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DBMS > AgensGraph vs. Graph Engine vs. HugeGraph vs. Ignite vs. SQream DB

System Properties Comparison AgensGraph vs. Graph Engine vs. HugeGraph vs. Ignite vs. SQream DB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHugeGraph  Xexclude from comparisonIgnite  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA fast-speed and highly-scalable Graph DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMS
Relational DBMS
Graph DBMS
Key-value store
Graph DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitebitnine.net/­agensgraphwww.graphengine.iogithub.com/­hugegraph
hugegraph.apache.org
ignite.apache.orgsqream.com
Technical documentationbitnine.net/­documentationwww.graphengine.io/­docs/­manualhugegraph.apache.org/­docsapacheignite.readme.io/­docsdocs.sqream.com
DeveloperBitnine Global Inc.MicrosoftBaiduApache Software FoundationSQream Technologies
Initial release20162010201820152017
Current release2.1, December 20180.9Apache Ignite 2.62022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoApache 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 languageC.NET and CJavaC++, Java, .NetC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows
.NETLinux
macOS
Unix
Linux
OS X
Solaris
Windows
Linux
Data schemedepending on used data modelyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes, ANSI Standard SQL 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.nononoyes
Secondary indexesyesyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLyesnonoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.Net
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C#
C++
F#
Visual Basic
Groovy
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesasynchronous Gremlin script jobsyes (compute grid and cache interceptors can be used instead)user defined functions in Python
Triggersnononoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBaseShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsSecurity Hooks for custom implementations

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More resources
AgensGraphGraph Engine infoformer name: TrinityHugeGraphIgniteSQream DB
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