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DBMS > Alibaba Cloud Table Store vs. BigchainDB vs. Interbase vs. Microsoft Access vs. Splice Machine

System Properties Comparison Alibaba Cloud Table Store vs. BigchainDB vs. Interbase vs. Microsoft Access vs. Splice Machine

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonBigchainDB  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsLight-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.)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelWide column storeDocument storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.79
Rank#212  Overall
#36  Document stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.bigchaindb.comwww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accesssplicemachine.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorebigchaindb.readthedocs.io/­en/­latestdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accesssplicemachine.com/­how-it-works
DeveloperAlibabaEmbarcaderoMicrosoftSplice Machine
Initial release20162016198419922014
Current releaseInterBase 2020, December 20191902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialcommercial infoBundled with Microsoft OfficeOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonCC++Java
Server operating systemshostedLinuxAndroid
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonono infoexport as XML data possible
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyesyes infobut not compliant to any SQL standardyes
APIs and other access methodsHTTP APICLI Client
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
Python
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engineyes infoJava
Triggersnoyesyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnonenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factorInterbase Change ViewsnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes 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.noyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensyesfine 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-standard

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More resources
Alibaba Cloud Table StoreBigchainDBInterbaseMicrosoft AccessSplice Machine
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