QuestDB - Fast relational time-series database

  •        77

QuestDB is an open-source NewSQL relational database designed to process time-series data, faster. QuestDB ingests data via HTTP, PostgresSQL wire protocol, Influx line protocol or directly from Java. Reading data is done using SQL via HTTP, PostgreSQL wire protocol or via Java API. The whole database and console fits in a 3.5Mb package.

https://www.questdb.io/
https://github.com/questdb/questdb

Tags
Implementation
License
Platform

   




Related Projects

Timescaledb - An open-source time-series database optimized for fast ingest and complex queries

  •    PLpgSQL

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.

Gnocchi - Time series database

  •    Python

Gnocchi is an open-source |time series| database. The problem that Gnocchi solves is the storage and indexing of |time series| data and resources at a large scale. This is useful in modern cloud platforms which are not only huge but also are dynamic and potentially multi-tenant. Gnocchi takes all of that into account. Gnocchi has been designed to handle large amounts of aggregates being stored while being performant, scalable and fault-tolerant. While doing this, the goal was to be sure to not build any hard dependency on any complex storage system.

Akumuli - Time-series database

  •    C++

Akumuli 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".

SiriDB - Highly-scalable, robust and super fast time series database

  •    C

SiriDB 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.

awesome-time-series-database - :clock7: A curated list of awesome time series databases, benchmarks and papers

  •    Javascript

OpenTSDB 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.


InfluxDB - Distributed Time Series Database

  •    Go

InfluxDB is an open-source, distributed, time series database with no external dependencies. It's useful for recording metrics, events, and performing analytics. Everything in InfluxDB is a time series that you can perform standard functions on like min, max, sum, count, mean, median, percentiles, and more. Collect your data on any interval and compute rollups on the fly later.

Kairosdb - Fast distributed scalable time series database written on top of Cassandra

  •    Java

KairosDB is a fast distributed scalable time series database written on top of Cassandra. Data can be pushed in KairosDB via multiple protocols : Telnet, Rest, Graphite. KairosDB stores time series in Cassandra, the popular and performant NoSQL datastore. It supports aggregators which can perform an operation on data points and down samples. Standard functions like min, max, sum, count, mean etc.

Timely - Accumulo backed time series database

  •    Java

Timely is a time series database application that provides secure access to time series data. Timely is written in Java and designed to work with Apache Accumulo and Grafana.

atsd-use-cases - Axibase Time Series Database: Usage Examples and Research Articles

  •    Vue

Use Cases documentation demonstrates solutions to real-world data problems using Axibase Time Series Database (ATSD) and contains in-depth guides for programmatic integration with commonly-used enterprise software systems and services, as well as tutorials for data transformation and visualizations created with ATSD. Interactive visualizations tracking interesting datasets from a variety of sources.

Beringei - High performance, in-memory storage engine for time series data.

  •    C++

In the fall of 2015, we published the paper “Gorilla: A Fast, Scalable, In-Memory Time Series Database” at VLDB 2015. Beringei is the open source representation of the ideas presented in this paper. Beringei is a high performance time series storage engine. Time series are commonly used as a representation of statistics, gauges, and counters for monitoring performance and health of a system.

DalmatinerDB - Fast distributed metrics database in Erlang

  •    Erlang

DalmatinerDB is a metric database written in pure Erlang. It takes advantage of some special properties of metrics to make some tradeoffs. Its goal is to make a store for metric data (time, value of a metric) that is fast, has a low overhead, and is easy to query and manage. DalmatinerDB allows for metric input in second or even sub-second precision. It will interpolate the missing values to the best of it’s abilities. This is usually acceptable for aggregated data.

OpenTSDB - A scalable, distributed Time Series Database.

  •    Java

OpenTSDB 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.

Atlas - In-memory dimensional time series database

  •    Scala

Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly. Atlas captures operational intelligence. Whereas business intelligence is data gathered for analyzing trends over time, operational intelligence provides a picture of what is currently happening within a system.

ceres - Distributable time-series database (not actively maintained)

  •    Python

Ceres is not actively maintained.Ceres is a time-series database format intended to replace Whisper as the default storage format for Graphite. In contrast with Whisper, Ceres is not a fixed-size database and is designed to better support sparse data of arbitrary fixed-size resolutions. This allows Graphite to distribute individual time-series across multiple servers or mounts.

JavaScript SQL (JSSQL)

  •    Javascript

A database engine entirely in JavaScript (AJAX)

Prometheus - Service Monitoring System and Time Series Database

  •    Go

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

siridb-server - SiriDB is a highly-scalable, robust and super fast time series database

  •    C

SiriDB is a highly-scalable, robust and super fast time series database. For Ubuntu we have a deb package available which can be downloaded here.

YugaByte Database - Transactional, high-performance database for building internet-scale, globally-distributed applications

  •    C++

A cloud-native database for building mission-critical applications. This repository contains the Community Edition of the YugaByte Database.YugaByte offers both SQL and NoSQL in a single, unified db. It is meant to be a system-of-record/authoritative database that applications can rely on for correctness and availability. It allows applications to easily scale up and scale down in the cloud, on-premises or across hybrid environments without creating operational complexity or increasing the risk of outages.

Graphite - A highly scalable real-time graphing system

  •    Python

Graphite is an enterprise-scale monitoring tool that runs well on cheap hardware. It is a highly scalable real-time graphing system. It stores numeric time-series data and renders graphs of this data on demand.

TrailDB - Efficient tool for storing and querying series of events

  •    C

TrailDB is a library, implemented in C, which allows you to query series of events at blazing speed. TrailDB is also optimized for speed of development: Use its simple API with your favorite language, in your favorite environment. TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.