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DBMS > IBM Db2 Event Store vs. IBM Db2 warehouse vs. JanusGraph vs. SAP SQL Anywhere vs. StarRocks

System Properties Comparison IBM Db2 Event Store vs. IBM Db2 warehouse vs. JanusGraph vs. SAP SQL Anywhere vs. StarRocks

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesCloud-based data warehousing serviceA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelEvent Store
Time Series DBMS
Relational DBMSGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.ibm.com/­products/­db2/­warehousejanusgraph.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.starrocks.io
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.janusgraph.orghelp.sap.com/­docs/­SAP_SQL_Anywheredocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperIBMIBMLinux Foundation; originally developed as Titan by AureliusSAP infoformerly SybaseThe Linux Foundation infosince Feb 2023
Initial release20172014201719922020
Current release2.00.6.3, February 202317, July 20152.5.3, March 2023
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC++, Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionhostedLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nono infoImport/export of XML data possiblenoyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesnoyesyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
HTTP API
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Clojure
Java
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresyesPL/SQL, SQL PLyesyes, in C/C++, Java, .Net or Perluser defined functions
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)nonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyesyesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyesyes
Durability infoSupport for making data persistentYes - 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, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardRole based access control and fine grained access rights

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More resources
IBM Db2 Event StoreIBM Db2 warehouse infoformerly named IBM dashDBJanusGraph infosuccessor of TitanSAP SQL Anywhere infoformerly called Adaptive Server AnywhereStarRocks
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