TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL, providing automatic partitioning across time and space (partitioning key), as well as full SQL support. TimescaleDB is packaged as a PostgreSQL extension and released under the Apache 2 open-source license.
TimescaleDB automatically scales and spreads data written to a hypertable into many dynamically-created chunks. Hypertables present the abstraction of a single table, yet transparently partitioned by time and space, they enable high insert rates even at billions of rows.
Tags | time-series-database postgresql time-series sql postgres tsdb iot financial-analysis analytics database postgresql-extension |
Implementation | PLpgSQL |
License | Apache |
Platform | Windows Linux MacOS |
QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports.
database time-series-database time-series sql relational-database analytics real-time-analytics analytics-database postgresql postgresTDengine is an open-source big data platform designed and optimized for Internet of Things (IoT), Connected Vehicles, and Industrial IoT. Besides the 10x faster time-series database, it provides caching, stream computing, message queuing and other functionalities to reduce the complexity and costs of development and operations.
iot database monitoring time-series bigdata full-stack connected-vehicles industrial-iot time-series-database analytics real-time-analytics column-store columnar-databasetstorage is a lightweight local on-disk storage engine for time-series data with a straightforward API. Especially ingestion is massively optimized as it provides goroutine safe capabilities of write into and read from TSDB that partitions data points by time. I'm working on a couple of tools that handle a tremendous amount of time-series data, such as Ali and Gosivy. Especially Ali, I had been facing a problem of increasing heap consumption over time as it's a load testing tool that aims to perform real-time analysis. I little poked around a fast TSDB library that offers simple APIs but eventually nothing works as well as I'd like, that's why I settled on writing this package myself.
database time-series metrics golang-library time-series-databasePolarDB for PostgreSQL (PolarDB for short) is an open-source database system based on PostgreSQL. It extends PostgreSQL to become a share-nothing distributed database, which supports global data consistency and ACID across database nodes, distributed SQL processing, and data redundancy and high availability through Paxos based replication.
database distributed-database rdbms postgresqlLinDB is an open-source Time Series Database which provides high performance, high availability and horizontal scalability. LinDB takes a lot of best practice of TSDB and implements some optimizations based on the characteristics of time series data. Unlike writing a lot of Continuous-Query for InfluxDB, LinDB supports rollup in specific interval automatically after creating the database. Moreover, LinDB is extremely fast for parallel querying and computing of distributed time series data.
time-series-database database monitoring metrics high-performance multi-active-idcs-native distributed-databaseMetabase is the easy, open source way for everyone in your company to ask questions and learn from data. Get a real-time glimpse into what your company is learning about your data. Activity helps people in your company find an answer, jump start their own exploration, or improve existing questions.
analytics business-intelligence dashboard reporting slack database postgres postgresql mysql bi visualization data data-analysis sql-editor data-visualization postgresql-client postgresql-gui postgresql-admin postgresql-managementCitus is a distributed database that scales across commodity servers using transparent sharding and replication. Citus extends the underlying database rather than forking it, giving developers and enterprises the power and familiarity of a relational database. As an extension, Citus supports new PostgreSQL releases, and allows you to benefit from new features while maintaining compatibility with existing PostgreSQL tools.
database citus multi-tenant postgresql scale sharding sql distributed-database postgresAkumuli is a time-series database for modern hardware. It can be used to capture, store and process time-series data in real-time. The word "akumuli" can be translated from Esperanto as "accumulate".
time-series database c-plus-plus tsdb time-series-database metrics column-oriented columnar-databaseMindsDB enables you to use ML predictions in your database using SQL. MindsDB automates and abstracts machine learning models through virtual AI Tables. It can easily make predictions over very complex multivariate time-series data with high cardinality.
machine-learning clickhouse postgresql ml snowflake mariadb pytorch artificial-intelligence machine-learning-api hacktoberfest automl explainable-ai explainable-ml singlestoreSiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without indexes and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy and super fast analysis over large amount's of time series.
time-series-database database time-series analyticsOpenTSDB is a Classical time series database on top of HBase. Now support Cassandra and Bigtable. BTrDB (Berkeley Tree Database) is a High performance time series database designed to support high density data storage applications.
awesome time-series database tsdb monitoring metrics awesome-list distributed-systemsThe Database Lab Engine is an open-source experimentation platform for PostgreSQL databases. Instantly create full-size clones of your production database and use them to test your database migrations, optimize SQL, or deploy full-size staging apps.
postgres sql database ci postgresql ci-cd database-migrations pgsql cicd database-schema database-schema-migration database-schema-evolutions database-migration database-cloning thin-cloningInfluxDB is an open source time series platform. This includes APIs for storing and querying data, processing it in the background for ETL or monitoring and alerting purposes, user dashboards, and visualizing and exploring the data and more. The master branch on this repo now represents the latest InfluxDB, which now includes functionality for Kapacitor (background processing) and Chronograf (the UI) all in a single binary. It is designed to handle high write and query loads and provides a SQL-like query language called InfluxQL for interacting with data.
database time-series metrics time-series-database analytics real-time-analytics monitoringHeroic is a scalable time series database based on Bigtable, Cassandra, and Elasticsearch. It is an open-source monitoring system originally built at Spotify to address the problems that were facing with large scale gathering and near real-time analysis of metrics.
time-series monitoring ha elasticsearch bigtable cassandra tsdbTgres is a tool for receiving and reporting on simple time series written in Go which uses PostgreSQL for storage. Tgres can receive data using Graphite Text, UDP and Pickle protocols, as well as Statsd (counters, gauges and timers). It supports enough of a Graphite HTTP API to be usable with Grafana. Tgres implements the majority of the Graphite functions.
time-series-database time-seriesSQLx is an async, pure Rust SQL crate featuring compile-time checked queries without a DSL. It is truly Asynchronous. Built from the ground-up using async/await for maximum concurrency. It has support for PostgreSQL, MySQL, SQLite, and MSSQL.
mysql postgres sql async sqlite postgresql mariadb mssql await orm sql-builder connection-poolOpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase. OpenTSDB was written to address a common need: store, index and serve metrics collected from computer systems (network gear, operating systems, applications) at a large scale, and make this data easily accessible and graphable.
monitoring graph scalable time-series time-series-database database hbasePostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL. PostGIS adds extra types (geometry, geography, raster and others) to the PostgreSQL database. It also adds functions, operators, and index enhancements that apply to these spatial types.
database geospatial-database spatial-database geospatial geospatial-analytics postgresql-extensionpg_timetable is an advanced job scheduler for PostgreSQL, offering many advantages over traditional schedulers such as cron and others. It is completely database driven and provides a couple of advanced concepts.
sql cron docker-image scheduling postgresql interval chains postgresPostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It has native programming interfaces for most of the programming language.
database postgres postgresql sql rdbms relational-database
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