CSV Drivers & Connectors
for Data Integration

Easy-to-use Driver offering Transact-SQL access to CSV & TSV files, with full read/write access to data. Easily integrate CSV data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.

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Other Database Technologies

BI & Analytics

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

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations

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

ETL, Replication, & Warehousing

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

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

Workflow & Automation Tools

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

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

When Only the Best CSV Drivers Will Do

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

Frequently Asked CSV Driver Questions

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

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

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

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

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

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

CSV 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 CSV 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.

CSV 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 CSV data any database or data warehouse, and maintain parity between systems with automated incremental CSV replication. In addition, our CSV 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 CSV integration. These Add-Ins provide live access to CSV data directly from Microsoft Excel.