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DBMS > MongoDB vs. TDengine vs. TerminusDB

System Properties Comparison MongoDB vs. TDengine vs. TerminusDB

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Editorial information provided by DB-Engines
NameMongoDB  Xexclude from comparisonTDengine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureTime Series DBMS and big data platformScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument storeTime Series DBMSGraph 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
Relational DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score423.96
Rank#5  Overall
#1  Document stores
Score2.68
Rank#109  Overall
#8  Time Series DBMS
Score0.22
Rank#323  Overall
#28  Graph DBMS
Websitewww.mongodb.comgithub.com/­taosdata/­TDengine
tdengine.com
terminusdb.com
Technical documentationwww.mongodb.com/­docs/­manualdocs.tdengine.comterminusdb.github.io/­terminusdb/­#
DeveloperMongoDB, IncTDEngine, previously Taos DataDataChemist Ltd.
Initial release200920192018
Current release6.0.7, June 20233.0, August 202211.0.0, January 2023
License infoCommercial or Open SourceOpen 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 infoGPL V3, also commercial editions availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceno 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.
Implementation languageC++CProlog, Rust
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeschema-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.yesyes
Typing infopredefined data types such as float or dateyes 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 indexesyesno
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Atlas SQL InterfaceStandard SQL with extensions for time-series applicationsSQL-like query language (WOQL)
APIs and other access methodsGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
JDBC
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
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
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
JavaScript
Python
Server-side scripts infoStored proceduresJavaScriptnoyes
Triggersyes infoin MongoDB Atlas onlyyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.ShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infooptional, enabled by defaultyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users and rolesyesRole-based access control
More information provided by the system vendor
MongoDBTDengineTerminusDB infoformer name was DataChemist
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» 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
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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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
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Conferences, events and webinars

Intro to MongoDB
Webinar, 11am ET, 1 May 2024

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