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

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

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOpenTenBase  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesLight-weight proven RDBMS infooriginally from BorlandMicrosoft 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.)An enterprise-level distributed HTAP open source database based on PostgreSQLOpen-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 DBMSRelational 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
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
splicemachine.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accessdocs.opentenbase.org
docs.opentenbase.org/­en
splicemachine.com/­how-it-works
DeveloperIBMEmbarcaderoMicrosoftOpenAtom Foundation, previously TencentSplice Machine
Initial release2017198419922014
Current release2.0InterBase 2020, December 20191902 (16.0.11328.20222), March 20192.5, January 20243.1, March 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoBSD-3Open Source infoAGPL 3.0, commercial license available
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++CC++Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAndroid
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinuxLinux
OS X
Solaris
Windows
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 infoexport as XML data possible
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesyes infobut not compliant to any SQL standardyesyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
JDBC
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
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
Go
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engineyes infoJava
Triggersnoyesyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationInterbase Change ViewsnoneyesMulti-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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyes infoMultiversion concurreny controlyesyesyes, 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 storageyesyes 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-standardfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003Access rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
IBM Db2 Event StoreInterbaseMicrosoft AccessOpenTenBaseSplice Machine
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