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DBMS > Elasticsearch vs. Google Search Appliance vs. IBM Db2

System Properties Comparison Elasticsearch vs. Google Search Appliance vs. IBM Db2

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  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 metricThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Common in IBM host environments, 2 different versions for host and Windows/Linux
Primary database modelSearch engineSearch engineRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDB
Secondary database modelsDocument storeDocument store
RDF store infoin DB2 LUW (Linux, Unix, Windows)
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score148.40
Rank#7  Overall
#1  Search engines
Score2.77
Rank#94  Overall
#10  Search engines
Score172.60
Rank#6  Overall
#5  Relational DBMS
Websitewww.elastic.co/­products/­elasticsearchenterprise.google.com/­search/­products/­gsa.htmlwww.ibm.com/­analytics/­db2
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlsupport.google.com/­gsawww.ibm.com/­support/­knowledgecenter/­SSEPGG
DeveloperElasticGoogleIBM
Initial release201020021983 infohost version
Current release7.3.0, August 201912.1, October 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic Licensecommercialcommercial infofree 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 AWS and GCP that's powered by the creators of Elasticsearch.
Implementation languageJavaC and C++
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
z/OS
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyes
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.nono
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
Administrative API
Browser interface
HTTP API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesyes
Triggersyes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replicationyes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
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, all
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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 integrationno
User concepts infoAccess controlUser authentication via various security protocolsfine grained access rights according to SQL-standard
More information provided by the system vendor
ElasticsearchGoogle Search ApplianceIBM Db2 infoformerly named DB2 or IBM Database 2
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 scenarios
» more
Key customers
» 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

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
General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

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

More resources
ElasticsearchGoogle Search ApplianceIBM Db2 infoformerly named DB2 or IBM Database 2
DB-Engines blog posts

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2 January 2018, Paul Andlinger, Matthias Gelbmann

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3 July 2017, Matthias Gelbmann

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2 March 2016, Paul Andlinger

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Recent citations in the news

Exposed: Amazon Elasticsearch exposure
15 November 2019, Naked Security

Flippin' ECK, ours is the 'official' Elasticsearch experience for Kubernetes – Elastic
24 October 2019, The Register

Elasticsearch Service Now Available on Google Cloud Marketplace
22 October 2019, Business Wire

How to get started with Kibana
13 November 2019, InfoWorld

Adobe confirms security vulnerability in one of their Elasticsearch servers that exposed 7.5 million Creative Cloud accounts
31 October 2019, Packt Hub

provided by Google News

the only magazine, website and conference dedicated to news, trends and case studies in knowledge management, content management and document management.
9 November 2019, KMWorld Magazine

Cognitive Data Management Market to Witness Huge Growth by 2025| Wipro, Datum, Reltio, Talend, HPE, Oracle, Saksoft, Snaplogic, Strongbox Data Solutions
13 November 2019, Eastlake Times

So Long Google Search Appliance
4 February 2016, Fortune

Elastic Is Looking a Lot Like Google 10 Years Ago
10 June 2019, Motley Fool

What is a Google Search Appliance?
8 January 2014, TechRepublic

provided by Google News

Db2 Web Query Lives On (Just Not V2.1)
13 November 2019, IT Jungle

IBM i TRs Bring Database Enhancements, Too
30 October 2019, IT Jungle

IBM Announces Developer Tools for Mainframe Testing
25 October 2019, Database Trends and Applications

Db2 Analytics - Statistical Functions
31 October 2019, Toolbox

DBmaestro Brings Database Release Automation to MySQL, MariaDB, and Amazon RDS
30 October 2019, Database Trends and Applications

provided by Google News

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