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TimescaleDB Alternatives
Similar projects and alternatives to TimescaleDB
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PostgreSQL
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
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neon
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
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PostHog
🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.
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Milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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cockroach
CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement.
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tsbs
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
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promscale
Discontinued [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
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pgai
Discontinued A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL
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pgvectorscale
Postgres extension for vector search (DiskANN), complements pgvector for performance and scale. Postgres OSS licensed.
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TimescaleDB discussion
TimescaleDB reviews and mentions
- TimescaleDB compresses time-series data
- GeoJSON
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Why I'm Learning ROS 2 as a Database Person
I work at Tiger Data doing developer relations for TimescaleDB. Time-series data is literally my job. When I started looking at how ROS 2 handles recorded telemetry at scale, I saw something familiar: high-frequency sequential writes, stable append rates, a recording format optimized for replay rather than analysis, no real query story for "compare behavior across 200 runs without loading everything into memory."
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TimescaleDB VS arc - a user suggested alternative
2 projects | 26 Apr 2026
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arc alternatives - InfluxDB, QuestDB, TimescaleDB, and ClickHouse
5 projects | 26 Apr 2026
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I Built Convodb So You Can Talk to Your Database (And It Talks Back With 4 AI Agents)
TimescaleDB - The foundation
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PostgreSQL Maximalism
timescaledb A solution by Timescale. Provides a lot more functions to handle time series than pg_timeseries. Low latency makes it adequate for real-time analytics. Supports incremental views through continuous aggregates. Has some overlap with pg_mooncake, but can't write to Iceberg or Delta Lake, using them directly as the storage layer. Supports tiered storage
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Migrating to Postgres
Even for timeseries there is https://github.com/timescale/timescaledb. Haven't used it, just knew it existed.
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Why You Shouldn’t Invest In Vector Databases?
In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB), stream processing (e.g., RisingWave), time series analysis (e.g., Timescale), spatial analysis (e.g., PostGIS), and more. For non-professional users seeking to explore vector databases, they can readily download the open-source PostgreSQL or utilize managed services like Supabase and Neon to establish their own basic AI applications. Other than PostgreSQL, several open-source databases, including OpenSearch, ClickHouse, and Cassandra, have implemented their own vector search functionality. You do not need to adopt a new vector database if you have already used these systems.
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PostgreSQL vs MySQL vs Redis: Choose Your Fighter
Extensions for Days: PostGIS for geospatial wizardry, TimescaleDB for time-series data, pg_trgm for fuzzy search. It’s like Skyrim modded do whatever you want.
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A note from our sponsor - SaaSHub
www.saashub.com | 12 Jul 2026
Stats
timescale/timescaledb is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of TimescaleDB is C.