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DBMS > FoundationDB vs. H2 vs. Hazelcast vs. HugeGraph vs. Hyprcubd

System Properties Comparison FoundationDB vs. H2 vs. Hazelcast vs. HugeGraph vs. Hyprcubd

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonH2  Xexclude from comparisonHazelcast  Xexclude from comparisonHugeGraph  Xexclude from comparisonHyprcubd  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A widely adopted in-memory data gridA fast-speed and highly-scalable Graph DBMSServerless Time Series DBMS
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSKey-value storeGraph DBMSTime Series DBMS
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitegithub.com/­apple/­foundationdbwww.h2database.comhazelcast.comgithub.com/­hugegraph
hugegraph.apache.org
hyprcubd.com (offline)
Technical documentationapple.github.io/­foundationdbwww.h2database.com/­html/­main.htmlhazelcast.org/­imdg/­docshugegraph.apache.org/­docs
DeveloperFoundationDBThomas MuellerHazelcastBaiduHyprcubd, Inc.
Initial release2013200520082018
Current release6.2.28, November 20202.2.220, July 20235.3.6, November 20230.9
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaJavaGo
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAll OS with a Java VMLinux
macOS
Unix
hosted
Data schemeschema-free infosome layers support schemasyesschema-freeyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyesyes infotime, int, uint, float, string
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 indexesnoyesyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLsupported in specific SQL layer onlyyesSQL-like query languagenoSQL-like query language
APIs and other access methodsJDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
gRPC (https)
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Groovy
Java
Python
Server-side scripts infoStored proceduresin SQL-layer onlyJava Stored Procedures and User-Defined Functionsyes infoEvent Listeners, Executor Servicesasynchronous Gremlin script jobsno
Triggersnoyesyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoReplicated Mapyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesno
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.yesyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole-based access controlUsers, roles and permissionstoken access

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More resources
FoundationDBH2HazelcastHugeGraphHyprcubd
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