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DBMS > AnzoGraph DB vs. GBase vs. Ignite vs. JaguarDB vs. STSdb

System Properties Comparison AnzoGraph DB vs. GBase vs. Ignite vs. JaguarDB vs. STSdb

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGBase  Xexclude from comparisonIgnite  Xexclude from comparisonJaguarDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Performant, highly scalable DBMS for AI and IoT applicationsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Key-value store
Vector DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitecambridgesemantics.com/­anzographwww.gbase.cnignite.apache.orgwww.jaguardb.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmapacheignite.readme.io/­docswww.jaguardb.com/­support.html
DeveloperCambridge SemanticsGeneral Data Technology Co., Ltd.Apache Software FoundationDataJaguar, Inc.STS Soft SC
Initial release20182004201520152011
Current release2.3, January 2021GBase 8a, GBase 8s, GBase 8cApache Ignite 2.63.3 July 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache 2.0Open Source infoGPL V3.0Open Source infoGPLv2, commercial license available
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, Java, PythonC++, Java, .NetC++ infothe server part. Clients available in other languagesC#
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
LinuxWindows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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.noyesyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.Standard with numerous extensionsANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
.NET Client API
Supported programming languagesC++
Java
Python
C#C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyes (compute grid and cache interceptors can be used instead)nono
Triggersnoyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryesyes (replicated cache)Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesyesSecurity Hooks for custom implementationsrights management via user accountsno

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More resources
AnzoGraph DBGBaseIgniteJaguarDBSTSdb
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