Slack Drivers & Connectors
for Data Integration

Read, Write, and Update Slack channel data through easy-to-use bi-directional drivers. Easily integrate Slack 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 Slack data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to Slack 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 Slack in Alteryx Designer (ODBC) Alteryx Designer: Work with Live Slack Data in Alteryx Designer (Connect Cloud) Amazon QuickSight: Build Interactive Dashboards from Slack Data in Amazon QuickSight Amazon SageMaker: Integrate Live Slack data into Amazon SageMaker Canvas Aqua Data Studio: Connect to Slack in Aqua Data Studio AWS Databricks: Process & Analyze Slack Data in Databricks (AWS) Azure Analysis Services: Model Slack Data Using Azure Analysis Services Birst: Build Visualizations of Slack in Birst BIRT: Design BIRT Reports on Slack Clear Analytics: Build Charts with Slack in Clear Analytics Cognos Analytics (On-Prem): Analyze Slack Data in Cognos Analytics DBxtra: Build Dashboards with Slack in DBxtra Domo: Create Datasets from Slack in Domo Workbench Dundas BI: Build Dashboards with Slack in Dundas BI Excel (on Mac OS): Work with Slack Data in MS Excel on Mac OS X FineReport: Feed Slack into FineReport Google Sheets: Access Live Slack Data in Google Sheets IBM Cognos BI: Create Data Visualizations in Cognos BI with Slack Infragistics Reveal: Analyze Slack Data in Infragistics Reval JasperServer: Create Slack Reports on JasperReports Server Jaspersoft BI Suite: Connect to Slack in Jaspersoft Studio JReport Designer: Integrate with Slack in JReport Designer Klipfolio: Create Slack-Connected Visualizations in Klipfolio KNIME: Enable the Slack JDBC Driver in KNIME LINQPad: Working with Slack in LINQPad Looker: Analyze Slack Data in Looker Looker Studio: Create Reports from Slack Data in Looker Studio Metabase: Create Interactive Slack-Connected Metabase Dashboards Microsoft Excel: Access Live Slack Data in Excel Desktop Microsoft Excel for the Web: Access Live Slack Data in Excel for the Web Microsoft SSAS: Build an OLAP Cube in SSAS from Slack MicroStrategy: Connect to Live Slack Data in MicroStrategy through Connect Cloud MicroStrategy: Use the CData JDBC Driver for Slack in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Slack in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Slack in MicroStrategy Web Mode Analytics: Create Slack-Connected Visualizations in Mode OBIEE: Slack Reporting in OBIEE with the Slack JDBC Driver pandas: Use pandas to Visualize Slack in Python Pentaho Report Designer: Integrate Slack in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Slack Power BI Service: Visualize Live Slack Data in the Power BI Service Power Pivot: Access Slack Data in Microsoft Power Pivot Power Query: Access Slack Data in Microsoft Power Query Qlik Cloud: Create Apps from Slack Data in Qlik Sense Cloud QlikView: Connect to and Query Slack in QlikView over ODBC R: Analyze Slack in R (JDBC) R: Analyze Slack in R (ODBC) RapidMiner: Connect to Slack in RapidMiner Redash: Build Slack-Connected Dashboards in Redash SAP Analytics Cloud: Analyze Slack Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Slack SAP Crystal Reports: Publish Reports with Slack in Crystal Reports SAS: Use the CData ODBC Driver for Slack in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for Slack in SAS JMP SAS Viya: Analyze Live Slack Data in SAS Viya Sisense: Visualize Live Slack in Sisense Spago BI: Connect to Slack in SpagoBI Tableau: Visualize Slack in Tableau Desktop Tableau Cloud: Build Slack Visualizations in Tableau Cloud Tableau Server: Publish Slack-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize Slack in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize Slack Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on Slack from Spotfire Server Visio: Link Visio Shapes to Slack Zoho Analytics: Create Slack-Connected Dashboards in Zoho Analytics

ETL, Replication, & Warehousing

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

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

Popular Data Warehousing Integrations

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

Workflow & Automation Tools

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

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

When Only the Best Slack Drivers Will Do

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

Frequently Asked Slack Driver Questions

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

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

Working with a Slack Driver is different than connecting with Slack through other means. Slack 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 Slack integration code moving forward.

By comparison, our Slack Drivers offer codeless access to live Slack data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Slack 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 Slack data. We manage all of the complexities of Slack integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

If you need truly zero-maintenance integration, check out connectivity to Slack via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to Slack from any of the available Cloud Drivers and Client Applications. Connectivity to Slack is managed in the cloud, and you never have to worry about installing new drivers when Slack is updated.

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

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

Using the CData Slack drivers and connectors, Slack 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 Slack data connectivity. Explore some of the more popular Slack data integrations online.

Additionally, since Slack supported by CData Connect Cloud, we enable all kinds of new Slack cloud integrations.

Slack Analytics and Slack Cloud BI integration 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 Slack 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.

Slack 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 Slack data any database or data warehouse, and maintain parity between systems with automated incremental Slack replication. In addition, our Slack drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. The best way to integrate Slack with Excel is by using the CData Connect Cloud Excel Add-In. The Slack Excel Add-In provides easy Slack integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Slack from the easy-to-use cloud interface, and access Slack just like you would another native Excel data source.