TimescaleDB

TimescaleDB

TimescaleDB is an open-source time-series database optimized for fast ingest and complex queries. It is engineered up from PostgreSQL, enabling scalability and SQL queries.
Databases Time Series Databases
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timeseries postgresql sql timeseries opensource
TimescaleDB alternatives ➤

TimescaleDB: Open-Source Time-Series Database

An open-source time-series database optimized for fast ingest and complex queries, built on top of PostgreSQL for scalability and SQL query capabilities.

What is TimescaleDB?

TimescaleDB is an open-source, relational database optimized for time-series data. It is engineered up from PostgreSQL, providing automatic partitioning across time and space (partitioning key), yet retains the standard PostgreSQL interface.

TimescaleDB scales out complex queries by automatically partitioning data into discrete chunks, then executing queries in parallel across many chunks. This parallel processing provides performance improvements of orders of magnitude over vanilla PostgreSQL when analyzing time-series data.

Key features and capabilities:

  • Optimized for time-series data with fast inserts and complex queries
  • Native data compression leading to reduced storage
  • Parallelized queries and aggregations across time & space
  • High availability through streaming replication
  • Native PostgreSQL interface and full SQL support
  • OLTP and OLAP performance within a single database
  • Data retention policies to automatically roll up and expire old data

TimescaleDB is well-suited for IoT, DevOps, observability, and industrial data applications. It runs on Linux and is compatible with Postgres-compatible tools.

TimescaleDB Features

Features

  1. Designed for time-series data
  2. Scales to handle high volumes of time-series data
  3. SQL compliant and works with existing PostgreSQL tools
  4. Advanced compression algorithms
  5. Support for complex queries across large datasets
  6. Data partitioning for optimized query performance
  7. Native support for time-series analytics functions
  8. High availability with streaming replication and automated failover

Pricing

  • Open Source

Pros

Significantly improves performance for time-series workloads

Leverages the power and ecosystem of PostgreSQL

Open source and community supported

Flexible deployment options including on-prem or in the cloud

Cost effective compared to other time-series databases

Cons

Less flexible than a pure JSON document store

Not ideal for non time-series data

Advanced tuning required for optimal performance

Limited options for commercial support

Official Links

Official Website
https://www.timescale.com/

The Best TimescaleDB Alternatives

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InfluxDB

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OpenTSDB is an open source, distributed time series database written on top of HBase. It is specifically designed to store and serve massive amounts of time series data without losing granularity, making it well-suited for monitoring use cases that require high reliability and scalability.Some key features of OpenTSDB include:Scalability -...
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IRONdb

IRONdb is an open-source time series database optimized for storing and analyzing large volumes of time-stamped numerical data. It is designed to handle high data ingestion rates and fast queries across petabytes of data.Some key features of IRONdb include:Speed and scalability - Built on a NoSQL architecture, IRONdb can ingest...
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