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DBMS > Microsoft Azure Synapse Analytics vs. Realm vs. Splice Machine

System Properties Comparison Microsoft Azure Synapse Analytics vs. Realm vs. Splice Machine

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.28
Rank#32  Overall
#19  Relational DBMS
Score8.60
Rank#54  Overall
#10  Document stores
Score0.93
Rank#238  Overall
#111  Relational DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticsrealm.iosplicemachine.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsrealm.io/­docsdoc.splicemachine.com
DeveloperMicrosoftRealm, acquired by MongoDB in May 2019Splice Machine
Initial release201620142014
Current release3.1, March 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Java
PHP
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresTransact SQLno inforuns within the applications so server-side scripts are unnecessaryyes infoJava
Triggersnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmyes
User concepts infoAccess controlyesyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRealmSplice Machine
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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRealmSplice Machine
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