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DBMS > Elasticsearch vs. EsgynDB vs. Google Search Appliance vs. STSdb

System Properties Comparison Elasticsearch vs. EsgynDB vs. Google Search Appliance vs. STSdb

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonSTSdb  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 TrafodionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelSearch engineRelational DBMSSearch engineKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score148.91
Rank#7  Overall
#1  Search engines
Score0.18
Rank#263  Overall
#123  Relational DBMS
Score2.62
Rank#95  Overall
#11  Search engines
Score0.08
Rank#296  Overall
#48  Key-value stores
Websitewww.elastic.co/­products/­elasticsearchesgyn.comenterprise.google.com/­search/­products/­gsa.htmlstssoft.com/­products/­stsdb-4-0
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlesgyn.com/­developerssupport.google.com/­gsa
DeveloperElasticEsgynGoogleSTS Soft SC
Initial release2010201520022011
Current release7.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicensecommercialcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
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++, JavaC#
Server operating systemsAll OS with a Java VMLinuxWindows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)
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 indexedyesno
SQL infoSupport of SQLSQL-like query languageyesnono
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Administrative API
Browser interface
HTTP API
.NET Client API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
Java
Server-side scripts infoStored proceduresyesJava Stored Proceduresno
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replication between multi datacentersMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesnono
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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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-standardUser authentication via various security protocolsno
More information provided by the system vendor
ElasticsearchEsgynDBGoogle Search ApplianceSTSdb
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
Typical application scenariosSearch, logging, security, metrics, maps and business analytics use cases.
» more
Key customers
» more
Market metricsMore than 400 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

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 partiesElastic 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
ElasticsearchEsgynDBGoogle Search ApplianceSTSdb
DB-Engines blog posts

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Recent citations in the news

A hacker has wiped, defaced more than 15,000 Elasticsearch servers
5 April 2020, ZDNet

Instaclustr Offering Fully Managed Open Source Elasticsearch on AWS
30 March 2020, GlobeNewswire

Elasticsearch database, unprotected and readily available, exposes 5 billion records
3 April 2020, TechGenix

Unprotected Elasticsearch Server Leaks 5 Billion Records
20 March 2020, CISO MAG

Misconfigured Elasticsearch Instance Exposes More ...
19 March 2020, Dark Reading

provided by Google News

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

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

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

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

provided by Google News

Why Google Search Console & Google Analytics Data Never Matches
2 April 2020, Search Engine Journal

Google: We Have No Mechanism To Block Indexing Parts Of Pages
12 March 2020, Search Engine Roundtable

So Long Google Search Appliance
4 February 2016, Fortune

Google Search Appliance Fades Away
9 February 2016, CMSWire

Google Search Appliance May Be Gone, But Category Lives On
27 May 2016, Fortune

provided by Google News

Job opportunities

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