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DBMS > Datomic vs. Memcached vs. Sphinx vs. TDSQL for MySQL

System Properties Comparison Datomic vs. Memcached vs. Sphinx vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMemcached  Xexclude from comparisonSphinx  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityIn-memory key-value store, originally intended for cachingOpen source search engine for searching in data from different sources, e.g. relational databasesA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSKey-value storeSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitewww.datomic.comwww.memcached.orgsphinxsearch.comwww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.datomic.comgithub.com/­memcached/­memcached/­wikisphinxsearch.com/­docswww.tencentcloud.com/­document/­product/­1042
DeveloperCognitectDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSphinx Technologies Inc.Tencent
Initial release2012200320012013
Current release1.0.7075, December 20231.6.27, May 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSD licenseOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureCC++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyes
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 indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)yes
APIs and other access methodsRESTful HTTP APIProprietary protocolProprietary protocolJDBC
ODBC
Supported programming languagesClojure
Java
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonoyes
TriggersBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnone infoRepcached, a Memcached patch, provides this functionallitynoneMulti-source replication
Source-replica replication
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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)noyes 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.yes inforecommended only for testing and developmentno
User concepts infoAccess controlnoyes infousing SASL (Simple Authentication and Security Layer) protocolnoUsers with fine-grained authorization concept

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DatomicMemcachedSphinxTDSQL for MySQL
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