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DBMS > Manticore Search vs. Memcached vs. Microsoft Azure Synapse Analytics vs. Sphinx

System Properties Comparison Manticore Search vs. Memcached vs. Microsoft Azure Synapse Analytics vs. Sphinx

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.In-memory key-value store, originally intended for cachingElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineKey-value storeRelational DBMSSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#312  Overall
#21  Search engines
Score19.42
Rank#32  Overall
#4  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitemanticoresearch.comwww.memcached.orgazure.microsoft.com/­services/­synapse-analyticssphinxsearch.com
Technical documentationmanual.manticoresearch.comgithub.com/­memcached/­memcached/­wikidocs.microsoft.com/­azure/­synapse-analyticssphinxsearch.com/­docs
DeveloperManticore SoftwareDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftSphinx Technologies Inc.
Initial release2017200320162001
Current release6.0, February 20231.6.25, March 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGPL version 2Open Source infoBSD licensecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++C++
Server operating systemsFreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Unix
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeFixed schemaschema-freeyesyes
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannoyesno
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.Can index from XMLno
Secondary indexesyes infofull-text index on all search fieldsnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query language (SphinxQL)
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Proprietary protocolADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
PHP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnoTransact SQLno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera librarynone infoRepcached, a Memcached patch, provides this functionallityyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.noyesyes infoThe original contents of fields are not stored in the Sphinx index.
User concepts infoAccess controlnoyes infousing SASL (Simple Authentication and Security Layer) protocolyesno

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More resources
Manticore SearchMemcachedMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSphinx
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