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DBMS > Elasticsearch vs. HugeGraph vs. MongoDB

System Properties Comparison Elasticsearch vs. HugeGraph vs. MongoDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonHugeGraph  Xexclude from comparisonMongoDB  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 metricA fast-speed and highly-scalable Graph DBMSOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelSearch engineGraph DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score155.35
Rank#8  Overall
#1  Search engines
Score0.12
Rank#304  Overall
#30  Graph DBMS
Score481.01
Rank#5  Overall
#1  Document stores
Websitewww.elastic.co/­elasticsearchgithub.com/­hugegraphwww.mongodb.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlhugegraph.github.io/­hugegraph-docdocs.mongodb.com/­manual
DeveloperElasticBaiduMongoDB, Inc
Initial release201020182009
Current release7.8.0, June 20200.94.4.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoApache Version 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
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 Amazon Web Services, Google Cloud and Microsoft Azure that's powered by the creators of Elasticsearch.
  • 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: the global and fully-managed cloud database service from the makers of MongoDB. Deploy across AWS, Azure, or GCP.
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
Linux
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-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.
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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 infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like query languagenoRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsJava API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
proprietary protocol using JSON
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Groovy
Java
Python
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
Server-side scripts infoStored proceduresyesasynchronous Gremlin script jobsJavaScript
Triggersyes infoby using the 'percolation' featurenoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectorvia hugegraph-sparkyes
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 ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyes infoedges in graphno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users and roles
More information provided by the system vendor
ElasticsearchHugeGraphMongoDB
Specific characteristicsElasticsearch is an open source search and analytics engine. As the heart of the...
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesOpen source Real-time indexsearch, and analysis Horizontally scalable Distributed...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosEnterprise search (search experiences for your workplace, apps, and websites), observability...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersThousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsPublic as of October 2018 Distributed workforce with 1900+ employees around the globe​...
» more
125 million downloads (growing at more than 30 thousand downloads per day), over...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» 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.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchHugeGraphMongoDB
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Conferences and events

MongoDB, Back to Basics
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