SereneDB

SereneDB

SereneDB is a real-time search analytics database that unifies full-text, vector, and hybrid search with fast SQL execution, columnar analytics, durable storage, and a PostgreSQL-compatible frontend.

SereneDB is ai tools software teams evaluate for business intelligence. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Pricing not listed
One of 195 tools in Business Intelligence
Just launched
Data reviewed Sep 22, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Business Intelligence

What it does

AI Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

Business Intelligence

Pricing snapshot

Pricing available on request

Next step

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SereneDB is a real-time search analytics database that unifies search and analytics in a single system. It combines full-text, vector, and hybrid search with fast SQL execution and columnar analytics, offering durable storage and a PostgreSQL-compatible frontend. The platform is intended for workloads that require integrated search (including fuzzy, geospatial, vector, and hybrid queries) alongside analytical SQL capabilities.

Ultra-Fast Search & Analytics Database, Agentic AI ready Discussion | Link

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Key Features

Unified search and analytics

Combines full-text, fuzzy, geospatial, vector, and hybrid search over analytical data with columnar analytics.

Fast SQL execution

Optimized joins, unions, aggregations, and large-scale analytical queries powered by Velox.

Hybrid storage

Supports search indexes, columnar storage, remote tables, and RocksDB-backed durable updates.

PostgreSQL compatibility

Connect through the PostgreSQL protocol from familiar tools and clients.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Real-time search analytics

Run search (full-text, fuzzy, geospatial, vector, hybrid) directly over analytical datasets for real-time insights.

Embedding and vector search

Use vector search capabilities to support embedding-based retrieval and hybrid search workflows.

SQL-based analytics over search-indexed data

Execute optimized SQL queries, joins, and aggregations over data that also supports search indexes.

Integrating with existing PostgreSQL tools

Leverage PostgreSQL protocol compatibility to use familiar clients and tools against SereneDB.

Integrations

PostgreSQL protocol

Allows connections from existing PostgreSQL clients and tools.

Velox

Velox is used to power optimized SQL execution for joins, unions, and aggregations.

RocksDB

RocksDB is used for durable updates as part of SereneDB's hybrid storage architecture.

Benefits

Unifies search and analytical workloads in a single database, reducing data movement between systems.
Supports multiple search modalities (full-text, vector, geospatial, hybrid) alongside SQL analytics.
Provides PostgreSQL protocol compatibility so existing tools and clients can connect without rework.

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Step 1: Run the quick installer: curl https://install.serenedb.com | sh
  2. 2 Step 2: Or download builds from the Download page on the site
  3. 3 Step 3: Follow the getting started guide available on the site to configure and evaluate SereneDB

Support

docs

Documentation available via the Docs link on the site.

download

Download builds and installers from the Download page on the site.

github

Project presence and code/resources available via the GitHub link on the site.

API

Available: No

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