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DBMS > Sphinx vs. Sqrrl vs. Warp 10 vs. Yaacomo

System Properties Comparison Sphinx vs. Sqrrl vs. Warp 10 vs. Yaacomo

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonSqrrl  Xexclude from comparisonWarp 10  Xexclude from comparisonYaacomo  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesAdaptable, secure NoSQL built on Apache AccumuloTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.95
Rank#55  Overall
#5  Search engines
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitesphinxsearch.comsqrrl.comwww.warp10.ioyaacomo.com
Technical documentationsphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperSphinx Technologies Inc.Amazon infooriginally Sqrrl Data, Inc.SenXQ2WEB GmbH
Initial release2001201220152009
Current release3.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Android
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesyes infofull-text index on all search fieldsyesnoyes
SQL infoSupport of SQLSQL-like query language (SphinxQL)nonoyes
APIs and other access methodsProprietary protocolAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
HTTP API
Jupyter
WebSocket
JDBC
ODBC
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonoyes infoWarpScript
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infomaking use of HadoopSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infomaking use of Hadoopselectable replication factor infobased on HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic updates per row, document, or graph entitynoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Sphinx index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Mandatory use of cryptographic tokens, containing fine-grained authorizationsfine grained access rights according to SQL-standard

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More resources
SphinxSqrrlWarp 10Yaacomo
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