DBMS > InfluxDB vs. MongoDB vs. TimescaleDB
System Properties Comparison InfluxDB vs. MongoDB vs. TimescaleDB
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|Editorial information provided by DB-Engines|
|Name||InfluxDB Xexclude from comparison||MongoDB Xexclude from comparison||TimescaleDB Xexclude from comparison|
|Description||DBMS for storing time series, events and metrics||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL|
|Primary database model||Time Series DBMS||Document store||Time Series DBMS|
|Secondary database models||Spatial DBMS with GEO package||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
|Current release||2.7.1, April 2023||6.0.7, June 2023||2.13.0, November 2023|
|License Commercial or Open Source||Open Source MIT-License; commercial enterprise version available||Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.||Open Source Apache 2.0|
|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|
OS X through Homebrew
|Data scheme||schema-free||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.||yes|
|Typing predefined data types such as float or date||Numeric data and Strings||yes string, integer, double, decimal, boolean, date, object_id, geospatial||numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types|
|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||yes|
|SQL Support of SQL||SQL-like query language||Read-only SQL queries via the MongoDB Atlas SQL Interface||yes full PostgreSQL SQL syntax|
|APIs and other access methods||HTTP API|
JSON over UDP
proprietary protocol using JSON
native C library
streaming API for large objects
|Supported programming languages||.Net|
|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||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding in enterprise version only||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.||yes, across time and space (hash partitioning) attributes|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor in enterprise version only||Multi-Source deployments with MongoDB Atlas Global Clusters|
|Source-replica replication with hot standby and reads on replicas|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||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||ACID|
|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.||yes Depending on used storage engine||yes In-memory storage engine introduced with MongoDB version 3.2||no|
|User concepts Access control||simple rights management via user accounts||Access rights for users and roles||fine grained access rights according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||InfluxData is the creator of InfluxDB , the open source time series database. It...|
|MongoDB provides an integrated suite of cloud database and data services to accelerate...|
|Competitive advantages||Time to Value InfluxDB is available in all the popular languages and frameworks,...|
|Built around the flexible document data model and unified API, MongoDB is a developer...|
|Typical application scenarios||IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...|
|AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...|
|Key customers||InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...|
|ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...|
|Market metrics||Fastest-growing database to drive 25,500 GitHub stars Over 750,000 daily active instances|
|Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...|
|Licensing and pricing models||Open source core with closed source clustering available either on-premise or on...|
|MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...|
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