim 5.0 Release: Unlock Real-Time Customer Insights with the Intercom Reader

Posted on February 26, 2025 by Striim Team | 3 min read | 4 views

Customer engagement is crucial for businesses to thrive, and platforms like Intercom have made it easier than ever to connect with users through messaging tools for sales, marketing, and customer care. Striim 5.0’s new Intercom Reader makes it even easier by enabling seamless real-time data integration from the Intercom platform into your analytics systems. Let’s dive into how the Intercom Reader works, how you can use it, and the value it brings to your business.

What Does It Do?

The Intercom Reader allows you to connect directly to your Intercom platform and read data from user-defined tables. It captures the necessary data and emits WAEvents, which can be propagated to any supported target systems, such as Google BigQuery, Snowflake, or Microsoft Azure Synapse. This real-time data integration empowers businesses to gain immediate insights from their customer interactions, driving better decision-making across sales, marketing, and customer service teams.

How Do You Use It?

Striim makes it simple to get started with the Intercom Reader in two different modes:

Initial Load: For loading historical data from your Intercom platform, you can set the mode in the Intercom Reader to perform an initial load of your defined tables. This ensures that you have all the data needed to build a comprehensive picture of your customer interactions.
Incremental Load: After the initial load, you can switch to the “Incremental Load” mode for continuous, near-real-time replication of data. The adapter reads new data at regular intervals, keeping your analytics up to date with the latest information from Intercom.

To get started, you can use Striim’s user-friendly wizards, which will guide you through connecting to your Intercom instance and writing data to your desired target. Additionally, for more complex configurations, you can use Striim’s flow designer (a graphical programming tool) or TQL (query-based) to create or edit your applications.

Want to dive deeper? Check out the doc and explore more.

How Does Striim Add Value?

Striim’s real-time data integration capabilities bring several benefits:

Non-Intrusive and Secure Data Collection: Striim collects data securely and reliably from your Intercom platform without disrupting your operations, allowing for continuous, real-time customer insights.
Cloud Integration: Striim supports streaming data to popular cloud analytics platforms like Google BigQuery, Snowflake, Microsoft Azure Synapse, and Databricks Delta Lake, ensuring your data can be analyzed with the tools you already use.
Data Freshness SLAs: With Striim, you can set data freshness SLAs, ensuring that your teams have access to the most up-to-date information, which builds trust among business users and supports quick decision-making.
In-Flight Data Processing: Striim offers in-flight processing such as filtering, transformations, aggregations, enrichment, and correlations. These capabilities allow you to make the most out of your data by refining and enhancing it before it reaches your target systems.

Transform Your Business with Real-Time Customer Insights

The Striim Intercom Reader helps you unlock the power of your Intercom data, providing real-time insights that enhance customer engagement and support business growth.

Ready to power your business with real-time data? Try Striim today with a free trial or book a demo to see it in action.

Start Your Free Trial | Schedule a Demo

Striim 5.0 Release: Introducing Stripe Reader Connector for Real-Time Payment Data Insights

Posted on February 26, 2025 by Striim Team | 3 min read | 4 views

As businesses increasingly rely on SaaS solutions like Stripe for payment processing, Striim’s integration makes it easier to move, analyze, and leverage payment data in real time. This connector helps streamline data workflows, allowing customers to consolidate their payment data and gain valuable insights faster than ever before.

What Does the Stripe Reader Do?

The Stripe Reader is designed to help users move payment data from the Stripe service provider into any target supported by Striim. Stripe is a popular payment solution for online businesses, particularly those with subscription-based models. With this connector, Striim users can now seamlessly extract data from Stripe and send it to destinations such as Google BigQuery, enabling advanced analytics and data consolidation.

How Do You Use It?

Using the Stripe Reader with Striim is simple and straightforward. To get started, create a Striim application and use the setup wizard for a quick and seamless configuration. The wizard walks you through adding Stripe as a source and connecting your Stripe instance securely via OAuth authentication. Once connected, you can easily select the Stripe objects (tables) you want to work with and define your destination target, such as BigQuery.

For advanced users, Striim’s Flow Designer offers deeper customization options, allowing you to tailor data flows to your specific needs. This layered approach ensures both new and experienced users can maximize the value of Striim, making it a versatile solution for integrating Stripe data. The following section dives further into how Striim’s features amplify efficiency and control for complex data workflows.

Want to dive deeper? Check out the doc and explore more.

How Does Striim Add Value?

