> ## Content Index > Fetch the complete content index at: https://www.edgewisely.com/llms.txt > Use this file to discover other available public pages before exploring further. # TimescaleDB vs InfluxDB: 2026 Neutral Comparison - URL: https://www.edgewisely.com/timescaledb-vs-influxdb/ - Published: 2026-11-10T05:38:23.000Z - Updated: 2026-11-10T05:38:23.000Z - Description: TimescaleDB vs InfluxDB in 2026: a neutral, current comparison of architecture, SQL support, speed, licensing, and which time-series database to pick. - Author: John Karpentar - Tags: Engineering, Cloud **TL;DR** - **The short version:** the **timescaledb vs influxdb** choice is a relational database that does time-series (TimescaleDB, a Postgres extension) versus a purpose-built time-series engine (InfluxDB 3). - **TimescaleDB** is a PostgreSQL extension (latest **2.30.1**, Sep 2026): full SQL, relational joins, hypertables, columnar compression. Best if you already run Postgres or need mixed relational + time-series in one database. - **InfluxDB 3** is a purpose-built engine rebuilt in Rust on Apache Arrow/DataFusion/Parquet (Core + Enterprise GA **April 2025**). Best for high-volume, write-heavy, pure time-series ingest. - Both now speak **SQL**. InfluxDB 3 dropped Flux; TimescaleDB inherits the entire Postgres ecosystem. - Licensing differs: TimescaleDB's advanced features sit under the source-available **Tiger Data License**; InfluxDB 3 **Core** is open source (MIT/Apache 2), Enterprise is not. The maker of TimescaleDB rebranded from **Timescale to Tiger Data** in 2025. The **timescaledb vs influxdb** decision comes down to one question: do you want time-series bolted onto a full relational database, or a purpose-built engine for time-series alone? Choose **TimescaleDB** if you already run PostgreSQL, need SQL joins against relational data, or want one database for mixed workloads. Choose **InfluxDB 3** for high-volume, pure time-series ingest where a specialized columnar engine and object-storage economics matter most. ## What is the difference between TimescaleDB and InfluxDB? TimescaleDB is a **PostgreSQL extension**. InfluxDB is a **standalone time-series database**. That single architectural fork drives everything else. TimescaleDB turns regular Postgres tables into auto-partitioned **hypertables** and adds time-series features (columnar compression, continuous aggregates) on top. You get full ANSI SQL, joins, foreign keys, and every Postgres tool, driver, and extension. It runs anywhere Postgres runs. The current release is [TimescaleDB 2.30.1](https://github.com/timescale/timescaledb/releases?ref=edgewisely.com), dated September 2026. InfluxDB is built from the ground up for time-series. Version 3 is a [ground-up rewrite in Rust](https://www.influxdata.com/blog/influxdata-announces-influxdb-3-oss-ga/?ref=edgewisely.com) on the "FDAP" stack: Apache **Flight**, **DataFusion**, **Arrow**, and **Parquet**. Data lands via line protocol (tags, fields, measurements) and persists as Parquet files, typically on object storage. It is schema-on-write and tuned for one job. The practical split: TimescaleDB is a **relational database that does time-series well**; InfluxDB is a **time-series database that now also speaks SQL**. ## Is InfluxDB SQL or NoSQL? Both now. InfluxDB started NoSQL — its own query languages, **InfluxQL** (SQL-like) in v1 and **Flux** (a functional data-scripting language) in v2\. InfluxDB 3 changes that. It [supports native SQL](https://docs.influxdata.com/influxdb3/core/get-started/query/?ref=edgewisely.com) through Apache DataFusion, plus InfluxQL for backward compatibility. **Flux is not supported in v3.** If you built dashboards or tasks on Flux, that is a migration cost, not a version bump. Plan for it. TimescaleDB was never NoSQL. It is Postgres, so it is SQL end to end — the same SQL your BI tools, ORMs, and analysts already know. ## Is TimescaleDB faster than InfluxDB? It depends on workload shape, and anyone who tells you otherwise is usually selling one of them. Both vendors publish benchmarks that favor themselves. Tiger Data's own benchmarks claim large advantages on complex queries and compression; InfluxData reports strong numbers for high-cardinality ingest on its v3 engine. Neither is a neutral result. Treat vendor benchmarks as marketing, and test on **your** data. The honest generalizations: - **Pure, high-volume ingest of simple metrics** favors a purpose-built engine. InfluxDB 3's columnar, Parquet-backed design targets exactly this. - **Complex analytical queries, joins, and mixed workloads** favor TimescaleDB, because you have the full Postgres planner and SQL surface. - **High cardinality** (millions of unique series) historically hurt InfluxDB's older engines; v3's rearchitecture is aimed squarely at fixing that. Verify it against your cardinality before committing. ## TimescaleDB vs InfluxDB: a feature-by-feature comparison Here is the head-to-head across the dimensions that usually decide the choice. | Dimension | TimescaleDB | InfluxDB 3 | | ----------------------------- | --------------------------------- | ---------------------------------------------------------- | | **Architecture** | PostgreSQL extension (relational) | Purpose-built TSDB, Rust + Apache Arrow/DataFusion/Parquet | | **Latest / GA** | 2.30.1 (Sep 2026) | Core + Enterprise GA April 2025 | | **Query language** | Full ANSI SQL | SQL + InfluxQL (no Flux in v3) | | **Data model** | Relational tables / hypertables | Tags, fields, measurements (line protocol) | | **Joins & relational data** | Native, full SQL