Streak Drivers & Connectors
for Data Integration

Connect to live Streak data from reporting tools, databases, and custom applications through standards-based drivers. Easily integrate Streak data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.

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BI & Analytics

Our drivers offer the fastest and easiest way to connect real-time Streak data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to Streak data and metadata, and seamlessly integrate with your favorite analytics tools.

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations

Alteryx Designer: Prepare, Blend, and Analyze Streak in Alteryx Designer (ODBC) Amazon QuickSight: Build Interactive Dashboards from Streak Data in Amazon QuickSight Aqua Data Studio: Connect to Streak in Aqua Data Studio AWS Databricks: Process & Analyze Streak Data in Databricks (AWS) Birst: Build Visualizations of Streak in Birst BIRT: Design BIRT Reports on Streak Clear Analytics: Build Charts with Streak in Clear Analytics DBxtra: Build Dashboards with Streak in DBxtra Domo: Create Datasets from Streak in Domo Workbench Dundas BI: Build Dashboards with Streak in Dundas BI Excel (on Mac OS): Work with Streak Data in MS Excel on Mac OS X FineReport: Feed Streak into FineReport IBM Cognos BI: Create Data Visualizations in Cognos BI with Streak Infragistics Reveal: Analyze Streak Data in Infragistics Reval JasperServer: Create Streak Reports on JasperReports Server Jaspersoft BI Suite: Connect to Streak in Jaspersoft Studio JReport Designer: Integrate with Streak in JReport Designer Klipfolio: Create Streak-Connected Visualizations in Klipfolio KNIME: Enable the Streak JDBC Driver in KNIME LINQPad: Working with Streak in LINQPad Microsoft SSAS: Build an OLAP Cube in SSAS from Streak MicroStrategy: Connect to Live Streak Data in MicroStrategy through Connect Server MicroStrategy: Use the CData JDBC Driver for Streak in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Streak in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Streak in MicroStrategy Web OBIEE: Streak Reporting in OBIEE with the Streak JDBC Driver pandas: Use pandas to Visualize Streak in Python Pentaho Report Designer: Integrate Streak in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Streak Power BI Service: Visualize Live Streak Data in the Power BI Service Power Pivot: Access Streak Data in Microsoft Power Pivot Power Query: Access Streak Data in Microsoft Power Query Qlik Cloud: Create Apps from Streak Data in Qlik Sense Cloud QlikView: Connect to and Query Streak in QlikView over ODBC R: Analyze Streak in R (JDBC) R: Analyze Streak in R (ODBC) RapidMiner: Connect to Streak in RapidMiner Redash: Build Streak-Connected Dashboards in Redash SAP Analytics Cloud: Analyze Streak Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Streak SAP Crystal Reports: Publish Reports with Streak in Crystal Reports SAS: Use the CData ODBC Driver for Streak in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for Streak in SAS JMP Sisense: Visualize Live Streak in Sisense Spago BI: Connect to Streak in SpagoBI Tableau: Visualize Streak in Tableau Desktop Tableau Cloud: Build Streak Visualizations in Tableau Cloud Tableau Server: Publish Streak-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize Streak in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize Streak Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on Streak from Spotfire Server

ETL, Replication, & Warehousing

From drivers and adapters that extend your favorite ETL tools with Streak connectivity to ETL/ELT tools for Streak data integration — our Streak integration solutions provide robust, reliable, and secure data movement.

Connect your RDBMS or data warehouse with Streak to facilitate operational reporting, offload queries and increase performance, support data governance initiatives, archive data for disaster recovery, and more.