Striim’s integration of the Stripe Reader adds significant value by allowing businesses to consolidate their data workloads across multiple sources. With Striim, you can combine on-premises databases (via CDC) with SaaS payment data from Stripe, enabling real-time analytics across all your business data. This level of integration and real-time capability would be challenging to achieve with other tools, making Striim a powerful solution for modern data-driven enterprises.

One of the standout features is the “mode=Automated” option. With this setting, the connector initially reads all the data from selected objects and then switches to incremental loading, ensuring ongoing updates are seamlessly captured. This flexibility makes it easy to keep your data pipeline running efficiently.

Additionally, Striim’s new support for the Stripe Delete Event handler allows users to track deleted data from Stripe objects without needing to perform a full resync, unlike some competitor products. This not only saves time but also reduces operational costs, making it a more efficient and cost-effective solution.

Ready to power your business with real-time data? Try Striim today with a free trial or book a demo to see it in action.

Start Your Free Trial | Schedule a Demo

Striim 5.0 Release: Unlock Real-Time Salesforce Integration with Powerful New Connectors

Posted on February 26, 2025 by Striim Team | 3 min read | 4 views

Striim’s suite of connectors for Salesforce applications helps organizations streamline this process by enabling seamless, real-time data movement between Salesforce and other systems. Whether you’re working with Salesforce CRM, Pardot, or Salesforce Marketing Cloud, Striim simplifies the data integration experience.

What Does It Do?

Striim provides both read and write connectors for Salesforce applications, enabling real-time data movement across multiple Salesforce environments. Here’s how Striim connects to various Salesforce applications:

Salesforce Reader: Reads data from Salesforce using REST APIs, supporting Initial Load and Incremental Sync.
Salesforce Platform Event Reader: Specifically reads Platform Events, allowing you to capture event-driven changes.
Salesforce CDC Reader: Uses the Streaming API to fetch Change Data Capture (CDC) events, ensuring you capture every update in real time.
Salesforce Cloud Account Engagement (Pardot) Reader: Reads Pardot data using REST APIs to support marketing efforts.
Salesforce Marketing Cloud Writer: Pushes data to Salesforce Marketing Cloud (B2C) using REST APIs to support marketing initiatives.

How Do You Use It?

Using Striim’s Salesforce connectors is simple. Whether you’re reading data from Salesforce, capturing events, or writing insights back to Salesforce applications, the connectors provide the flexibility to integrate data with ease.

For read operations, Striim pulls data from Salesforce systems, including CRM, Pardot, and Marketing Cloud, making it available for downstream analytics or other business processes. The write operations then push insights or enriched data back into Salesforce, ensuring that your marketing and sales teams have up-to-date information to drive business decisions.

Striim’s real-time, low-latency pipeline enables businesses to keep Salesforce systems updated in near real time, supporting initiatives like Next Best Action and Real-time Personalization.

Want to dive deeper? Check out the doc and explore more.

How Does Striim Add Value?

Striim’s real-time data movement capabilities provide a range of benefits:

Fastest Real-Time Data Movement: By using Salesforce CDC (Change Data Capture) in real time, Striim enables faster and more reliable data updates compared to batch processing.
Reverse ETL Capabilities: Striim’s writers allow for reverse ETL scenarios, pushing insights from analytics systems back into Salesforce applications. This helps enable real-time personalization and next best action scenarios.
Bi-Directional Pipelines: Combining the Salesforce CDC Reader with Striim’s Snowflake CDC Reader creates the fastest bi-directional pipelines, keeping both Salesforce and Snowflake in sync.
Unified Platform: Striim integrates Salesforce with other databases, providing a unified platform for handling all your Salesforce data pipelines.

Experience the Power of Striim 5.0

Maximize the value of Striim’s Salesforce connectors by optimizing your Salesforce API quota. By combining the power of Salesforce CDC with the versatility of Salesforce Reader, Striim ensures real-time data movement that aligns with your business goals. With Striim, Salesforce data integration is seamless, fast, and ready for action—keeping your business agile and efficient.

Ready to power your business with real-time data? Try Striim today with a free trial or book a demo to see it in action.

Start Your Free Trial | Schedule a Demo

Striim 5.0 Release: Introducing Automated Pipelines for Effortless Data Replication

Posted on February 25, 2025 by Striim Team | 3 min read | 4 views

The release of Striim 5.0 brings a powerful new feature, Automated Pipelines, designed to transform how businesses handle real-time data replication. Automated Pipelines empowers organizations to deploy high-performance, streaming data replication applications with just a few clicks, making complex replication processes simple and accessible for teams at any scale.

What Does Automated Pipelines Do?

