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DBMS > Elasticsearch vs. Google Search Appliance vs. Microsoft Azure Cosmos DB

System Properties Comparison Elasticsearch vs. Google Search Appliance vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  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.Globally distributed, horizontally scalable, multi-model database service
Primary database modelSearch engineSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
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
Score31.33
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitewww.elastic.co/­products/­elasticsearchenterprise.google.com/­search/­products/­gsa.htmlazure.microsoft.com/­services/­cosmos-db
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlsupport.google.com/­gsadocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperElasticGoogleMicrosoft
Initial release201020022014
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 infoJSON 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.nono
Secondary indexesyes infoAll search fields are automatically indexedyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
Administrative API
Browser interface
HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languages.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresyesJavaScript
Triggersyes infoby using the 'percolation' featureJavaScript
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
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
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, allBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partition
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 integrationno
User concepts infoAccess controlUser authentication via various security protocolsAccess rights can be defined down to the item level
More information provided by the system vendor
ElasticsearchGoogle Search ApplianceMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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 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
CData: Connect to Big Data & NoSQL through standard Drivers.
» 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 Cosmos DB infoformer name was Azure DocumentDB
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Recent citations in the news

AWS faces Elasticsearch lawsuit for trademark infringement
1 October 2019, TechTarget

Review: Elasticsearch 7 soars with SQL, search optimizations
2 October 2019, InfoWorld

Amazon Faces Elasticsearch Trademark Infringement Suit (1)
30 September 2019, Bloomberg Law

The Warehouse Chooses Elastic’s Elasticsearch Service to Boost Consumer Loyalty
18 September 2019, Yahoo Finance

The Warehouse rolls out Elasticsearch to power its returns policy
18 September 2019, Reseller News

provided by Google News

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 Fades Away
9 February 2016, CMSWire

Google's hybrid cloud platform is now in beta
21 February 2019, DatacenterDynamics

Google Revamps Enterprise Search Appliance
11 February 2014, InformationWeek

provided by Google News

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

Microsoft Announces General Availability of Jupyter Notebooks Support for Cosmos DB
8 October 2019, InfoQ.com

Azure Cosmos DB now has support for built-in Jupyter notebooks
1 October 2019, Neowin

How to use Jupyter Notebook and Apache Spark in Azure Cosmos DB - Microsoft
20 September 2019, Channel 9

NoSQL Databases Software Market Highlights by Major Players: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase.
15 October 2019, Global Market Release

provided by Google News

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