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DBMS > Elasticsearch vs. Graph Engine vs. Microsoft SQL Server

System Properties Comparison Elasticsearch vs. Graph Engine vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionA 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 metricA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineMicrosofts relational DBMS
Primary database modelSearch engineGraph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score152.32
Rank#8  Overall
#1  Search engines
Score0.61
Rank#207  Overall
#17  Graph DBMS
#35  Key-value stores
Score1075.87
Rank#3  Overall
#3  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.graphengine.iowww.microsoft.com/­en-us/­sql-server
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentation
DeveloperElasticMicrosoftMicrosoft
Initial release201020101989
Current release7.8.0, June 2020SQL Server 2019, November 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoMIT Licensecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on Amazon Web Services, Google Cloud and Microsoft Azure that's powered by the creators of Elasticsearch.
Implementation languageJava.NET and CC++
Server operating systemsAll OS with a Java VM.NETLinux
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languagenoyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standard
More information provided by the system vendor
ElasticsearchGraph Engine infoformer name: TrinityMicrosoft SQL Server
Specific characteristicsElasticsearch is an open source search and analytics engine. As the heart of the...
» more
Competitive advantagesOpen source Real-time indexsearch, and analysis Horizontally scalable Distributed...
» more
Typical application scenariosEnterprise search (search experiences for your workplace, apps, and websites), observability...
» more
Key customersThousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
» more
Market metricsPublic as of October 2018 Distributed workforce with 1900+ employees around the globe​...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ElasticsearchGraph Engine infoformer name: TrinityMicrosoft SQL Server
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