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DBMS > Microsoft Azure SQL Database vs. Newts vs. Riak TS vs. Splice Machine

System Properties Comparison Microsoft Azure SQL Database vs. Newts vs. Riak TS vs. Splice Machine

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Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNewts  Xexclude from comparisonRiak TS  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerTime Series DBMS based on CassandraRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databaseopennms.github.io/­newtssplicemachine.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlgithub.com/­OpenNMS/­newts/­wikiwww.tiot.jp/­riak-docs/­riak/­ts/­latestsplicemachine.com/­how-it-works
DeveloperMicrosoftOpenNMS GroupOpen Source, formerly Basho TechnologiesSplice Machine
Initial release2010201420152014
Current releaseV123.0.0, September 20223.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaErlangJava
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnono
Secondary indexesyesnorestrictedyes
SQL infoSupport of SQLyesnoyes, limitedyes
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP REST
Java API
HTTP API
Native Erlang Interface
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresTransact SQLnoErlangyes infoJava
Triggersyesnoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableselectable replication factor infobased on Cassandraselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
Microsoft Azure SQL Database infoformerly SQL AzureNewtsRiak TSSplice Machine
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