Pivot

Pivot is a real-time analytics database for open data formats that runs low-latency, high-concurrency queries.

Pivot is a real-time analytics database designed for open data formats like Apache Iceberg and Delta Lake. It provides low-latency, high-concurrency queries without requiring data duplication into proprietary engines. The database scales up, down, or to zero almost instantly using object storage as its backing store and state. Users can run Pivot locally from a terminal or AI agent, or as a shared server and cluster connected via the Postgres protocol. It handles ingestion, compaction, and statistics to keep tables ready for sub-second SQL queries. The platform integrates with tools like Snowflake, Spark, DuckDB, and Trino, and its open source repository includes benchmark harnesses for reproduction.

Pivot at a glance

Best for: Software engineer, Researcher
Runs on: CLI, self-hosted
Pricing: Open source
Released: October 2026
Category: AI search engine
Website: pivotlake.io

Key features

Run low-latency and high-concurrency queries
Scale up, down, or to zero almost instantly
Connect via Postgres protocol
Query external Apache Iceberg tables
Manage Delta Lake data
Handle ingestion, compaction, and statistics
Run locally from terminal or AI agent

Use it for

Run ad hoc queries and AI agents locally
Query external Iceberg tables with low latency
Analyze open data formats without data duplication
Connect applications, BI tools, and SQL clients

Alternatives to Pivot

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PixelRAG — Preserves visual structure like tables and charts that text parsers miss.
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Orama — Runs in browsers, servers, and edge networks with zero dependencies.
Searchbase — Independent web access with support for REST, MCP, self-hosting, and managed cloud.

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