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

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

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonH2  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKinetica  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationFull-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 CPUsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelGraph DBMS
RDF store
Relational DBMSEvent Store
Time Series DBMS
Relational DBMSGraph 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
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.h2database.comwww.ibm.com/­products/­db2-event-storewww.kinetica.comgithub.com/­thinkaurelius/­titan
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.h2database.com/­html/­main.htmlwww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperCambridge SemanticsThomas MuellerIBMKineticaAurelius, owned by DataStax
Initial release20182005201720122012
Current release2.3, January 20212.2.220, July 20232.07.1, August 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree developer edition availablecommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C, C++Java
Server operating systemsLinuxAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinuxLinux
OS X
Unix
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesyes
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
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC++
Java
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
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Procedures and User-Defined Functionsyesuser defined functionsyes
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterWith clustering: 2 database servers on different computers operate on identical copies of a databaseActive-active shard replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)No - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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 rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table levelUser authentification and security via Rexster Graph Server

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More resources
AnzoGraph DBH2IBM Db2 Event StoreKineticaTitan
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