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DBMS > Firebolt vs. Memcached vs. Sphinx vs. SQream DB

System Properties Comparison Firebolt vs. Memcached vs. Sphinx vs. SQream DB

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonMemcached  Xexclude from comparisonSphinx  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseIn-memory key-value store, originally intended for cachingOpen source search engine for searching in data from different sources, e.g. relational databasesa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSKey-value storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.49
Rank#148  Overall
#68  Relational DBMS
Score16.84
Rank#32  Overall
#4  Key-value stores
Score5.97
Rank#56  Overall
#5  Search engines
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websitewww.firebolt.iowww.memcached.orgsphinxsearch.comsqream.com
Technical documentationdocs.firebolt.iogithub.com/­memcached/­memcached/­wikisphinxsearch.com/­docsdocs.sqream.com
DeveloperFirebolt Analytics Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSphinx Technologies Inc.SQream Technologies
Initial release2020200320012017
Current release1.6.29, June 20243.5.1, February 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoGPL version 2, commercial licence availablecommercial
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 languageCC++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyes, ANSI Standard SQL Types
Secondary indexesyesnoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyesnoSQL-like query language (SphinxQL)yes
APIs and other access methods.Net
ODBC
RESTful HTTP API
Proprietary protocolProprietary protocol.Net
JDBC
ODBC
Supported programming languagesGo
JavaScript (Node.js)
Python
.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++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononouser defined functions in Python
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernone infoRepcached, a Memcached patch, provides this functionallitynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyes infoThe original contents of fields are not stored in the Sphinx index.yes
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolno

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More resources
FireboltMemcachedSphinxSQream DB
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