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DBMS > Elasticsearch vs. RavenDB

System Properties Comparison Elasticsearch vs. RavenDB

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Our visitors often compare Elasticsearch and RavenDB with MongoDB, CouchDB and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonRavenDB  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 metricOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelSearch engineDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score146.00
Rank#8  Overall
#1  Search engines
Score4.66
Rank#62  Overall
#9  Document stores
Websitewww.elastic.co/­products/­elasticsearchravendb.net
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlravendb.net/­docs
DeveloperElasticHibernating Rhinos
Initial release20102010
Current release7.0.0, April 20194.1, September 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenono
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 VMLinux
macOS
Raspberry Pi
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or dateyesno
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.no
Secondary indexesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (RQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesyes
Triggersyes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infoMapReduce functions can be defined in Linq
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, allEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integration
User concepts infoAccess controlAccess control on document level using the Authorization Bundle
More information provided by the system vendor
ElasticsearchRavenDB
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Mentioned in both Gartner and Forrester research, RavenDB is a pioneer in the newest...
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
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RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
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Typical application scenarios
» more
IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customers
» more
Toyota, Vodafone, Medicaid, Nomura, RMS Automotive, MSNBC, Pluralsight, JetBrains
» more
Market metricsMore than 250 million cumulative downloads More than 100,000 community members in...
» more
2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
RavenDB is available on-premise and in the cloud. RavenDB Community : You can take...
» more
Related products and services
3rd partiesDremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

Elastic 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
ElasticsearchRavenDB
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

Vizion.ai launches its managed Elasticsearch service
28 March 2019, TechCrunch

Manage Elasticsearch documents with indices and shards
18 April 2019, TechTarget

Elasticsearch waves types goodbye, while Elastic welcomes v7.0 of its stack • DEVCLASS
11 April 2019, DevClass

Elastic Common Schema enables consistent data modeling in Elasticsearch
2 April 2019, SDTimes.com

Caryn Marooney Elected to Elastic’s Board of Directors
25 April 2019, Yahoo Finance

provided by Google News

Review: NoSQL database RavenDB
20 March 2019, TechGenix

Global Document Databases Software Market 2019-2025 | Overview, Technology Trends, Growth Factors, Opportunities and Key Players Like – ArangoDB, MongoDB and Amazon
24 April 2019, The Market Fact

Operational Database Management Systems (OPDBMS) Software Market 2019 Global Outlook- Oracle, MongoDB, Microsoft
8 April 2019, Market Trends

Document Databases Software Market Size Forecast 2019-2024 Made Available by Top
22 April 2019, News.MarketSizeForecasters.com

Global NoSQL Databases Software Market 2019 Size Estimation, Consumption, Supply and Demand Analysis By Key Players, End Users, Various Product Types, Growth & Forecast 2024
10 April 2019, Market Research Gazette

provided by Google News

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