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DBMS > FoundationDB vs. LokiJS vs. Manticore Search vs. Microsoft Azure Table Storage

System Properties Comparison FoundationDB vs. LokiJS vs. Manticore Search vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonLokiJS  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.In-memory JavaScript DBMSMulti-storage database for search, including full-text search.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeSearch engineWide column store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score0.44
Rank#256  Overall
#40  Document stores
Score0.23
Rank#301  Overall
#21  Search engines
Score3.55
Rank#80  Overall
#6  Wide column stores
Websitegithub.com/­apple/­foundationdbgithub.com/­techfort/­LokiJSmanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationapple.github.io/­foundationdbtechfort.github.io/­LokiJSmanual.manticoresearch.com
DeveloperFoundationDBManticore SoftwareMicrosoft
Initial release2013201420172012
Current release6.2.28, November 20206.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptC++
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
macOS
Windows
hosted
Data schemeschema-free infosome layers support schemasschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.noCan index from XMLno
Secondary indexesnoyes infovia viewsyes infofull-text index on all search fieldsno
SQL infoSupport of SQLsupported in specific SQL layer onlynoSQL-like query languageno
APIs and other access methodsJavaScript APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
JavaScriptElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlyView functions in JavaScriptuser defined functionsno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSynchronous replication based on Galera libraryyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencynoneImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possibleyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnononoAccess rights based on private key authentication or shared access signatures

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More resources
FoundationDBLokiJSManticore SearchMicrosoft Azure Table Storage
DB-Engines blog posts

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