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DBMS > Elasticsearch vs. MongoDB vs. SQream DB

System Properties Comparison Elasticsearch vs. MongoDB vs. SQream DB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMongoDB  Xexclude from comparisonSQream DB  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 metricOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructurea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelSearch engineDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score159.09
Rank#8  Overall
#1  Search engines
Score487.35
Rank#5  Overall
#1  Document stores
Score0.62
Rank#221  Overall
#108  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.mongodb.comsqream.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.mongodb.com/­manualdocs.sqream.com
DeveloperElasticMongoDB, IncSQream Technologies
Initial release201020092014
Current release7.8.0, June 20205.0, July 20212020.2, July 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageJavaC++C++, CUDA, Haskell
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes, ANSI Standard SQL 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.no
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageRead-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
proprietary protocol using JSON.Net
JDBC
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesJavaScriptuser defined functions in Python
Triggersyes infoby using the 'percolation' featureyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.horizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesno
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
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users and roles
More information provided by the system vendor
ElasticsearchMongoDBSQream DB
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ElasticsearchMongoDBSQream DB
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
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PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL moves up one rank at the expense of MongoDB
1 September 2016, Paul Andlinger

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Conferences and events

MongoDB & Google Cloud Developer Summit
Virtual Event, 28 October 2021 (finished)

Recent citations in the news

Instaclustr Elasticsearch cloud service becomes OpenSearch
1 November 2021, ZDNet

Elastic keeps ticking
15 November 2021, InfoWorld

Syncing Hyperledger Fabric StateDB (CouchDB) to Elasticsearch - Latest Digital Transformation Trends | Cloud News
4 November 2021, Wire19

Why Elastic Shares Gained 16% in October
8 November 2021, Motley Fool

Elastic beta release offers sneak peak of Elastic 8.0.0 • DEVCLASS
10 November 2021, DevClass

provided by Google News

MongoDB: Rapidly Growing Database Company With Attractive Prospects
26 November 2021, Seeking Alpha

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18 November 2021, ZDNet

How to Create a Database and Collection in MongoDB
11 November 2021, MakeUseOf

MongoDB 5.1 for DBaaS arrives amid questions over on-prem release stability
11 November 2021, The Register

MongoDB Continues Commitment to Security with New ISO and CSA Certifications for Growing Data Platform
4 November 2021, PRNewswire

provided by Google News

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

Next-Gen Database Company SQream Raises $39.4M In Funding
24 June 2020, CRN: Technology news for channel partners and solution providers

Alibaba Group leads $26.4M Series B in GPU database provider SQream
30 May 2018, TechCrunch

Stretching GPU Database Performance With Flash Arrays
26 February 2019, The Next Platform

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

provided by Google News

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