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DBMS > IRONdb vs. LeanXcale vs. MongoDB vs. OpenSearch vs. Oracle Rdb

System Properties Comparison IRONdb vs. LeanXcale vs. MongoDB vs. OpenSearch vs. Oracle Rdb

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonLeanXcale  Xexclude from comparisonMongoDB  Xexclude from comparisonOpenSearch  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOne 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 Lucene
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Document storeSearch engineRelational 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#349  Overall
#34  Time Series DBMS
Score0.30
Rank#296  Overall
#42  Key-value stores
#136  Relational DBMS
Score486.23
Rank#5  Overall
#1  Document stores
Score9.57
Rank#49  Overall
#4  Search engines
Score1.45
Rank#160  Overall
#76  Relational DBMS
Websitewww.circonus.com/­solutions/­time-series-databasewww.leanxcale.comwww.mongodb.comgithub.com/­opensearch-project
opensearch.org
www.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.html
Technical documentationdocs.circonus.com/­irondbdocs.mongodb.com/­manualopensearch.org/­docs/­latest
DeveloperCirconus LLC.LeanXcaleMongoDB, IncAmazon Web ServicesOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20172015200920211984
Current releaseV0.10.20, January 20186.0.1, August 20222.2.0, August 20227.4.1.1, 2021
License infoCommercial or Open SourcecommercialcommercialOpen 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 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)nono
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.
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Aiven for OpenSearch: Fully managed open source search and analytics suite including search engine, NoSQL document database, and visualization interface.
Implementation languageC and C++C++Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
All OS with a Java VMHP Open VMS
Data schemeschema-freeyesschema-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 persistentFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
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 indexesnoyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yes infothrough Apache DerbyRead-only SQL queries via the MongoDB Connector for BISQL-like query languageyes
APIs and other access methodsHTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
proprietary protocol using JSONJava API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
Java
Scala
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
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresyes, in LuaJavaScriptyes
Triggersnoyes infoin MongoDB Atlas onlyyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDMulti-document ACID Transactions with snapshot isolationnoyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlnoAccess rights for users and roles
More information provided by the system vendor
IRONdbLeanXcaleMongoDBOpenSearchOracle Rdb
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics15 beta testers
» more
200+ million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» 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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More resources
IRONdbLeanXcaleMongoDBOpenSearchOracle Rdb
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