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DBMS > AlaSQL vs. Hypertable vs. Solr vs. Sphinx vs. Warp 10

System Properties Comparison AlaSQL vs. Hypertable vs. Solr vs. Sphinx vs. Warp 10

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonHypertable  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonWarp 10  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryAn open source BigTable implementation based on distributed file systems such as HadoopA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Relational DBMS
Wide column storeSearch engineSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitealasql.orgsolr.apache.orgsphinxsearch.comwww.warp10.io
Technical documentationgithub.com/­AlaSQL/­alasqlsolr.apache.org/­resources.htmlsphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperAndrey Gershun & Mathias R. WulffHypertable Inc.Apache Software FoundationSphinx Technologies Inc.SenX
Initial release20142009200620012015
Current release0.9.8.11, March 20169.6.0, April 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++JavaC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or datenonoyes infosupports customizable data types and automatic typingnoyes
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.noyesno
Secondary indexesnorestricted infoonly exact value or prefix value scansyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)no
APIs and other access methodsJavaScript APIC++ API
Thrift
Java API
RESTful HTTP/JSON API
Proprietary protocolHTTP API
Jupyter
WebSocket
Supported programming languagesJavaScriptC++
Java
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoJava pluginsnoyes infoWarpScript
Triggersyesnoyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelyesnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenooptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes 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.yesyesyes
User concepts infoAccess controlnonoyesnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
AlaSQLHypertableSolrSphinxWarp 10
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