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:

1. 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.
2. 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.

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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.

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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.

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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:

1. Select Your Source: Choose the database or data source you want to replicate.
2. Choose Tables: Select specific tables or collections to move, ensuring you get precisely the data needed.
3. Set Your Target: Pick the target platform where the data will be replicated.
4. 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! 

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Organizations need to ensure their systems are integrated seamlessly for efficient decision-making. Striim’s 5.0 release introduces the Microsoft Dataverse Writer, a powerful target adapter that enhances how businesses integrate and write data to Microsoft Dataverse. With its ability to handle both standard and custom objects, Striim allows companies to unlock real-time insights and drive more informed decisions across their operations.

What Does It Do?

The Microsoft Dataverse Writer adapter is designed to write events to Microsoft Dataverse using the Dataverse Web API. By leveraging the ODATA standard REST interfaces of Dataverse, this adapter supports all basic Data Manipulation Language (DML) operations. It allows you to write events to both standard and custom objects within a Dataverse instance. The adapter can handle writing large groups of events—up to 1000 events in a single OData Batch API call—offering significant scalability for enterprises. Additionally, you can configure an expiration property for the batch, adding flexibility in managing data flow.

How Do You Use It?

Using the Microsoft Dataverse Writer is simple and adaptable to your business needs. The adapter connects to a Dataverse instance using either a manual password credential grant flow or an automated OAuth flow with a public OAuth app. This flexibility ensures that you can securely and efficiently authenticate and authorize the connection between Striim and your Dataverse instance, giving you control over how data is managed and processed.

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

How Does Striim Add Value?

Striim provides immense value by enabling real-time data flow with high throughput and low latency. This ensures that businesses can handle large-scale data with minimal delay, providing immediate insights and improving decision-making processes. For example, Striim can power hyper-personalized marketing campaigns by integrating data across platforms, prioritize high-value customer interactions through lead and account scoring, and optimize operations like customer support ticket management, pricing, and inventory.

Plus, Striim’s integration with Microsoft Dataverse enhances the flexibility and accuracy of your data by supporting both standard and custom objects. Although the adapter currently does not support relationships across tables (like foreign keys), the ability to specify key columns ensures data consistency and integrity across your operations.

Transform Your Business Today!

Striim’s Microsoft Dataverse Writer empowers businesses to harness the full potential of their Dataverse data, driving real-time insights and enabling smarter business strategies. 

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’s new 5.0 release introduces the ServiceNow Reader and Writer adapters, a game-changing feature that enhances how companies integrate and manage their data with ServiceNow. By seamlessly reading from and writing to ServiceNow’s platform, Striim enables businesses to optimize workflows and improve operational efficiency like never before.

What Does It Do?

The ServiceNow Reader and Writer adapters leverage ServiceNow’s REST APIs to read from and write into the tables and objects within the ServiceNow instance. The ServiceNow Reader emits WAEvents, which can then be propagated to various target systems supported by Striim. Whether it’s integrating with CRM systems like Salesforce or pushing data to analytics platforms, this powerful feature streamlines the movement of data and ensures that businesses have access to real-time insights.

How Do You Use It?

Using Striim’s ServiceNow Reader and Writer adapters is straightforward. The reader allows you to pull data from your ServiceNow platform in real-time, making it ideal for applications that require constant updates, such as customer service and IT operations. With this functionality, you can ensure that your systems are always working with the latest data, enabling more responsive and efficient operations.

Meanwhile, the writer enables reverse ETL functionality, allowing you to push insights from analytics systems back into ServiceNow. This makes it easier to implement use cases like Next Best Action or Real-Time Personalization. By doing so, your teams are provided with the most up-to-date information to act on, ensuring more informed decisions and optimized customer interactions.

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

How Does Striim Add Value?

Striim brings immense value by providing the fastest way to read from ServiceNow in real-time, enhancing operational workflows and ensuring your data is always fresh. It also supports a wide range of data warehouses and data lake applications, enabling companies to move their ServiceNow data quickly for building analytical reports, identifying trends, and optimizing process automation. With Striim’s power of real-time data migration, businesses can extract greater value from their ServiceNow data, improving decision-making and operational efficiency.

Transform Your Business Today!

Striim’s ServiceNow Reader and Writer are the perfect tools to help you transform your business, ensuring that your workflows and data integration processes remain 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.

