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DBMS > Elasticsearch vs. EsgynDB vs. Microsoft Azure Search

System Properties Comparison Elasticsearch vs. EsgynDB vs. Microsoft Azure Search

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure Search  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 metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSearch-as-a-service for web and mobile app development
Primary database modelSearch engineRelational DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score150.17
Rank#7  Overall
#1  Search engines
Score0.16
Rank#265  Overall
#124  Relational DBMS
Score6.53
Rank#50  Overall
#6  Search engines
Websitewww.elastic.co/­products/­elasticsearchesgyn.comazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlesgyn.com/­developersdocs.microsoft.com/­en-us/­azure/­search
DeveloperElasticEsgynMicrosoft
Initial release201020152015
Current release7.3.0, August 2019V1
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
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 AWS and GCP that's powered by the creators of Elasticsearch.
Implementation languageJavaC++, Java
Server operating systemsAll OS with a Java VMLinuxhosted
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.nonono
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageyesno
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients
All languages supporting JDBC/ODBC/ADO.Net.Net
C#
Server-side scripts infoStored proceduresyesJava Stored Proceduresno
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replication between multi datacentersyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authentication
More information provided by the system vendor
ElasticsearchEsgynDBMicrosoft Azure Search
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Capabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
EsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Typical application scenarios
» more
Ideally suited to scenarios where high speed continuous data ingestion is required...
» more
Key customers
» more
EsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Market metricsMore than 250 million cumulative downloads More than 100,000 community members in...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
EsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

Elastic Cloud: Try the official hosted Elasticsearch.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchEsgynDBMicrosoft Azure Search
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Recent citations in the news

Review: Elasticsearch 7 soars with SQL, search optimizations
2 October 2019, InfoWorld

AWS faces Elasticsearch lawsuit for trademark infringement
1 October 2019, TechTarget

Elastic Releases Elastic Stack 7.4.0
1 October 2019, Yahoo Finance

Amazon Sued for Allegedly Infringing Elasticsearch Trademarks
30 September 2019, Bloomberg Law

Open Source Search Firm Accuses Amazon of Trademark Infringement | The Recorder
30 September 2019, Law.com

provided by Google News

Esgyn Strato: Esgyn announces a Hybrid / Multi Cloud Big Data Platform Service to run and optimize your business
30 November 2018, Markets Insider

Mphasis partners with Esgyn Corporation to provide specialized solutions to clients looking to harness big data
28 May 2019, Moneycontrol

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project
10 January 2018, GlobeNewswire

Mphasis partners with Esgyn Corporation to optimize Open-Source frameworks and expand industry footprint
24 May 2019, PRNewswire

provided by Google News

Knowledge Mining with Azure Search | AI Show - Microsoft
8 October 2019, Channel 9

Microsoft brings brand new apps powered by Azure AI to business users
23 September 2019, Neowin

Microsoft Unveils New AI-Driven Applications for Microsoft Dynamics 365
24 September 2019, Toolbox

Cognitive Search - Azure Search with AI | Azure Friday - Microsoft
6 September 2019, Channel 9

Knowledge mining using the knowledge store feature of Azure Search - Microsoft
17 September 2019, Channel 9

provided by Google News

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