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DBMS > Elasticsearch vs. PostGIS vs. RavenDB

System Properties Comparison Elasticsearch vs. PostGIS vs. RavenDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonPostGIS  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 metricSpatial extension of PostgreSQLOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelSearch engineSpatial DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score157.69
Rank#8  Overall
#1  Search engines
Score31.82
Rank#28  Overall
#1  Spatial DBMS
Score3.47
Rank#94  Overall
#16  Document stores
Websitewww.elastic.co/­elasticsearchpostgis.netravendb.net
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlpostgis.net/­documentationravendb.net/­docs
DeveloperElasticHibernating Rhinos
Initial release201020052010
Current release7.8.0, June 20203.2.1, February 20225.3, November 2021
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoGPL v2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC#
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 persistentyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyes
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL-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
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsyes
Triggersyes infoby using the 'percolation' featureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes 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, allImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction available
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 controlyes infobased on PostgreSQLAccess control on document level using the Authorization Bundle
More information provided by the system vendor
ElasticsearchPostGISRavenDB
Specific characteristicsRavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesRavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosIoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersToyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metrics2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsRavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more

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More resources
ElasticsearchPostGISRavenDB
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

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Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

Whip up recipes with 'Elasticsearch 8.x Cookbook'
26 May 2022, TechTarget

Elastic Announces New Capabilities to Help Customers Solve Their Biggest Business Challenges
3 May 2022, Business Wire

Once frenemies, Elastic and AWS are now besties
19 May 2022, VentureBeat

Misconfigured ElasticSearch Servers Exposed 579 GB of Users' Website Activity
12 May 2022, HackRead

Elastic to Present at the Bank of America Global Technology Conference
25 May 2022, Business Wire

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Oren Eini on RavenDB, including Consistency Guarantees and C# as the Implementation Language
23 May 2022, InfoQ.com

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28 May 2022, ManufactureLink

RavenDB, one of the world's most innovative NoSQL Database, is expanding its presence in India with the hiring of a Local Government and Database Sector's Expert to drive growth
24 March 2022, PR Newswire

How to create a new database with RavenDB
6 January 2021, TechRepublic

RavenDB 5 Improves Distributed Time-Series, Document Compression, and Indexing
3 August 2020, InfoQ.com

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