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Real-time insights are crucial for making data-driven decisions and staying ahead of the competition. Striim 5.0’s latest feature, the Google Ads Reader, helps businesses unlock the full potential of their Google Ads data by providing seamless, real-time integration with analytical systems like BigQuery and Snowflake. Let’s dive into what this feature can do, how to use it, and the value Striim adds to your business.

What Does It Do?

The Google Ads Reader enables businesses to sync their Google Ads data in real time using the Google Ads API v15. This integration simplifies the process of reading, analyzing, and acting on your ads data by directly feeding it into powerful analytics platforms. Whether you’re analyzing campaign performance, user engagement, or ad effectiveness, Striim helps you create smart, efficient data pipelines that provide valuable insights for better decision-making.

How Do You Use It?

Striim’s Google Ads Reader supports three modes of operation, allowing you to choose the best approach based on your needs:

1. Initial Load: Start by setting the mode in the Google Ads Reader to load your historical data, providing a baseline for further analysis.
2. Incremental Load: Once the initial load is complete, use the “Incremental Load” mode for near real-time continuous replication. The adapter reads new source data at regular intervals, ensuring your insights stay up to date.
3. Automated Mode: In this mode, the reader completes the initial load at the application’s start time. After that, it automatically begins polling for incremental changes at the specified interval, making it a seamless and hands-off solution for ongoing data synchronization.

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

How Does Striim Add Value?

Striim’s real-time data integration offers significant advantages for businesses looking to optimize their marketing strategies:

• Real-Time Data Integration: Striim allows you to ingest and process data in real time, writing it directly into popular data warehouses like Google BigQuery and Snowflake. This enables faster, more informed decisions, helping you respond quickly to shifts in market dynamics and customer behavior.
• Historical Data Analysis: With Striim, you can bypass Google Ads’ data retention limits and store historical data for long-term trend analysis. This feature allows you to track the performance of your ads campaigns over time, providing deeper insights into what works and what doesn’t.

Transform Your Business with Real-Time Insights

Striim’s Google Ads Reader makes it easy to integrate your Google Ads data into your analytics systems for smarter, data-driven marketing decisions. 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.

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Striim 5.0 Release: Unlock Real-Time Insights with the JIRA Reader Integration

Striim 5.0 brings exciting new features that streamline real-time data management and empower businesses to make data-driven decisions faster. Among these, the new Atlassian JIRA Reader stands out as a key innovation, enabling seamless integration with JIRA, a powerful issue tracking system widely used for bug tracking and project management. In this post, we’ll explore what the JIRA Reader does, how to use it, and the value Striim adds to your business.

What Does the JIRA Reader Do?

The JIRA Reader in Striim 5.0 facilitates the movement of data from a JIRA instance to any supported Striim target system. By leveraging JIRA’s REST APIs (version 9.11), it reads tables and objects from JIRA and emits WAEvents, which can be propagated to Striim’s target systems. Whether you’re analyzing project data, bug reports, or team performance, the JIRA Reader can help you manage and analyze this data in real-time. For a comprehensive list of supported targets, you can check out Striim’s documentation.

How Do You Use It?

Using the JIRA Reader is simple. The reader operates in “Automated” mode, where it first performs an initial load of data from your JIRA instance, starting at the application’s specified time. Once the initial load is complete, it automatically begins polling for incremental changes at the configured interval, ensuring continuous data synchronization. This automated process saves time and reduces the need for manual intervention, making it easy to keep your data fresh and up to date.

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

How Does Striim Add Value?

Striim’s JIRA Reader enhances your ability to manage large-scale data with high throughput and low latency. Real-time data flow ensures that you can process and analyze information as it comes in, offering immediate insights for decision-making.

For example, by using the JIRA Reader, you can create real-time reports on project progress, bug data, team velocity, and key performance indicators (KPIs). Writing JIRA project data into data lakes or warehouses enables you to identify patterns, potential problems, and areas for improvement. With this kind of actionable insight, your business can make smarter decisions, improve processes, and boost team productivity.

Transform Your Business Today!

The JIRA Reader feature, combined with Striim’s real-time capabilities, helps businesses stay agile and responsive in today’s fast-paced environment. By integrating your JIRA data with Striim’s platform, you unlock the power of data-driven decision-making and continuous improvement.

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.

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