DBMS > GeoMesa vs. MongoDB vs. Oracle Rdb
System Properties Comparison GeoMesa vs. MongoDB vs. Oracle Rdb
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|Editorial information provided by DB-Engines|
|Name||GeoMesa Xexclude from comparison||MongoDB Xexclude from comparison||Oracle Rdb Xexclude from comparison|
|Description||GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure|
|Primary database model||Spatial DBMS||Document store||Relational DBMS|
|Secondary database models||Spatial DBMS|
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
Vector DBMS currently available in the MongoDB Atlas cloud service only
|Developer||CCRi and others||MongoDB, Inc||Oracle, originally developed by Digital Equipment Corporation (DEC)|
|Current release||4.0.4, October 2023||6.0.7, June 2023||184.108.40.206, 2021|
|License Commercial or Open Source||Open Source Apache License 2.0||Open Source MongoDB 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 Only available as a cloud service||no||no MongoDB available as DBaaS (MongoDB Atlas)||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|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.|
|Server operating systems||Linux|
|HP Open VMS|
|Data scheme||yes||schema-free Although 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.||Flexible Schema (defined schema, partial schema, schema free)|
|Typing predefined data types such as float or date||yes||yes string, integer, double, decimal, boolean, date, object_id, geospatial||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no|
|SQL Support of SQL||no||Read-only SQL queries via the MongoDB Atlas SQL Interface||yes|
|APIs and other access methods||GraphQL|
proprietary protocol using JSON
|Supported programming languages||Actionscript unofficial driver|
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Triggers||no||yes in MongoDB Atlas only|
|Partitioning methods Methods for storing different data on different nodes||depending on storage layer||Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.|
|Replication methods Methods for redundantly storing data on multiple nodes||depending on storage layer||Multi-Source deployments with MongoDB Atlas Global Clusters|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||depending on storage layer||Eventual Consistency can be individually decided for each read operation|
Immediate Consistency default behaviour
|Foreign keys Referential integrity||no||no typically not used, however similar functionality with DBRef possible||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||Multi-document ACID Transactions with snapshot isolation||yes, on a single node|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes optional, enabled by default||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||depending on storage layer||yes In-memory storage engine introduced with MongoDB version 3.2||no|
|User concepts Access control||yes depending on the DBMS used for storage||Access rights for users and roles|
|More information provided by the system vendor|
|Specific characteristics||MongoDB provides an integrated suite of cloud database and data services to accelerate...|
|Competitive advantages||Built around the flexible document data model and unified API, MongoDB is a developer...|
|Typical application scenarios||AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...|
|Key customers||ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...|
|Market metrics||Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...|
|Licensing and pricing models||MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...|
We invite representatives of system vendors to contact us for updating and extending the system information,
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|3rd parties||Studio 3T: The world's favorite IDE for working with MongoDB|
CData: Connect to Big Data & NoSQL through standard Drivers.
Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
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