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DBMS > Elasticsearch vs. Google Search Appliance vs. Microsoft Access

System Properties Comparison Elasticsearch vs. Google Search Appliance vs. Microsoft Access

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonMicrosoft Access  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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelSearch engineSearch engineRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score148.62
Rank#7  Overall
#1  Search engines
Score2.97
Rank#87  Overall
#8  Search engines
Score143.78
Rank#9  Overall
#6  Relational DBMS
Websitewww.elastic.co/­products/­elasticsearchenterprise.google.com/­search/­products/­gsa.htmlproducts.office.com/­en-us/­access
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlsupport.google.com/­gsamsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperElasticGoogleMicrosoft
Initial release201020021992
Current release7.0.0, April 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic Licensecommercialcommercial infoBundled with Microsoft Office
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++
Server operating systemsAll OS with a Java VMWindows infoNot a real database server, but making use of DLLs
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 infobut not compliant to any SQL standard
APIs and other access methodsJava API
RESTful HTTP/JSON API
Administrative API
Browser interface
HTTP API
DAO
OLE DB
ADO.NET
ODBC
Supported programming languages.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesyes infosince Access 2010 using the ACE-engine
Triggersyes infoby using the 'percolation' featureyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replicationnone
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 infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction logging
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 protocolsno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
ElasticsearchGoogle Search ApplianceMicrosoft Access
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 partiesElastic Cloud: Try the official hosted Elasticsearch.
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

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

More resources
ElasticsearchGoogle Search ApplianceMicrosoft Access
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