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DBMS > GridDB vs. QuestDB vs. TimescaleDB

System Properties Comparison GridDB vs. QuestDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonQuestDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataA high performance open source SQL database for time series dataA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.15
Rank#162  Overall
#10  Time Series DBMS
Score0.55
Rank#233  Overall
#15  Time Series DBMS
Score3.24
Rank#93  Overall
#5  Time Series DBMS
Websitegriddb.netquestdb.iowww.timescale.com
Technical documentationdocs.griddb.netquestdb.io/­docs/­introductiondocs.timescale.com
DeveloperToshiba CorporationQuestDB LimitedTimescale
Initial release201320142017
Current release4.5, June 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC
Server operating systemsLinuxLinux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary protocolHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)yes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationConfigurable consistency for N replicasSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped filesno
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBQuestDBTimescaleDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
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Relational model with native time series support Column based storage and time partitioned...
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Timescale is the creator of TimescaleDB , the first open-source relational database...
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Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Real-time data ingestion and istant SQL queries for time series High performance...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Application metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsGitHub trending repository
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With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Apache 2.0.
» more
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more
News

How databases handle 10 million devices in high-cardinality benchmarks
16 June 2021

How we achieved write speeds of 1.4 million rows per second
10 May 2021

QuestDB version 6.0 alpha
20 April 2021

QuestDB release January 2021
5 February 2021

Building a garbage-free network stack for Kafka streams
10 December 2020

Related products and services
3rd partiesClusterControl: the only management system you’ll ever need to take control of your open source database infrastructure.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GridDBQuestDBTimescaleDB
Recent citations in the news

Toshiba's Innovative GridDB NoSQL Database Affords Unlimited IoT Possibilities
24 April 2017, Business Wire

Trend-Setting Products in Data and Information Management for 2020
4 December 2019, Database Trends and Applications

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QuestDB has built a lightning fast time series database. Can it build a business to match?
16 February 2021, TechRepublic

QuestDB nabs $2.3M seed to build open source time series database
2 July 2020, TechCrunch

Q&A: Nicolas Hourcard, QuestDB: The advantages of a time-series database
3 December 2020, Developer Tech

Cloud-Based Time Series Database Market 2021 Basic Information, Manufacturing Base, Sales Area, Competitors and Forecast to 2027, Key Players- Alibaba,Amazon (AWS),AVEVA,Axibase – KSU | The Sentinel Newspaper
8 June 2021, KSU | The Sentinel Newspaper

Global Cloud-Based Time Series Database Market 2020-2025 Regional Analysis, Types, and Applications – Top Key Players as Alibaba, Dell (VMware), Amazon (AWS), Axibase – KSU | The Sentinel Newspaper
11 June 2021, KSU | The Sentinel Newspaper

provided by Google News

Timescale scales out and sets its sights on analytics
17 June 2021, ZDNet

Timescale Launches Industry's First Multi-Node Relational Database for Time-Series Data, Giving Organizations Unprecedented Scale
29 October 2020, Business Wire

Timescale grabs $40M Series B as it goes all in on cloud version of time series database
5 May 2021, TechCrunch

TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

It’s About Time For Time Series Databases
25 January 2018, The Next Platform

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