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DBMS > AlaSQL vs. EventStoreDB vs. Sphinx vs. Warp 10

System Properties Comparison AlaSQL vs. EventStoreDB vs. Sphinx vs. Warp 10

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonEventStoreDB  Xexclude from comparisonSphinx  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionJavaScript DBMS libraryIndustrial-strength, open-source database solution built from the ground up for event sourcing.Open 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
Event StoreSearch engineTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitealasql.orgwww.eventstore.comsphinxsearch.comwww.warp10.io
Technical documentationgithub.com/­AlaSQL/­alasqldevelopers.eventstore.comsphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperAndrey Gershun & Mathias R. WulffEvent Store LimitedSphinx Technologies Inc.SenX
Initial release2014201220012015
Current release21.2, February 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyes
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 indexesnoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query language (SphinxQL)no
APIs and other access methodsJavaScript APIProprietary protocolHTTP API
Jupyter
WebSocket
Supported programming languagesJavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoyes infoWarpScript
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes 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.yesyes
User concepts infoAccess controlnonoMandatory use of cryptographic tokens, containing fine-grained authorizations

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AlaSQLEventStoreDBSphinxWarp 10
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