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DBMS > Interbase vs. Microsoft Access vs. RocksDB vs. Splice Machine vs. TimesTen

System Properties Comparison Interbase vs. Microsoft Access vs. RocksDB vs. Splice Machine vs. TimesTen

Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionLight-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.)Embeddable persistent key-value store optimized for fast storage (flash and RAM)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.04
Rank#71  Overall
#39  Relational DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score4.00
Rank#84  Overall
#11  Key-value stores
Score0.54
Rank#255  Overall
#116  Relational DBMS
Score1.35
Rank#165  Overall
#75  Relational DBMS
Websitewww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accessrocksdb.orgsplicemachine.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accessgithub.com/­facebook/­rocksdb/­wikisplicemachine.com/­how-it-worksdocs.oracle.com/­database/­timesten-18.1
DeveloperEmbarcaderoMicrosoftFacebook, Inc.Splice MachineOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release19841992201320141998
Current releaseInterBase 2020, December 20191902 (16.0.11328.20222), March 20198.11.4, April 20243.1, March 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license availablecommercial
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 languageCC++C++Java
Server operating systemsAndroid
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinuxLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.no infoexport as XML data possiblenono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardnoyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
C++ API
Java API
JDBC
Native Spark Datasource
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-enginenoyes infoJavaPL/SQL
Triggersyesyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change ViewsnoneyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003noAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
InterbaseMicrosoft AccessRocksDBSplice MachineTimesTen
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