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DBMS > IBM Db2 Event Store vs. Microsoft Access vs. SiriDB vs. Splice Machine

System Properties Comparison IBM Db2 Event Store vs. Microsoft Access vs. SiriDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSiriDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesMicrosoft 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.)Open Source Time Series DBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelEvent Store
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score0.11
Rank#346  Overall
#32  Time Series DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­microsoft-365/­accesssiridb.comsplicemachine.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedeveloper.microsoft.com/­en-us/­accessdocs.siridb.comsplicemachine.com/­how-it-works
DeveloperIBMMicrosoftCesbitSplice Machine
Initial release2017199220172014
Current release2.01902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoMIT LicenseOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++CJava
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLsLinuxLinux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayes
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standardnoyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infosince Access 2010 using the ACE-enginenoyes infoJava
Triggersnoyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003simple rights management via user accountsAccess rights for users, groups and roles according to SQL-standard

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More resources
IBM Db2 Event StoreMicrosoft AccessSiriDBSplice Machine
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