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DBMS > Elasticsearch vs. Google Search Appliance vs. Microsoft Azure Table Storage

System Properties Comparison Elasticsearch vs. Google Search Appliance vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonMicrosoft Azure Table Storage  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.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelSearch engineSearch engineWide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score151.44
Rank#7  Overall
#1  Search engines
Score2.81
Rank#91  Overall
#10  Search engines
Score5.01
Rank#65  Overall
#5  Wide column stores
Websitewww.elastic.co/­products/­elasticsearchenterprise.google.com/­search/­products/­gsa.htmlazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlsupport.google.com/­gsa
DeveloperElasticGoogleMicrosoft
Initial release201020022012
Current release7.3.0, August 2019
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 languageJava
Server operating systemsAll OS with a Java VMhosted
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
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.nonono
Secondary indexesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL-like query languagenono
APIs and other access methodsJava API
RESTful HTTP/JSON API
Administrative API
Browser interface
HTTP API
RESTful HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesno
Triggersyes infoby using the 'percolation' featureno
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-slave replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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, allImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking
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 controlUser authentication via various security protocolsAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
ElasticsearchGoogle Search ApplianceMicrosoft Azure Table Storage
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

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

More resources
ElasticsearchGoogle Search ApplianceMicrosoft Azure Table Storage
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Recent citations in the news

Elastic Delivers Native Kubernetes Integration For Elasticsearch
16 January 2020, CRN: Technology news for channel partners and solution providers

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So Long Google Search Appliance
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How to use Azure Table storage in .Net
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11 November 2019, TechTarget

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