Automated Pipelines allows users to create robust, low-latency data pipelines from source to target with ease, ensuring that data flows smoothly and consistently across platforms. This feature takes on the heavy lifting of configuring streaming replication, enabling businesses to move data from source systems to target environments with minimal effort and intervention. By reducing the setup complexity, it enables organizations to focus more on data-driven insights and less on infrastructure setup.

How Do You Use It?

Setting up data replication with Automated Pipelines in Striim is a straightforward, intuitive process:

Select Your Source: Choose the database or data source you want to replicate.
Choose Tables: Select specific tables or collections to move, ensuring you get precisely the data needed.
Set Your Target: Pick the target platform where the data will be replicated.
Click Start: With a simple click, your pipeline is deployed and begins streaming data in real time.

Striim’s Automated Pipelines also allow advanced configurations, such as compute-separation, for both initial load and Change Data Capture (CDC) operations. This gives users the flexibility to define different levels of compute resources for each stage of the pipeline, optimizing performance and cost efficiency based on the specific needs of the replication task.

Want to dive deeper? Check out the doc and explore more.

How Does Striim Add Value?

While many data replication solutions face a trade-off between scalability and performance, Striim’s Automated Pipelines offer a unique advantage. It combines scalability with high-performance real-time replication, making it easy to handle massive data volumes without sacrificing speed. This is particularly valuable for enterprises with high transactional workloads that need to keep up-to-date data flowing across analytics platforms, operational data stores, or data lakes.

Automated Pipelines stands out by delivering both simplicity and power, allowing organizations to efficiently manage real-time data replication without the need for extensive configurations or dedicated technical teams. It’s a game-changer for any organization looking to leverage data seamlessly across environments, enabling real-time decision-making and operational agility with minimal setup time.

Transform Your Business with Automated Pipelines – Try It Today!

Striim 5.0’s Automated Pipelines brings replication speed, ease, and control together, setting a new standard for streaming data pipelines in today’s data-driven landscape. Try out our automated pipelines today and unlock new insights from your data!

Start Your Free Trial | Schedule a Demo

Striim 5.0 Release: Introducing Striim Copilot for AI-Driven Pipeline Creation and Troubleshooting

Posted on February 25, 2025 by Striim Team | 3 min read | 4 views

In Striim’s latest release, version 5.0, Striim Copilot takes the stage as an AI-powered assistant designed to streamline the process of building, managing, and troubleshooting streaming data pipelines. Striim Copilot brings intelligent guidance and support directly into the Striim platform, enhancing productivity and reducing the time it takes to bring data projects from concept to reality.

What Does Striim Copilot Do?

Striim Copilot leverages AI to assist users at every stage of the data pipeline journey. By interpreting user inputs and making recommendations, it helps design, build, and troubleshoot streaming data pipelines in real time. Whether you’re configuring new data flows or diagnosing an issue in an existing one, Striim Copilot provides step-by-step support, guiding users through complex setups and adjustments.

This AI-driven copilot makes it simpler to manage sophisticated pipeline configurations, troubleshoot data flow issues, and optimize pipeline performance with minimal effort. It’s like having a dedicated data engineer on hand to help navigate the intricacies of streaming data solutions.

How Do You Use It?

Using Striim Copilot is as easy as having a conversation. Users can chat directly with the copilot through the Striim user interface, asking questions or describing tasks they want to accomplish. For example:

Building a Pipeline: Users can specify the data sources and targets, and Striim Copilot will guide them in setting up the pipeline, selecting transformations, and configuring the necessary settings.
Design Assistance: Copilot can suggest optimizations, propose transformations, or even recommend best practices for scaling and handling data workloads effectively.
Troubleshooting: For existing pipelines, users can describe issues, and Copilot will assist with diagnostics and offer actionable solutions to improve data flow, error handling, and latency.

This conversational AI support provides an intuitive, interactive experience, allowing both novice and experienced users to create, monitor, and refine their data pipelines with ease.

Want to dive deeper? Check out the doc and explore more.

How Does Striim Add Value?

Striim Copilot brings significant value by accelerating time-to-value for data projects. Instead of spending hours on configuration, troubleshooting, or performance optimization, users get real-time assistance that helps them reach their goals faster. By simplifying complex tasks and reducing the need for extensive technical expertise, Striim Copilot allows organizations to unlock the power of real-time data more quickly and efficiently.

With Striim Copilot, Striim is setting a new standard for usability and productivity in streaming data management. By putting AI-driven assistance at the forefront of pipeline creation and maintenance, Striim is empowering organizations to make data projects faster, more accessible, and more reliable, driving a substantial boost in productivity and operational agility.

Discover how Striim Copilot can transform your data performance—contact us today for a demo or to connect with a Striim expert.