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DBMS > IBM Db2 Event Store vs. JanusGraph vs. Machbase Neo vs. Microsoft Access vs. Teradata Aster

System Properties Comparison IBM Db2 Event Store vs. JanusGraph vs. Machbase Neo vs. Microsoft Access vs. Teradata Aster

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionDistributed Event Store optimized for Internet of Things use casesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017TimeSeries DBMS for AIoT and BigDataMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Platform for big data analytics on multistructured data sources and types
Primary database modelEvent Store
Time Series DBMS
Graph DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storejanusgraph.orgmachbase.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.janusgraph.orgmachbase.com/­dbmsdeveloper.microsoft.com/­en-us/­access
DeveloperIBMLinux Foundation; originally developed as Titan by AureliusMachbaseMicrosoftTeradata
Initial release20172017201319922005
Current release2.00.6.3, February 2023V8.0, August 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoApache 2.0commercial infofree test version availablecommercial infoBundled with Microsoft Officecommercial
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 and C++JavaCC++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Unix
Windows
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeyesyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.nononoyes infoin Aster File Store
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoSQL-like query languageyes infobut not compliant to any SQL standardyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Clojure
Java
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesyesnoyes infosince Access 2010 using the ACE-engineR packages
Triggersnoyesnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyesselectable replication factornoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infobut no files for transaction loggingACID
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 storageyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastnoyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovolatile and lookup tableno
User concepts infoAccess controlfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serversimple password-based access controlno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
IBM Db2 Event StoreJanusGraph infosuccessor of TitanMachbase Neo infoFormer name was InfinifluxMicrosoft AccessTeradata Aster
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