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DBMS > BigObject vs. Datomic vs. GridGain vs. HugeGraph vs. InterSystems IRIS

System Properties Comparison BigObject vs. Datomic vs. GridGain vs. HugeGraph vs. InterSystems IRIS

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatomic  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value store
Relational DBMS
Graph DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Websitebigobject.iowww.datomic.comwww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
www.intersystems.com/­products/­intersystems-iris
Technical documentationdocs.bigobject.iodocs.datomic.comwww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperBigObject, Inc.CognitectGridGain Systems, Inc.BaiduInterSystems
Initial release20152012200720182018
Current release1.0.6735, June 2023GridGain 8.5.10.92023.3, June 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infolimited edition freecommercialOpen Source infoApache Version 2.0commercial
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.
Implementation languageJava, ClojureJava, C++, .NetJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMLinux
OS X
Solaris
Windows
Linux
macOS
Unix
AIX
Linux
macOS
Ubuntu
Windows
Data schemeyesyesyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnoyes
Secondary indexesyesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuayes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsyes
TriggersnoBy using transaction functionsyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)via hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesyesyes
User concepts infoAccess controlnonoSecurity Hooks for custom implementationsUsers, roles and permissionsyes
More information provided by the system vendor
BigObjectDatomicGridGainHugeGraphInterSystems IRIS
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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