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DBMS > Microsoft Azure Table Storage vs. MySQL vs. Sphinx vs. SurrealDB

System Properties Comparison Microsoft Azure Table Storage vs. MySQL vs. Sphinx vs. SurrealDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonMySQL  Xexclude from comparisonSphinx  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsWidely used open source RDBMSOpen source search engine for searching in data from different sources, e.g. relational databasesA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelWide column storeRelational DBMS infoKey/Value like access via memcached APISearch engineDocument store
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.55
Rank#80  Overall
#6  Wide column stores
Score1029.49
Rank#2  Overall
#2  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.mysql.comsphinxsearch.comsurrealdb.com
Technical documentationdev.mysql.com/­docsphinxsearch.com/­docssurrealdb.com/­docs
DeveloperMicrosoftOracle infosince 2010, originally MySQL AB, then SunSphinx Technologies Inc.SurrealDB Ltd
Initial release2012199520012022
Current release9.0.0, July 20243.5.1, February 2023v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL version 2, commercial licence availableOpen Source
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 and C++C++Rust
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free
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.noyes
Secondary indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Proprietary protocolGraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding 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.Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACID infonot for MyISAM storage enginenoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
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.noyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept infono user groups or rolesnoyes, based on authentication and database rules

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More resources
Microsoft Azure Table StorageMySQLSphinxSurrealDB
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