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DBMS > Microsoft Azure Table Storage vs. OceanBase vs. Splice Machine vs. Splunk

System Properties Comparison Microsoft Azure Table Storage vs. OceanBase vs. Splice Machine vs. Splunk

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonOceanBase  Xexclude from comparisonSplice Machine  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsA distributed, high available RDBMS compatible with Oracle and MySQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAnalytics Platform for Big Data
Primary database modelWide column storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.55
Rank#80  Overall
#6  Wide column stores
Score1.97
Rank#119  Overall
#58  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score93.02
Rank#13  Overall
#2  Search engines
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesen.oceanbase.comsplicemachine.comwww.splunk.com
Technical documentationen.oceanbase.com/­docs/­oceanbase-databasesplicemachine.com/­how-it-worksdocs.splunk.com/­Documentation/­Splunk
DeveloperMicrosoftOceanBase infopreviously Alibaba and Ant GroupSplice MachineSplunk Inc.
Initial release2012201020142003
Current release4.3.0, April 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoCommercial license availableOpen Source infoAGPL 3.0, commercial license availablecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
JDBC
Native Spark Datasource
ODBC
HTTP REST
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeyes infoJavayes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by hash, key, range, range columns, list, and list columns)Shared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication using PaxosMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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.noyesno
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
Microsoft Azure Table StorageOceanBaseSplice MachineSplunk
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