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DBMS > Microsoft Access vs. Microsoft Azure Synapse Analytics vs. Splice Machine vs. TerarkDB vs. ToroDB

System Properties Comparison Microsoft Access vs. Microsoft Azure Synapse Analytics vs. Splice Machine vs. TerarkDB vs. ToroDB

Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerarkDB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMicrosoft 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.)Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­services/­synapse-analyticssplicemachine.comgithub.com/­bytedance/­terarkdbgithub.com/­torodb/­server
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­azure/­synapse-analyticssplicemachine.com/­how-it-worksbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperMicrosoftMicrosoftSplice MachineByteDance, originally Terark8Kdata
Initial release19922016201420162016
Current release1902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficecommercialOpen Source infoAGPL 3.0, commercial license availablecommercial inforestricted open source version availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaC++Java
Server operating systemsWindows infoNot a real database server, but making use of DLLshostedLinux
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes infostring, integer, double, boolean, date, object_id
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
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infobut not compliant to any SQL standardyesyesno
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
C++ API
Java API
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineTransact SQLyes infoJavano
Triggersyes infosince Access 2010 using the ACE-enginenoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003yesAccess rights for users, groups and roles according to SQL-standardnoAccess rights for users and roles

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More resources
Microsoft AccessMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSplice MachineTerarkDBToroDB
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