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DBMS > GeoMesa vs. MongoDB vs. Warp 10

System Properties Comparison GeoMesa vs. MongoDB vs. Warp 10

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMongoDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionGeoMesa 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 infrastructureTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSpatial DBMSDocument storeTime Series 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
Score0.75
Rank#204  Overall
#3  Spatial DBMS
Score472.98
Rank#5  Overall
#1  Document stores
Score0.18
Rank#295  Overall
#26  Time Series DBMS
Websitewww.geomesa.orgwww.mongodb.comwww.warp10.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.mongodb.com/­manualwww.warp10.io/­content/­02_Getting_started
DeveloperCCRi and othersMongoDB, IncSenX
Initial release201420092015
Current release3.2.0, April 20215.0.9, May 2022
License infoCommercial or Open SourceOpen Source infoApache License 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.Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++Java
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
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
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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 indexesyesyesno
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsproprietary protocol using JSONHTTP API
Jupyter
WebSocket
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
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 proceduresnoJavaScriptyes infoWarpScript
Triggersnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding 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 infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency infobased on HBase
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 isolationno
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.depending on storage layeryes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
GeoMesaMongoDBWarp 10
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 metrics200+ 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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More resources
GeoMesaMongoDBWarp 10
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