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DBMS > AnzoGraph DB vs. Coveo vs. H2 vs. IBM Db2 Event Store vs. Kinetica

System Properties Comparison AnzoGraph DB vs. Coveo vs. H2 vs. IBM Db2 Event Store vs. Kinetica

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCoveo  Xexclude from comparisonH2  Xexclude from comparisonIBM Db2 Event Store  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 virtualizationAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Distributed Event Store optimized for Internet of Things use casesFully vectorized database across both GPUs and CPUs
Primary database modelGraph DBMS
RDF store
Search engineRelational DBMSEvent Store
Time Series DBMS
Relational DBMS
Secondary database modelsSpatial DBMSSpatial 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
Score2.11
Rank#118  Overall
#11  Search engines
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.coveo.comwww.h2database.comwww.ibm.com/­products/­db2-event-storewww.kinetica.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.coveo.comwww.h2database.com/­html/­main.htmlwww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.com
DeveloperCambridge SemanticsCoveoThomas MuellerIBMKinetica
Initial release20182012200520172012
Current release2.3, January 20212.2.220, July 20232.07.1, August 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C, C++
Server operating systemsLinuxhostedAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinux
Data schemeSchema-free and OWL/RDFS-schema supporthybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes
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.nonononono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyesyes infothrough the embedded Spark runtimeSQL-like DML and DDL statements
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIJDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
C#
Java
JavaScript
Python
JavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJava Stored Procedures and User-Defined Functionsyesuser defined functions
Triggersnoyesyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingyesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusteryesWith clustering: 2 database servers on different computers operate on identical copies of a databaseActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infonot needed in graphsyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)No - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
AnzoGraph DBCoveoH2IBM Db2 Event StoreKinetica
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