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DBMS > AnzoGraph DB vs. EsgynDB vs. Geode vs. Interbase vs. Kinetica

System Properties Comparison AnzoGraph DB vs. EsgynDB vs. Geode vs. Interbase vs. Kinetica

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonInterbase  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesLight-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUs
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.esgyn.cngeode.apache.orgwww.embarcadero.com/­products/­interbasewww.kinetica.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgeode.apache.org/­docsdocs.embarcadero.com/­products/­interbasedocs.kinetica.com
DeveloperCambridge SemanticsEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.EmbarcaderoKinetica
Initial release20182015200219842012
Current release2.3, January 20211.1, February 2017InterBase 2020, December 20197.1, August 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial
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++, JavaJavaCC, C++
Server operating systemsLinuxLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredAndroid
iOS
Linux
OS X
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-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.nononono infoexport as XML data possibleno
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesSQL-like query language (OQL)yesSQL-like DML and DDL statements
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Proceduresuser defined functionsyes infoInterbase procedure and trigger languageuser defined functions
Triggersnonoyes infoCache Event Listenersyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication between multi datacentersMulti-source replicationInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
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.yesnoyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights per client and object definablefine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
AnzoGraph DBEsgynDBGeodeInterbaseKinetica
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