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DBMS > Datastax Enterprise vs. GridDB vs. GridGain vs. InterSystems Caché vs. ObjectBox

System Properties Comparison Datastax Enterprise vs. GridDB vs. GridGain vs. InterSystems Caché vs. ObjectBox

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonGridDB  Xexclude from comparisonGridGain  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonObjectBox  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Scalable in-memory time series database optimized for IoT and Big DataGridGain is an in-memory computing platform, built on Apache IgniteA multi-model DBMS and application serverLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelWide column storeTime Series DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Object oriented DBMS
Vector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Key-value store
Relational DBMS
Document storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.82
Rank#65  Overall
#4  Wide column stores
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Websitewww.datastax.com/­products/­datastax-enterprisegriddb.netwww.gridgain.comwww.intersystems.com/­products/­cachegithub.com/­objectbox
objectbox.io
Technical documentationdocs.datastax.comdocs.griddb.netwww.gridgain.com/­docs/­index.htmldocs.intersystems.comdocs.objectbox.io
DeveloperDataStaxToshiba CorporationGridGain Systems, Inc.InterSystemsObjectBox Limited
Initial release20112013200719972017
Current release6.8, April 20205.1, August 2022GridGain 8.5.12018.1.4, May 20204.0 (May 2024)
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial, open sourcecommercialBindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaC++Java, C++, .Net, Python, REST, SQLC and C++
Server operating systemsLinux
OS X
LinuxLinux
OS X
Solaris
Windows
z/OS
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeschema-freeyesyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes, plus "flex" map-like 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.nonoyesyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL92, SQL-like TQL (Toshiba Query Language)ANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
RESTful HTTP API
Proprietary native API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)yesno
Triggersyesyesyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replicationyes (replicated cache)Source-replica replicationData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID at container levelACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesno
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users can be defined per databaseRole-based access control
Security Hooks for custom implementations
Access rights for users, groups and rolesyes
More information provided by the system vendor
Datastax EnterpriseGridDBGridGainInterSystems CachéObjectBox
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more
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