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DBMS > Microsoft Azure Table Storage vs. RocksDB vs. Splice Machine vs. STSdb

System Properties Comparison Microsoft Azure Table Storage vs. RocksDB vs. Splice Machine vs. STSdb

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelWide column storeKey-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.55
Rank#80  Overall
#6  Wide column stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesrocksdb.orgsplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationgithub.com/­facebook/­rocksdb/­wikisplicemachine.com/­how-it-works
DeveloperMicrosoftFacebook, Inc.Splice MachineSTS Soft SC
Initial release2012201320142011
Current release9.4.0, June 20243.1, March 20214.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, 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++JavaC#
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes infoprimitive types and user defined types (classes)
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 indexesnonoyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIC++ API
Java API
JDBC
Native Spark Datasource
ODBC
.NET Client API
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnonoyes infoJavano
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesMulti-source replication
Source-replica replication
none
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 Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyesyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesnoAccess rights for users, groups and roles according to SQL-standardno

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More resources
Microsoft Azure Table StorageRocksDBSplice MachineSTSdb
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