joins | Limited; built for time-series first | | **Ecosystem** | Entire Postgres ecosystem | InfluxDB / Telegraf ecosystem | | **Open-source core** | Apache 2 edition | InfluxDB 3 Core (MIT/Apache 2) | | **Advanced-features license** | Tiger Data License (TSL) | Enterprise (commercial) | | **Maker** | Tiger Data (formerly Timescale) | InfluxData | ## Is TimescaleDB open source? And what about InfluxDB's license? Partly, for both — and the details matter. TimescaleDB ships in two [editions](https://www.tigerdata.com/docs/get-started/choose-your-path/timescaledb-editions?ref=edgewisely.com): an **Apache 2.0 edition** and a **Community edition** under the **Tiger Data License (TSL)**, which is the default and the more feature-complete one. Basic hypertables and `time_bucket` are Apache 2.0\. The headline features — **columnar compression (Hypercore), continuous aggregates, data-retention policies, and job automation** — are **TSL-only**. TSL lets you run and modify the code in production but forbids offering it as a managed service. So "is TimescaleDB open source?" is: the core yes, the advanced features source-available but not OSI-open. For InfluxDB 3, only **Core is open source** under the permissive **MIT/Apache 2** license. **Enterprise** uses commercial licensing, and the Cloud products (Serverless, Dedicated, Clustered) are managed services. InfluxDB 3 Core also has operational limits versus Enterprise — check current caps before you build on it. ## The rebrand you need to know about Most pages ranking for this query predate a name change. In **June 2025**, the company behind TimescaleDB [rebranded from Timescale to Tiger Data](https://www.tigerdata.com/blog/timescale-becomes-tigerdata?ref=edgewisely.com). The cloud product is now **Tiger Cloud**. The open-source extension is **still called TimescaleDB**. The license was renamed the **Tiger Data License**. If you see "Timescale," "TimescaleDB," and "Tiger Data" used interchangeably, that is why — same company, same product, new corporate name. ## What this means for you **Pick TimescaleDB if you:** - Already run PostgreSQL and want to avoid adding a new database. - Need to **join** time-series against relational business data in one query. - Want standard SQL for your team, BI tools, and ORMs. - Have mixed workloads, not just metrics ingest. **Pick InfluxDB 3 if you:** - Are doing **high-volume, write-heavy, pure time-series** ingest (IoT, sensors, infra metrics). - Want a purpose-built engine with **object-storage (Parquet) economics** for cheap long-term retention. - Are starting fresh and value a specialized stack over a general-purpose one. - Can accept migrating off Flux if you used InfluxDB 2.x. **Still unsure?** Default to **TimescaleDB** if Postgres is already in your stack — the lower integration cost usually wins. Default to **InfluxDB 3** if time-series is your whole workload and ingest volume is the dominant constraint. Then benchmark the finalist on your real data before you commit. If you are weighing this as part of a wider data-store decision, it pairs with our takes on [ClickHouse vs DuckDB](https://www.edgewisely.com/clickhouse-vs-duckdb/) for analytics, [VictoriaMetrics vs Prometheus](https://www.edgewisely.com/victoriametrics-vs-prometheus/) for metrics storage, and the broader [top NoSQL databases](https://www.edgewisely.com/top-7-nosql-databases-2026/) roundup. ## Frequently Asked Questions ### What is the difference between TimescaleDB and InfluxDB? TimescaleDB is a PostgreSQL extension that adds time-series features to a full relational database, giving you ANSI SQL and joins. InfluxDB is a purpose-built time-series database with its own data model of tags, fields, and measurements. TimescaleDB suits mixed relational workloads; InfluxDB suits high-volume, dedicated time-series ingest. ### Is TimescaleDB faster than InfluxDB? It depends on the workload, and both vendors publish self-favoring benchmarks. TimescaleDB tends to win on complex analytical queries and joins; InfluxDB 3's columnar Rust engine targets fast, high-cardinality ingest. There is no universal winner — benchmark both on your own data and cardinality before deciding. ### Is InfluxDB SQL or NoSQL? Both, now. InfluxDB began as NoSQL with its own languages, InfluxQL and Flux. InfluxDB 3 adds native SQL via Apache DataFusion and keeps InfluxQL, but drops Flux. TimescaleDB, by contrast, has always been full SQL because it is a PostgreSQL extension. ### Is TimescaleDB open source? The Apache 2.0 edition is fully open source. The default Community edition is under the source-available Tiger Data License (TSL), which covers advanced features like compression and continuous aggregates. You can run and modify it in production but cannot resell it as a managed service. The core is open; the premium features are source-available. ### Should I use TimescaleDB or InfluxDB? Use TimescaleDB if you already run Postgres, need SQL joins, or have mixed workloads. Use InfluxDB 3 for high-volume, write-heavy, pure time-series ingest where a purpose-built engine and object-storage economics matter. When in doubt, pick the one that fits your existing stack, then benchmark on real data. **Editor's note — sources:** TimescaleDB release history (GitHub, timescale/timescaledb releases); InfluxData, "InfluxDB 3 Core and Enterprise now generally available"; InfluxDB 3 Core query-language documentation (docs.influxdata.com); Tiger Data, "Timescale is becoming Tiger Data"; Tiger Data documentation, "TimescaleDB editions." Facts verified against primary sources on 2026-11-10.