Parquet drivers & connectors for data integration

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

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

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

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

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

Parquet 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 Parquet 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.

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