Distributed Database
Databases designed to run efficiently across multiple servers or locations, often providing high availability and fault tolerance.
Updated June 14, 2026
Products that define this theme
A representative set of Time Series Databases products that exemplify Distributed Database, curated as a starting point for finding similar software.
Selected from G2's verified user reviews and ratings, then matched to this theme for relevance.
How Did G2 Choose These Distributed Database Products?
The 4 products shown represent a defining sample for the "Distributed Database" theme within Time Series Databases on G2 — not an exhaustive list. They are a curated starting point for discovering similar software.
- Sourced from products with verified G2 user reviews and ratings.
- Matched to this theme based on each product's described capabilities and fit, ordered by relevance.
- Rankings and inclusion are unbiased and are not influenced by vendor payment.
Refreshed weekly. Last updated: June 14, 2026.
The real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and...
TDengine is a time-series database designed to help traditional industries overcome the challenges of Industry 4.0 and Industrial IoT. It enables real-time ingestion, storage, analysis, and...
QuestDB is an open-source, SQL-first time-series database built for the most demanding workloads—from trading floors to mission control. A multi-tier design keeps hot data in native partitions...
Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of...