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DBMS > Elasticsearch vs. Google Search Appliance vs. Ignite

System Properties Comparison Elasticsearch vs. Google Search Appliance vs. Ignite

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonIgnite  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelSearch engineSearch engineKey-value store
Relational DBMS
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
Score2.86
Rank#86  Overall
#9  Search engines
Score4.45
Rank#68  Overall
#11  Key-value stores
#37  Relational DBMS
Websitewww.elastic.co/­products/­elasticsearchenterprise.google.com/­search/­products/­gsa.htmlignite.apache.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlsupport.google.com/­gsaapacheignite.readme.io/­docs
DeveloperElasticGoogleApache Software Foundation
Initial release201020022015
Current release7.3.0, August 2019Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicensecommercialOpen Source infoApache 2.0
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++, Java, .Net
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
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.nonoyes
Secondary indexesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languagenoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJava API
RESTful HTTP/JSON API
Administrative API
Browser interface
HTTP API
HDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languages.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)
Triggersyes infoby using the 'percolation' featureyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replicationyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes (compute grid and hadoop accelerator)
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 integritynonono
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 integrationnoyes
User concepts infoAccess controlUser authentication via various security protocolsSecurity Hooks for custom implementations
More information provided by the system vendor
ElasticsearchGoogle Search ApplianceIgnite
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

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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
ElasticsearchGoogle Search ApplianceIgnite
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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

Cognitive Data Management Market is Booming (30.1% CAGR)| Datum, Reltio, Talend, HPE, Oracle, Saksoft, Snaplogic, Strongbox Data Solutions, Immuta
19 October 2019, Online News Guru

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

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

provided by Google News

GridGain Unveils Full Breakout Session Schedule for Fifth Annual In-Memory Computing Summit North America
26 September 2019, Yahoo Finance

High Performance Storage Enables Digital Transformation
27 September 2019, Forbes

GridGain Expands Support for Apache Ignite
8 February 2019, Datanami

The ApacheĀ® Software Foundation Announces Program Highlights for ApacheConā„¢ Europe
24 September 2019, GlobeNewswire

GridGain Offers New Consulting Services Packages for Apache Ignite and GridGain Community Edition
1 August 2019, GlobeNewswire

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