Parquet ODBC Driver
SQL-based access to Parquet through ODBC for seamless integration with BI, ETL, and reporting with just a few clicks.
The Parquet ODBC Driver is a powerful tool that allows you to connect with live data from Parquet, directly from any applications that support ODBC connectivity. Access Parquet data like you would a database - read Parquet data through a standard ODBC Driver interface.
See what you can do with Parquet ODBC Driver
Server
Connect to Parquet from SQL Server as Linked-Server. You can query Parquet from familiar Transact-SQL without need of setting up another application.
Integrate Parquet to your system through popular ETL / EAI tools such as Informatica PowerCenter. Standard SQL and Stored Procedures enable fast delivery of your integration projects.
Connect Parquet from any ODBC compatible tools:
Desktop
Your familiar tools can connect to Parquet using CData ODBC.
- Microsoft Access
- Power Query
- DBeaver
- and more
Parquet ODBC Connectivity Features
- SQL access to Apache Parquet data
- Connect to live Apache Parquet data, for real-time data access with the Apache Parquet 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 Apache Parquet 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 Parquet Connector.
Target Service, API
The driver provides SQL access to Apache Parquet files. Supports local files, network paths, and cloud storage locations (S3, Azure Blob, etc.).
Schema, Data Model
Automatically infers schema from Parquet file metadata. Supports complex types including nested structures and arrays.
Key Objects
Parquet files are exposed as tables. Each file or set of files in a directory becomes a queryable table. Supports partitioned datasets.
Operations
Read-only SQL queries on Parquet data. Supports filtering, projections, and aggregations with predicate pushdown for optimal performance.
Authentication
File system or cloud storage authentication. For cloud storage, supports AWS credentials, Azure credentials, or Google Cloud credentials.
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Robust ODBC access to Apache Parquet
Full-featured and consistent SQL access to any supported data source through ODBC
Connect to Parquet—empower every team
AI-assisted development with CData CLI
Build Parquet integrations faster with AI that understands your schema
Schema-aware AI
CData CLI gives AI coding tools access to your Parquet schema. No more guessing table names or column types—AI sees the same metadata in your ODBC Drivers.
Your AI Knows SQL
How to find table names, column names, and how to generate SQL syntax are things that AI knows well from millions of training data. No need for customization, no hallucinations. Your AI acts like a domain specialist to Parquet.
More Accurate, More Token-Efficient
With CData CLI's queryable schema detection and highly efficient queries with filters, aggregation, joins with correct pushdown, your AI will achieve more accuracy with less token usage.
FAQs
Frequently asked Parquet ODBC driver questions
Learn more about Parquet ODBC drivers for data and analytics integration
- Does Parquet support ODBC?
- Is there an ODBC driver for Parquet?
- How do I connect to Parquet via ODBC?
- Where can I download an ODBC driver for Parquet?
- How do I install an ODBC driver for Parquet?
- Is the Parquet ODBC driver 32-bit or 64-bit?
- Does pyODBC work with Parquet?
- Does the ODBC connector support ARM64 devices?
Download the Parquet ODBC Driver today!
Get the latest Parquet ODBC Drivers for Windows, Linux, and macOS. Install in minutes and connect your Parquet data to Power BI, Tableau, and more.