Popular Data Warehousing Integrations

Amazon Redshift: Automated Continuous Streak Replication to Amazon Redshift Amazon S3: Automated Continuous Streak Replication to Amazon S3 Apache Airflow: Bridge Streak Connectivity with Apache Airflow Apache Camel: Integrate with Streak using Apache Camel Apache Cassandra: Automated Continuous Streak Replication to Apache Cassandra Apache Kafka: Automated Continuous Streak Replication to Apache Kafka Apache NiFi: Bridge Streak Connectivity with Apache NiFi Azure Data Lake: Automated Continuous Streak Replication to Azure Data Lake Azure Synapse: Automated Continuous Streak Replication to Azure Synapse BIML: Use Biml to Build SSIS Tasks to Replicate Streak to SQL Server CloverDX: Connect to Streak in CloverDX (formerly CloverETL) Couchbase: Automated Continuous Streak Replication to Couchbase CSV: Automated Continuous Streak Replication to Local Delimited Files Databricks: Automated Continuous Streak Replication to Databricks FoxPro: Work with Streak in FoxPro Google AlloyDB: Automated Continuous Streak Replication to Google AlloyDB Google BigQuery: Automated Continuous Streak Replication to Google BigQuery Google Cloud SQL: Automated Continuous Streak Replication to Google Cloud SQL Google Data Fusion: Build Streak-Connected ETL Processes in Google Data Fusion Heroku / Salesforce Connect: Replicate Streak for Use in Salesforce Connect HULFT Integrate: Connect to Streak in HULFT Integrate IBM DB2: Automated Continuous Streak Replication to IBM DB2 Informatica Cloud: Integrate Streak in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for Streak Jaspersoft ETL: Connect to Streak in Jaspersoft Studio Microsoft Access: Automated Continuous Streak Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous Streak Replication to Azure SQL Microsoft Power Automate: Build Streak-Connected Automated Tasks with Power Automate (Desktop) MongoDB: Automated Continuous Streak Replication to MongoDB MySQL: Automated Continuous Streak Replication to MySQL Oracle Data Integrator: ETL Streak in Oracle Data Integrator Oracle Database: Automated Continuous Streak Replication to Oracle petl: Extract, Transform, and Load Streak in Python PostgreSQL: Automated Continuous Streak Replication to PostgreSQL Replicate to MySQL: Replicate Streak to MySQL with PowerShell SAP HANA: Automated Continuous Streak Replication to SAP HANA SingleStore: Automated Continuous Streak Replication to SingleStore SnapLogic: Integrate Streak with External Services using SnapLogic Snowflake: Automated Continuous Streak Replication to Snowflake SQL Server: Automated Continuous Streak Replication to SQL Server SQL Server Linked Server: Connect to Streak Data as a SQL Server Linked Server SQLite: Automated Continuous Streak Replication to SQLite Talend: Connect to Streak and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to Streak in UiPath Studio Vertica: Automated Continuous Streak Replication to a Vertica Database

Workflow & Automation Tools

Connect to Streak from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to Streak data from popular applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and many more.

Popular Workflow & Automation Tool Integrations

Developer Tools & Technologies

The easiest way to integrate with Streak from anywhere. Our Streak drivers offer a data-centric model for Streak that dramatically simplifies integration — allowing developers to build higher quality applications, faster than ever before. Learn more about the benefits for developers:

Popular Developer Integrations

.NET Charts: DataBind Charts to Streak .NET QueryBuilder: Rapidly Develop Streak-Driven Apps with Active Query Builder Angular JS: Using AngularJS to Build Dynamic Web Pages with Streak Apache Spark: Work with Streak in Apache Spark Using SQL AppSheet: Create Streak-Connected Business Apps in AppSheet C++Builder: DataBind Controls to Streak Data in C++Builder ColdFusion: Query Streak in ColdFusion Using JDBC ColdFusion: Query Streak in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on Streak Delphi: DataBind Controls to Streak Data in Delphi DevExpress: DataBind Streak to the DevExpress Data Grid EF - Code First: Access Streak with Entity Framework 6 EF - LINQ: LINQ to Streak EF - MVC: Build MVC Applications with Connectivity to Streak Filemaker Pro: Bidirectional Access to Streak from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to Streak from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with Streak on Linux Google Apps Script: Connect to Streak Data in Google Apps Script Hibernate: Object-Relational Mapping (ORM) with Streak Entities in Java IntelliJ: Connect to Streak in IntelliJ JBoss: Connect to Streak from a Connection Pool in JBoss JDBI: Create a Data Access Object for Streak using JDBI JRuby: Connect to Streak in JRuby Microsoft Power Apps: Integrate Live Streak Data into Custom Business Apps Built in Power Apps NodeJS: Query Streak Data in Node.js (via Connect Server) NodeJS: Query Streak through ODBC in Node.js PHP: Access Streak in PHP through Connect Server PHP: Natively Connect to Streak in PHP PowerBuilder: Connect to Streak from PowerBuilder PowerShell: Pipe Streak to CSV in PowerShell PyCharm: Using the CData ODBC Driver for Streak in PyCharm Python: Connect to Streak in Python on Linux/UNIX React: Build Dynamic React Apps with Streak Data Ruby: Connect to Streak in Ruby RunMyProcess: Connect to Streak Data in RunMyProcess RunMyProcess DSEC: Connect to Streak in DigitalSuite Studio through RunMyProcess DSEC SAP UI5: Integrate Real-Time Access to Streak in SAPUI5 MVC Apps Servoy: Build Streak-Connected Apps in Servoy Spring Boot: Access Live Streak Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access Streak in Python Tomcat: Configure the CData JDBC Driver for Streak in a Connection Pool in Tomcat Unqork: Create Streak-Connected Applications in Unqork VCL App (RAD Studio): Build a Simple VCL Application for Streak WebLogic: Connect to Streak from a Connection Pool in WebLogic

When Only the Best Streak Drivers Will Do

See what customers have to say about our products and support.

Frequently Asked Streak Driver Questions

Learn more about Streak drivers & connectors for data and analytics integration

The Streak driver acts like a bridge that facilitates communication between various applications and Streak, allowing the application to read data as if it were a relational database. The Streak driver abstracts the complexities of Streak APIs, authentication methods, and data types, making it simple for any application to connect to Streak data in real-time via standard SQL queries.

Working with a Streak Driver is different than connecting with Streak through other means. Streak API integrations require technical experience from a software developer or IT resources. Additionally, due to the constant evolution of APIs and services, once you build your integration you have to constantly maintain Streak integration code moving forward.

By comparison, our Streak Drivers offer codeless access to live Streak data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Streak data from any client application. Because our drivers conform to standard data interfaces like ODBC, JDBC, ADO.NET etc. they offer a consistent, maintenance-free interface to Streak data. We manage all of the complexities of Streak integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

Many organizations draw attention to their library of connectors. After all, data connectivity is a core capability needed for applications to maximize their business value. However, it is essential to understand exactly what you are getting when evaluating connectivity. Some vendors are happy to offer connectors that implement basic proof-of-concept level connectivity. These connectors may highlight the possibilities of working with Streak, but often only provide a fraction of capability. Finding real value from these connectors usually requires additional IT or development resources.

Unlike these POC-quality connectors, every CData Streak driver offers full-featured Streak data connectivity. The CData Streak drivers support extensive Streak integration, providing access to all of the Streak data and meta-data needed by enterprise integration or analytics projects. Each driver contains a powerful embedded SQL engine that offers applications easy and high-performance access to all Streak data. In addition, our drivers offer robust authentication and security capabilities, allowing users to connect securely across a wide range of enterprise configurations. Compare drivers and connectors to read more about some of the benefits of CData's driver connectivity.

With our drivers and connectors, every data source is essentially SQL-based. The CData Streak driver contains a full SQL-92 compliant engine that translates standard SQL queries into Streak API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Streak as possible. Any logic that can not be pushed to Streak is handled transparently client-side by the driver/connector engine. Ultimately, this means that Streak looks and acts exactly like a database to any client application or tool. Users can integrate live Streak connectivity with ANY software solution that can talk to a standard database.

The Streak drivers and connectors offer comprehensive access to Streak data. Our Streak driver exposes static and dynamic data and metadata, providing universal access to Streak data for any enterprise analytics or data mangement use. To explore the Streak driver data model, please review the edition-specific Streak driver documentation.

Using the CData Streak drivers and connectors, Streak can be easily integrated with almost any application. Any software or technology that can integrate with a database or connect with standards-based drivers like ODBC, JDBC, ADO.NET, etc., can use our drivers for live Streak data connectivity. Explore some of the more popular Streak data integrations online.

Streak Analytics is universally supported for BI and data science. In addition, CData provides native client connectors for popular analytics applications like Power BI, Tableau, and Excel that simplify Streak data integration. Additionally, native Python connectors are widely available for data science and data engineering projects that integrate seamlessly with popular tools like Pandas, SQLAlchemy, Dash, and Petl.

Streak data integration is typically enabled with CData Sync, a robust any-to-any data pipeline solution that is easy to set up, runs everywhere, and offers comprehensive enterprise-class features for data engineering. CData Sync makes it easy to replicate Streak data any database or data warehouse, and maintain parity between systems with automated incremental Streak replication. In addition, our Streak drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. CData offers native Excel Add-Ins for Streak integration. These Add-Ins provide live access to Streak data directly from Microsoft Excel.