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DBMS > Microsoft Azure Table Storage vs. NuoDB vs. Splice Machine

System Properties Comparison Microsoft Azure Table Storage vs. NuoDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonNuoDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsNuoDB is a webscale distributed database that supports SQL and ACID transactionsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.92
Rank#73  Overall
#6  Wide column stores
Score0.99
Rank#195  Overall
#92  Relational DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.3ds.com/­nuodb-distributed-sql-databasesplicemachine.com
Technical documentationdoc.nuodb.comsplicemachine.com/­how-it-works
DeveloperMicrosoftDassault Systèmes infooriginally NuoDB, Inc.Splice Machine
Initial release201220132014
Current release3.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen 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 systemshostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoJava, SQLyes infoJava
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicedata is dynamically stored/cached on the nodes where it is read/writtenShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoManaged transparently by NuoDBMulti-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 integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyes, 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.noyes infoTemporary tableyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesStandard SQL roles/ privileges, Administrative UsersAccess rights for users, groups and roles according to SQL-standard

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More resources
Microsoft Azure Table StorageNuoDBSplice Machine
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