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DBMS > GridDB vs. Hazelcast vs. Hyprcubd vs. Ingres vs. SQL.JS

System Properties Comparison GridDB vs. Hazelcast vs. Hyprcubd vs. Ingres vs. SQL.JS

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonSQL.JS  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionScalable in-memory time series database optimized for IoT and Big DataA widely adopted in-memory data gridServerless Time Series DBMSWell established RDBMSPort of SQLite to JavaScript
Primary database modelTime Series DBMSKey-value storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitegriddb.nethazelcast.comhyprcubd.com (offline)www.actian.com/­databases/­ingressql.js.org
Technical documentationdocs.griddb.nethazelcast.org/­imdg/­docsdocs.actian.com/­ingressql.js.org/­documentation/­index.html
DeveloperToshiba CorporationHazelcastHyprcubd, Inc.Actian CorporationAlon Zakai infoenhancements implemented by others
Initial release201320081974 infooriginally developed at University Berkely in early 1970s2012
Current release5.1, August 20225.3.6, November 202311.2, May 2022
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 Version 2; commercial licenses availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGoCJavaScript
Server operating systemsLinuxAll OS with a Java VMhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyes infotime, int, uint, float, stringyesyes
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.noyes infothe object must implement a serialization strategynono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageSQL-like query languageyesyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JCache
JPA
Memcached protocol
RESTful HTTP API
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JavaScript API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScript
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesnoyesno
Triggersyesyes infoEventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated MapIngres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelone or two-phase-commit; repeatable reads; read commitednoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseRole-based access controltoken accessfine grained access rights according to SQL-standardno
More information provided by the system vendor
GridDBHazelcastHyprcubdIngresSQL.JS
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GridDBHazelcastHyprcubdIngresSQL.JS
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