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DBMS > Microsoft Azure Table Storage vs. SAP SQL Anywhere vs. Sphinx vs. VictoriaMetrics

System Properties Comparison Microsoft Azure Table Storage vs. SAP SQL Anywhere vs. Sphinx vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSphinx  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen source search engine for searching in data from different sources, e.g. relational databasesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelWide column storeRelational DBMSSearch engineTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsphinxsearch.comvictoriametrics.com
Technical documentationhelp.sap.com/­docs/­SAP_SQL_Anywheresphinxsearch.com/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMicrosoftSAP infoformerly SybaseSphinx Technologies Inc.VictoriaMetrics
Initial release2012199220012018
Current release17, July 20153.5.1, February 2023v1.91, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
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++Go
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesno
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.noyesno
Secondary indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like query language (SphinxQL)no
APIs and other access methodsRESTful HTTP APIADO.NET
HTTP API
JDBC
ODBC
Proprietary protocolGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes, in C/C++, Java, .Net or Perlnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication infoDatabase mirroringnoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
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 signaturesfine grained access rights according to SQL-standardno

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More resources
Microsoft Azure Table StorageSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSphinxVictoriaMetrics
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