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DBMS > AlaSQL vs. GigaSpaces vs. Percona Server for MongoDB vs. Sadas Engine vs. Sphinx

System Properties Comparison AlaSQL vs. GigaSpaces vs. Percona Server for MongoDB vs. Sadas Engine vs. Sphinx

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionJavaScript DBMS libraryHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Document storeRelational DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitealasql.orgwww.gigaspaces.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.sadasengine.comsphinxsearch.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.gigaspaces.com/­latest/­landing.htmldocs.percona.com/­percona-distribution-for-mongodbwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffGigaspaces TechnologiesPerconaSADAS s.r.l.Sphinx Technologies Inc.
Initial release20142000201520062001
Current release15.5, September 20203.4.10-2.10, November 20178.03.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL Version 2commercial infofree trial version availableOpen Source infoGPL version 2, commercial licence available
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 languageJavaScriptJava, C++, .NetC++C++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Solaris
Windows
LinuxAIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesno
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 infoXML can be used for describing objects metadatanono
Secondary indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-99 for query and DML statementsnoyesSQL-like query language (SphinxQL)
APIs and other access methodsJavaScript APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
proprietary protocol using JSONJDBC
ODBC
Proprietary protocol
Proprietary protocol
Supported programming languagesJavaScript.Net
C++
Java
Python
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesJavaScriptnono
Triggersyesyes, event driven architecturenonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes 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.yesyesyes infovia In-Memory Engineyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoRole-based access controlAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardno

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More resources
AlaSQLGigaSpacesPercona Server for MongoDBSadas EngineSphinx
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