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DBMS > Ingres vs. MongoDB vs. OpenSearch vs. RDF4J vs. Vitess

System Properties Comparison Ingres vs. MongoDB vs. OpenSearch vs. RDF4J vs. Vitess

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonMongoDB  Xexclude from comparisonOpenSearch  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionWell established RDBMSOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSDocument storeSearch engineRDF storeRelational DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Vector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score421.08
Rank#5  Overall
#1  Document stores
Score16.03
Rank#37  Overall
#4  Search engines
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.actian.com/­databases/­ingreswww.mongodb.comgithub.com/­opensearch-project
opensearch.org
rdf4j.orgvitess.io
Technical documentationdocs.actian.com/­ingreswww.mongodb.com/­docs/­manualopensearch.org/­docs/­latestrdf4j.org/­documentationvitess.io/­docs
DeveloperActian CorporationMongoDB, IncAmazon Web ServicesSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.The Linux Foundation, PlanetScale
Initial release1974 infooriginally developed at University Berkely in early 1970s2009202120042013
Current release11.2, May 20226.0.7, June 20232.5.0, January 202315.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache Version 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)nonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • 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.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
  • Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
Implementation languageCC++JavaJavaGo
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Unix
Windows
Docker
Linux
macOS
Data schemeyesschema-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.schema-free infoFlexible type definitions. Once a type is defined, it is persistentyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyesyes
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 infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLyesRead-only SQL queries via the MongoDB Atlas SQL InterfaceSQL-like query languagenoyes infowith proprietary extensions
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Java API
RESTful HTTP/JSON API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesActionscript 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
Kotlin
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
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Java
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesJavaScriptyesyesyes infoproprietary syntax
Triggersyesyes infoin MongoDB Atlas onlyyes infoby using the 'percolation' featureyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.ShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatorMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possiblenoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationnoACID infoIsolation support depends on the API usedACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnoUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
IngresMongoDBOpenSearchRDF4J infoformerly known as SesameVitess
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
The OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
The OpenSearch Project offers open source software licensed under Apache License...
» more

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

Related products and services
3rd partiesNavicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
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Studio 3T: The world's favorite IDE for working with MongoDB
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Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
» more

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

More resources
IngresMongoDBOpenSearchRDF4J infoformerly known as SesameVitess
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