DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Elasticsearch vs. Google Cloud Datastore vs. Google Search Appliance

System Properties Comparison Elasticsearch vs. Google Cloud Datastore vs. Google Search Appliance

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGoogle Search Appliance  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 metricAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformThe Google Search Appliance consists of hardware and software for indexing documents in local networks.
Primary database modelSearch engineDocument storeSearch engine
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
Score4.81
Rank#67  Overall
#12  Document stores
Score2.81
Rank#91  Overall
#10  Search engines
Websitewww.elastic.co/­products/­elasticsearchcloud.google.com/­datastoreenterprise.google.com/­search/­products/­gsa.html
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.google.com/­datastore/­docssupport.google.com/­gsa
DeveloperElasticGoogleGoogle
Initial release201020082002
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 servicenoyesno
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, details here
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 indexedyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (GQL)no
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Administrative API
Browser interface
HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesusing Google App Engine
Triggersyes infoby using the 'percolation' featureCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-Master replication using PaxosMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infousing Google Cloud Dataflowno
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 or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
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 controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)User authentication via various security protocols
More information provided by the system vendor
ElasticsearchGoogle Cloud DatastoreGoogle Search Appliance
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

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 Cloud DatastoreGoogle Search Appliance
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

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

Microsoft exposes 250M customer service records via misconfigured Elasticsearch database
23 January 2020, SiliconANGLE

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

Elasticsearch Database Leaks 100 GB Data of Peekaboo Moments App
14 January 2020, CISO MAG

Five Microsoft Elasticsearch Servers with Private Data for 250 Million People Found Unsecured Online
23 January 2020, Security Boulevard

Database Access Misconfiguration Exposes 250M Customer Records at Microsoft
24 January 2020, InfoQ.com

provided by Google News

Google Cloud Datastore has Monday meltdown, tips other services over • DEVCLASS
11 November 2019, DevClass

Red Hat OpenShift Updates Hit Multi-Cloud, Security
15 January 2020, SDxCentral

Your occasional enterprise storage digest, featuring Red Hat, Nexsan, and Scality
17 January 2020, Blocks and Files

Ensure Kubernetes high availability with master node planning
27 January 2020, TechTarget

At a High Level: Microsoft Azure vs. Google Cloud Platform
13 September 2019, eWeek

provided by Google News

Elastic NV Search: Product Overview and Insight
15 January 2020, eWeek

So Long Google Search Appliance
4 February 2016, Fortune

Google Search Appliance May Be Gone, But Category Lives On
27 May 2016, Fortune

What is a Google Search Appliance?
8 January 2014, TechRepublic

Google Search Appliance Fades Away
9 February 2016, CMSWire

provided by Google News

Job opportunities

Apps Developer
Central Intelligence Agency, Washington, DC

DevOps Engineer - ElasticSearch/Cassandra
CrowdStrike, Remote

Operations Specialist (Night)
Bungie, Bellevue, WA

Elasticsearch Engineer
Cognizant Technology Solutions, Phoenix, AZ

Associate Consultant
CrowdStrike, Remote

Vice President Software Engineering
Jio, Inc., Chicago, IL

Google Data Engineer
Accenture, Denver, CO

Google Data Engineer
Accenture, Miami, FL

Google Data Engineer
Accenture, Tampa, FL

Google Data Engineer
Accenture, New York, NY

IT Architect
New York City DEPT OF INFO TECH & TELECOMM, Brooklyn, NY

.NET Developer - ICIT
University of Wisconsin System, Whitewater, WI

eComm Channel Merchandiser, Zoro
Zoro Tools, Chicago, IL

Principal Middleware Automation Engineer
Discover Financial Services, Riverwoods, IL

Lead Middleware Engineer
Discover Financial Services, Riverwoods, IL

jobs by Indeed




Share this page

Featured Products

MariaDB logo

How do MariaDB, Oracle MySQL and EnterpriseDB compare?
Get the white paper to
learn more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Datastax Luna logo

Simple, subscription-based support for open source
Apache Cassandra™ from the Cassandra experts.
Learn more.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Present your product here