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DBMS > AnzoGraph DB vs. GridGain vs. Hypertable vs. Kinetica

System Properties Comparison AnzoGraph DB vs. GridGain vs. Hypertable vs. Kinetica

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGridGain  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationGridGain is an in-memory computing platform, built on Apache IgniteAn open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUs
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Wide column storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.gridgain.comwww.kinetica.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.gridgain.com/­docs/­index.htmldocs.kinetica.com
DeveloperCambridge SemanticsGridGain Systems, Inc.Hypertable Inc.Kinetica
Initial release2018200720092012
Current release2.3, January 2021GridGain 8.5.10.9.8.11, March 20167.1, August 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++C, C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.noyesno
Secondary indexesnoyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.ANSI-99 for query and DML statements, subset of DDLnoSQL-like DML and DDL statements
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
C++ API
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes (compute grid and cache interceptors can be used instead)nouser defined functions
Triggersnoyes (cache interceptors and events)noyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes (replicated cache)selectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesSecurity Hooks for custom implementationsnoAccess rights for users and roles on table level

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More resources
AnzoGraph DBGridGainHypertableKinetica
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