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

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

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonSTSdb  Xexclude from comparisonTimescaleDB  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.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSearch engineSearch engineKey-value storeTime Series DBMS
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
Score0.08
Rank#296  Overall
#48  Key-value stores
Score1.87
Rank#115  Overall
#8  Time Series DBMS
Websitewww.elastic.co/­products/­elasticsearchenterprise.google.com/­search/­products/­gsa.htmlstssoft.com/­products/­stsdb-4-0www.timescale.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlsupport.google.com/­gsadocs.timescale.com
DeveloperElasticGoogleSTS Soft SCTimescale
Initial release2010200220112017
Current release7.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicensecommercialOpen Source infoGPLv2, commercial license availableOpen Source infoApache 2.0
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 languageJavaC#C
Server operating systemsAll OS with a Java VMWindowsLinux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 indexednoyes
SQL infoSupport of SQLSQL-like query languagenonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RESTful HTTP/JSON API
Administrative API
Browser interface
HTTP API
.NET Client APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replicationnoneMaster-slave replication with hot standby and reads on slaves info
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 integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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 protocolsnofine grained access rights according to SQL-standard
More information provided by the system vendor
ElasticsearchGoogle Search ApplianceSTSdbTimescaleDB
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
TimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosSearch, logging, security, metrics, maps and business analytics use cases.
» more
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customers
» more
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metricsMore than 400 million cumulative downloads More than 100,000 community members in...
» more
1.8 million+ downloads, 7,500+ Github stars
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
Apache 2 and Timescale License (TSL); Product matrix here ; information on pricing...
» 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.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchGoogle Search ApplianceSTSdbTimescaleDB
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

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2 March 2016, Paul Andlinger

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Recent citations in the news

Elasticsearch Database with 42 Million Records of Iranian Citizen Found Exposed Online
7 April 2020, Security Boulevard

A hacker has wiped, defaced more than 15,000 Elasticsearch servers
5 April 2020, ZDNet

Instaclustr Offering Fully Managed Open Source Elasticsearch on AWS
30 March 2020, GlobeNewswire

Elasticsearch database, unprotected and readily available, exposes 5 billion records
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Unprotected Elasticsearch Server Leaks 5 Billion Records
20 March 2020, CISO MAG

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Why Google Search Console & Google Analytics Data Never Matches
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12 March 2020, Search Engine Roundtable

So Long Google Search Appliance
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

TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

The First Complete Life-Cycle Database Management Solution for TimescaleDB
16 April 2019, PRNewswire

Why time series databases are exploding in popularity
26 June 2019, TechRepublic

provided by Google News

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