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

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

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOrientDB  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.)Multi-model DBMS (Document, Graph, Key/Value)Open-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 DBMSDocument store
Graph DBMS
Key-value store
Relational 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
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
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/­accessorientdb.orgsplicemachine.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accesswww.orientdb.com/­docs/­last/­index.htmlsplicemachine.com/­how-it-works
DeveloperIBMEmbarcaderoMicrosoftOrientDB LTD; CallidusCloud; SAPSplice Machine
Initial release20171984199220102014
Current release2.0InterBase 2020, December 20191902 (16.0.11328.20222), March 20193.2.29, March 20243.1, March 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache version 2Open 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++JavaJava
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 DLLsAll OS with a Java JDK (>= JDK 6)Linux
OS X
Solaris
Windows
Data schemeyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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 possibleno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesyes infobut not compliant to any SQL standardSQL-like query language, no joinsyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
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
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
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-engineJava, Javascriptyes infoJava
Triggersnoyesyes infosince Access 2010 using the ACE-engineHooksyes
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 ViewsnoneMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocould be achieved with distributed queriesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes inforelationship in graphsyes
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 and roles; record level security configurableAccess rights for users, groups and roles according to SQL-standard

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More resources
IBM Db2 Event StoreInterbaseMicrosoft AccessOrientDBSplice Machine
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