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DBMS > DataFS vs. EJDB vs. Elasticsearch vs. Fauna vs. Microsoft Azure Synapse Analytics

System Properties Comparison DataFS vs. EJDB vs. Elasticsearch vs. Fauna vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonEJDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Embeddable document-store database library with JSON representation of queries (in MongoDB style)A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelObject oriented DBMSDocument storeSearch engineDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score132.83
Rank#7  Overall
#1  Search engines
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitenewdatabase.comgithub.com/­Softmotions/­ejdbwww.elastic.co/­elasticsearchfauna.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdev.mobiland.com/­Overview.xspgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.fauna.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperMobiland AGSoftmotionsElasticFauna, Inc.Microsoft
Initial release20182012201020142016
Current release1.1.263, October 20228.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoElastic Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaScalaC++
Server operating systemsWindowsserver-lessAll OS with a Java VMhostedhosted
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesnoyes
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.nononono
Secondary indexesnonoyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnonoSQL-like query languagenoyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
in-process shared libraryJava API
RESTful HTTP/JSON API
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
Java
PHP
Server-side scripts infoStored proceduresnoyesuser defined functionsTransact SQL
Triggersno, except callback-events from server when changes happenednoyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnoneShardinghorizontal partitioning infoconsistent hashingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationno
User concepts infoAccess controlWindows-ProfilenoIdentity management, authentication, and access controlyes

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More resources
DataFSEJDBElasticsearchFauna infopreviously named FaunaDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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