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DBMS > EsgynDB vs. Lovefield vs. Memcached vs. Rockset vs. Sphinx

System Properties Comparison EsgynDB vs. Lovefield vs. Memcached vs. Rockset vs. Sphinx

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonLovefield  Xexclude from comparisonMemcached  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEmbeddable relational database for web apps written in pure JavaScriptIn-memory key-value store, originally intended for cachingA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument storeSearch engine
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.82
Rank#212  Overall
#36  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.esgyn.cngoogle.github.io/­lovefieldwww.memcached.orgrockset.comsphinxsearch.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdgithub.com/­memcached/­memcached/­wikidocs.rockset.comsphinxsearch.com/­docs
DeveloperEsgynGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRocksetSphinx Technologies Inc.
Initial release20152014200320192001
Current release2.1.12, February 20171.6.27, May 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSD licensecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaScriptCC++C++
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Unix
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnodynamic typingno
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.nonono infoingestion from XML files supported
Secondary indexesyesyesnoall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternnoRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocolHTTP RESTProprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJavaScript.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresJava Stored Proceduresnononono
TriggersnoUsing read-only observersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnonenone infoRepcached, a Memcached patch, provides this functionallityyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databasenoyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
EsgynDBLovefieldMemcachedRocksetSphinx
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