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

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

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonQuestDB  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 metricThe Google Search Appliance consists of hardware and software for indexing documents in local networks.A high performance, low latency Time Series DBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelSearch engineSearch engineTime Series DBMSKey-value store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score148.91
Rank#7  Overall
#1  Search engines
Score2.62
Rank#95  Overall
#11  Search engines
Score0.18
Rank#264  Overall
#20  Time Series DBMS
Score0.08
Rank#296  Overall
#48  Key-value stores
Websitewww.elastic.co/­products/­elasticsearchenterprise.google.com/­search/­products/­gsa.htmlwww.questdb.iostssoft.com/­products/­stsdb-4-0
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlsupport.google.com/­gsawww.questdb.io/­docs/­docstructure
DeveloperElasticGoogleQuestDB LimitedSTS Soft SC
Initial release2010200220142011
Current release7.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicensecommercialOpen Source infoAGPL 3.0Open 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 languageJavaJavaC#
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
Windows
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 indexednono
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP/JSON API
Administrative API
Browser interface
HTTP API
HTTP REST.NET Client API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
JavaC#
Java
Server-side scripts infoStored proceduresyesnono
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonono
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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesno
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 controlUser authentication via various security protocolsno
More information provided by the system vendor
ElasticsearchGoogle Search ApplianceQuestDBSTSdb
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
ElasticsearchGoogle Search ApplianceQuestDBSTSdb
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Recent citations in the news

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5 April 2020, ZDNet

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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

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12 March 2020, Search Engine Roundtable

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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

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