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DBMS > GridDB vs. Quasardb vs. Realm vs. TimescaleDB

System Properties Comparison GridDB vs. Quasardb vs. Realm vs. TimescaleDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRealm  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataDistributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSTime Series DBMSDocument storeTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.34
Rank#147  Overall
#10  Time Series DBMS
Score0.23
Rank#285  Overall
#23  Time Series DBMS
Score9.51
Rank#50  Overall
#8  Document stores
Score3.72
Rank#89  Overall
#5  Time Series DBMS
Websitegriddb.netquasardb.netrealm.iowww.timescale.com
Technical documentationdocs.griddb.netdoc.quasardb.netrealm.io/­docsdocs.timescale.com
DeveloperToshiba CorporationquasardbRealm, acquired by MongoDB in May 2019Timescale
Initial release2013200920142017
Current release4.6, February 20213.1, January 2019
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C
Server operating systemsLinuxBSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes infointeger and binaryyesnumerics, 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.nononoyes
Secondary indexesyesyes infowith tagsyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languagenoyes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary protocolHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessaryuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factornoneSource-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 jobswith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users can be defined per databaseCryptographically strong user authentication and audit trailyesfine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBQuasardbRealmTimescaleDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Realm ensures offline-first functionality, meaning apps run smoothly and deliver...
» 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
Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Mobile Consumer Apps First-Line Worker Apps
» 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
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsGitHub trending repository
» more
Has been running in very demanding production environments since 2013 Rapid adoption...
» more
Used by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more
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
Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more
Realm database is licensed under the Apache License v2.0.
» more
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more
Related products and services
3rd partiesClusterControl: the only management system you’ll ever need to take control of your open source database infrastructure.
» more

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More resources
GridDBQuasardbRealmTimescaleDB
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