TimescaleDB Raises $40M

• timescale-analytics

  8 336 6.0 Rust

  Extension for more hyperfunctions, fully compatible with TimescaleDB and PostgreSQL 📈

  

Fair point about adaptive chunking. You sound like a long-term user!

There is always a trade-off between getting features to users quickly to experiment and incrementally improve, versus doing it always very conservatively.

When we launched adaptive chunking (introduced in 0.11, deprecated in 1.2), we explicitly marked it as beta and default off, to hopefully reflect that. [1]

The approach we are now taking with Timescale Analytics [2] is to have an explicit distinction between experimental features (which will be part of a distinct"experimental" schema in the database, and must be expressly turned on with appropriate warnings) and stable features. Hopefully this can help find a good balance between stability and velocity, but feedback welcome!

[1] https://github.com/timescale/timescaledb/releases/tag/0.11.0

[2] https://github.com/timescale/timescale-analytics/tree/main/e...

• Telegraf

  111 13,753 9.9 Go

  The plugin-driven server agent for collecting & reporting metrics.

  

I'm currently using InfluxDB (v1 not v2) and I've looked into switching over to Timescale DB.

Currently I'm stuck on figuring out how to get data into TimescaleDB. My company makes heavy use of Telegraf, which is a natural fit for InfluxDB, but not so much for TimescaleDB. The original pull request for the Telegraf plugin for Postgres/TimescaleDB was closed because the author was non-responsive: https://github.com/influxdata/telegraf/pull/3428

I can even write data to it using simple TCP or UDP tools like netcat or curl. And for some cases I have simple scripts that do exactly that. TimescaleDB, on the other hand, requires some sort of Postgres client.

What do you, or other people, use for writing data into TimescaleDB?

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• tsbs

  76 1,216 1.9 Go

  Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data

  

Hi @spmurrayzzz thanks for the feedback.

Always strive to do the best and fairest benchmarks we can, and for that reason, all our benchmarks are fully open-source for both repeatability and improvements/contributions:

https://github.com/timescale/tsbs

We also really did spend a lot of time investigating approaches with MongoDB, so you'll see our benchmarks actually evaluate two _different_ ways to use time-series data with MongoDB (culled & optimized from suggestions in MongoDB forums). But always welcome to feedback:

https://blog.timescale.com/blog/how-to-store-time-series-dat...

Thanks!

• promscale

  18 1,330 0.0 Go

  Discontinued [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.

  

(Timescale engineer here). We believe so and we have customers using us for just that. We haven't created our own product for that yet (as we have for metrics -- Promscale) but it is an idea we are playing with. You may want to look at our Promscale design doc[1] for ideas on table layout.

[1] https://tsdb.co/prom-design-doc

• TimescaleDB

  82 16,472 9.8 C

  An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

  

Fair point about adaptive chunking. You sound like a long-term user!

There is always a trade-off between getting features to users quickly to experiment and incrementally improve, versus doing it always very conservatively.

When we launched adaptive chunking (introduced in 0.11, deprecated in 1.2), we explicitly marked it as beta and default off, to hopefully reflect that. [1]

The approach we are now taking with Timescale Analytics [2] is to have an explicit distinction between experimental features (which will be part of a distinct"experimental" schema in the database, and must be expressly turned on with appropriate warnings) and stable features. Hopefully this can help find a good balance between stability and velocity, but feedback welcome!

[1] https://github.com/timescale/timescaledb/releases/tag/0.11.0

[2] https://github.com/timescale/timescale-analytics/tree/main/e...

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

Suggest a related project