CSV JDBC Driver
Easily connect live CSV data with Java-based BI, ETL, Reporting, AI/ML & Custom Apps.
download buy nowOther Database Drivers
-
-
Redis
learn more » -
Couchbase
learn more » -
MarkLogic
learn more » -
Microsoft SQL Server
learn more » -
MariaDB
learn more » -
MySQL
learn more » -
PostgreSQL
learn more » -
SQLite
learn more » -
Microsoft Access
learn more » -
Pivotal GreenPlum
learn more » -
Snowflake
learn more » -
SQL Analysis Services
learn more » -
Teradata
learn more » -
xBase
learn more » -
XML Files
learn more »
The CSV JDBC Driver enables users to connect with live CSV data, directly from any applications that support JDBC connectivity. Rapidly create and deploy powerful Java applications that integrate with delimited flat-file (CSV/TSV) data.
CSV
CSV JDBC Connectivity Features
- SQL-92 access to CSV files and CSV streams and web services
- Support for accessing remote flat files via SFTP
- Connect to live CSV/TSV Files data, for real-time data access with the CSV/TSV Files ADO.NET Provider
- Full support for data aggregation and complex JOINs in SQL queries
- Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
- Generate table schema automatically based on existing CSV/TSV Files data or manually for greater control of the content you need
- Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the CSV Connector.
Target Service, API
The driver provides SQL-92 access to CSV/TSV files and CSV streams/web services. It can read from local files, network paths, and URLs. Supports various delimiters and automatically detects file structure.
Schema, Data Model
Automatically generates table schema based on CSV/TSV file data with options for manual schema definition. Supports header row detection for column names. Can work with Schema.ini files for format specification. Handles dynamic typing and supports row scanning for metadata detection.
Key Objects
CSV/TSV files are exposed as tables. Each file becomes a queryable table with columns corresponding to the fields in the delimited data. Supports multiple files in a folder as separate tables.
Operations
Full SQL-92 operations including SELECT, INSERT, UPDATE, DELETE. Supports JOINs across multiple CSV files, aggregations, and filtering. Can create new CSV files and append to existing ones. Provides caching and replication capabilities for performance optimization.
Authentication
File system access control based on operating system permissions. For remote files accessed via URLs, supports standard HTTP authentication methods.
Specific feature or properties
The driver covers CSV files in local, Amazon S3, Azure Blob Storage, Azure Data Lake Storage Gen1, Azure Data Lake Storage Gen2, Azure Data Lake Storage Gen2 SSL, Azure Files, Box, Dropbox, FTP, FTPS, Google Cloud Storage, Google Drive, HDFS, HDFS Secure, HTTP, HTTPS, IBM Object Storage Source, OneDrive, OneLake, Oracle Cloud Storage, SFTP, SharePoint REST, SharePoint SOAP.
JDBC Access to CSV/TSV Files
Full-featured and consistent SQL access to any supported data source through JDBC
-
Certified Compatibility*
Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like SAP Crystal Reports, Pentaho, Business Objects, Crystal Reports and many more.
-
Metadata Discovery
Full support for JDBC DatabaseMetaData provides extensive schema discovery capabilities. Explore tables, columns, keys, and other data constructs based on user identity.
-
Developer Friendly
Design-time support for all major Java IDEs, including Eclipse, IntelliJ, and NetBeans.
-
JDBC Remoting
Our exclusive remoting feature allows hosting the JDBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python), using any standards-based technology (ODBC, JDBC, etc.). JDBC Remoting is enabled using the popular MySQL wire protocol server.
-
Replication and Caching
Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.
-
String, Date, Numeric SQL Functions
The driver includes a library of over 50 functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.
-
Collaborative Query Processing
Our drivers enhance the data source's capabilities by additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.
-
Easily Customizable and Configurable
The data model exposed by our JDBC Drivers can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.
-
Secure Connectivity
Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.
See what you can do with CSV JDBC Driver
Integrate CSV into your systems and data warehouses through popular Java-based ETL/EAI tools. Supports both self-hosted environments and cloud service deployment.
Connect to CSV from any JDBC-compatible BI, reporting, and data virtualization platform. Provides seamless integration using SQL as the standard query interface across all tools.
Use the CSV JDBC Driver to rapidly deliver Java-based applications that connect with CSV. Universal SQL-based interactivity simplifies integration and speeds time to market.
Connect to CSV — empower every team
- CData JDBC Drivers for CSV will act as if it is a native connector for you ETL, BI, Data Virtualization tool.
- Organizations can connect to the new services to capture full view of business, or migrate to modern data technology while maintaining the connection to existing sytems.
- Speed up your AI initiative with CData. Connect your data with the AI / ML platform of your choice.
Need to integrate your internal systems with CSV? CData JDBC Drivers let you do it easily. Java based applications can easily connect to CSV with SQL/JDBC — any ETL, EAI (Enterprise Application Integration), ESB (Enterpriese Service Bus) can connect to CSV.
- Embed CData JDBC Drivers for CSV to your product and differentiate with your connectivity
- Standard SQL access. Stop researching on different authentication, data model and query methods.
- Utilize your resource to build your product, CData takes care of your connectivity
Frequently Asked CSV JDBC Driver Questions
Learn more about CSV JDBC drivers for data and analytics integration
Can CSV be used with Java?
Yes, CSV can be used with Java . CData provides a JDBC type 4/5 driver for CSV that allows Java applications to connect to CSV using standard JDBC APIs. This driver enables you to execute SQL queries, manage connections, and process data stored in CSV from Java, or any Java-based application that supports JDBC.
Does CSV support JDBC?
Not natively. However, CData offers a JDBC driver for CSV that allows you to connect to CSV data from any Java-based application that supports JDBC, just like you would access a traditional database. This can be useful for tasks like:
- Accessing CSV from applications: Connect to CSV data in popular tools and applications including Informatica, Talend, Apache Spark, Apache NiFi, and many others.
- Real-time data: You can work with live CSV data within these applications, enabling tasks like reporting and analysis.
- Connecting systems: Build data integrations between CSV and other systems.
The CSV JDBC driver is a pure Java type 4/5 driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via JDBC, can use the CData JDBC driver for real-time integration. Download a fully functional free trial of the CSV JDBC driver today to get started.
Is there a JDBC driver for CSV?
Yes, the CData JDBC driver for CSV provides universal JDBC data connectivity for CSV. The CSV JDBC driver offers a simple SQL-based layer of abstraction that simplifies real-time data access for users and applications, enabling them to communicate with CSV using a standardized set of functions. Virtually any application on any platform can use the CData JDBC driver for real-time integration.
How do I connect to CSV via JDBC?
Connectivity to CSV via JDBC is easy. First, download and install the CSV JDBC driver.
Once the installation is complete, navigate to the JDBC driver documentation page. Here, you'll find a wealth of information about the installed driver. The step-by-step instructions for creating a DSN and using it to connect to CSV via JDBC are just the beginning. The documentation also provides extensive configuration details for using the CSV JDBC driver with all your favorite applications and development tools, ensuring you have all the support you need.
Where can I download a JDBC driver for CSV?
All of the CData JDBC drivers, including the CSV JDBC driver are available for download online. To get started, download a fully functional free trial of the CSV JDBC driver today.
How do I install the JDBC driver for CSV?
To install the CSV driver, simply download one of the CSV JDBC driver installers available online. The installers are comprehensive setup utilities that will install all the components required to use the CSV JDBC driver on your system.
Popular JDBC Videos:
