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DBMS > Datomic vs. Geode vs. GridGain vs. Hazelcast

System Properties Comparison Datomic vs. Geode vs. GridGain vs. Hazelcast

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGeode  Xexclude from comparisonGridGain  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGridGain is an in-memory computing platform, built on Apache IgniteA widely adopted in-memory data grid
Primary database modelRelational DBMSKey-value storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Websitewww.datomic.comgeode.apache.orgwww.gridgain.comhazelcast.com
Technical documentationdocs.datomic.comgeode.apache.org/­docswww.gridgain.com/­docs/­index.htmlhazelcast.org/­imdg/­docs
DeveloperCognitectOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GridGain Systems, Inc.Hazelcast
Initial release2012200220072008
Current release1.0.7180, July 20241.1, February 2017GridGain 8.5.15.3.6, November 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial, open sourceOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaJava, C++, .Net, Python, REST, SQLJava
Server operating systemsAll OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
z/OS
All OS with a Java VM
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesyes infothe object must implement a serialization strategy
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query language (OQL)ANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methodsRESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesClojure
Java
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsyes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor Services
TriggersBy using transaction functionsyes infoCache Event Listenersyes (cache interceptors and events)yes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationyes (replicated cache)yes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes 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.yes inforecommended only for testing and developmentyesyesyes
User concepts infoAccess controlnoAccess rights per client and object definableRole-based access control
Security Hooks for custom implementations
Role-based access control

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More resources
DatomicGeodeGridGainHazelcast
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