Apache Supersetâ„¢ Now Supports Rockset
Blog post from Preset
Rockset is a real-time indexing database designed for cloud environments, utilizing RocksDB for rapid data storage and retrieval, and is particularly suited for powering data-intensive, customer-facing applications. It achieves high-speed querying through its Converged Index, which automatically indexes semi-structured data in three ways, enabling millisecond query latency on large data sets. Apache Superset, an open-source BI platform built with modern technologies, offers a powerful no-code chart builder that simplifies the creation of real-time dashboards when paired with Rockset's data processing capabilities. To integrate Rockset with Superset, a SQLAlchemy dialect and a Python DB-API 2.0 library are required, along with a specific database engine spec to support features like time grains. Recent developments have included the addition of a Rockset database engine spec to Superset's codebase, facilitating its use in Superset deployments, whether through Docker or a native setup, and allowing connections via API keys for various regions. However, certain features, such as query lambdas and CSV upload, are still under development, with ongoing efforts to enhance integration and functionality.
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