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DBMS > Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage vs. OrigoDB vs. SAP Advantage Database Server vs. Splice Machine

System Properties Comparison Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage vs. OrigoDB vs. SAP Advantage Database Server vs. Splice Machine

Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOrigoDB  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonSplice Machine  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA Wide Column Store for rapid development using massive semi-structured datasetsA fully ACID in-memory object graph databaseLow-cost RDBMS with access to ISAM and FoxPro data structuresOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSWide column storeDocument store
Object oriented DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticsazure.microsoft.com/­en-us/­services/­storage/­tablesorigodb.comwww.sap.com/products/advantage-database-server.htmlsplicemachine.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsorigodb.com/­docssplicemachine.com/­how-it-works
DeveloperMicrosoftMicrosoftRobert Friberg et alSybase, SAPSplice Machine
Initial release201620122009 infounder the name LiveDB19932014
Current release3.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen SourcecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#Java
Server operating systemshostedhostedLinux
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyesyes
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 infocan be achieved using .NETno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnonoyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP API.NET Client API
HTTP API
LINQ
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Java
PHP
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetDelphi
Perl
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresTransact SQLnoyesyesyes infoJava
Triggersnonoyes infoDomain Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizednoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
Multi-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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnodepending on modelyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno infocaching of (temporary) tables can be configuredyes
User concepts infoAccess controlyesAccess rights based on private key authentication or shared access signaturesRole based authorizationfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMicrosoft Azure Table StorageOrigoDBSAP Advantage Database Server infoformer name: Sybase ADSSplice Machine
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