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DBMS > Datomic vs. Hazelcast vs. HugeGraph vs. Realm

System Properties Comparison Datomic vs. Hazelcast vs. HugeGraph vs. Realm

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHazelcast  Xexclude from comparisonHugeGraph  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA widely adopted in-memory data gridA fast-speed and highly-scalable Graph DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSKey-value storeGraph DBMSDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitewww.datomic.comhazelcast.comgithub.com/­hugegraph
hugegraph.apache.org
realm.io
Technical documentationdocs.datomic.comhazelcast.org/­imdg/­docshugegraph.apache.org/­docsrealm.io/­docs
DeveloperCognitectHazelcastBaiduRealm, acquired by MongoDB in May 2019
Initial release2012200820182014
Current release1.0.7075, December 20235.3.6, November 20230.9
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaJava
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
macOS
Unix
Android
Backend: server-less
iOS
Windows
Data schemeyesschema-freeyesyes
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.noyes infothe object must implement a serialization strategynono
Secondary indexesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsRESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesClojure
Java
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Groovy
Java
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoEvent Listeners, Executor Servicesasynchronous Gremlin script jobsno inforuns within the applications so server-side scripts are unnecessary
TriggersBy using transaction functionsyes infoEventsnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infoReplicated Mapyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 infoIn-Memory realm
User concepts infoAccess controlnoRole-based access controlUsers, roles and permissionsyes

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DatomicHazelcastHugeGraphRealm
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