DBMS > Google Cloud Datastore vs. MongoDB vs. TimescaleDB
System Properties Comparison Google Cloud Datastore vs. MongoDB vs. TimescaleDB
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|Editorial information provided by DB-Engines
|Google Cloud Datastore Xexclude from comparison
|MongoDB Xexclude from comparison
|TimescaleDB Xexclude from comparison
|Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
|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
|Secondary database models
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
|6.0.7, June 2023
|2.13.0, November 2023
|License Commercial or Open Source
|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 MongoDB available as DBaaS (MongoDB Atlas)
|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
|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.
|Typing predefined data types such as float or date
|yes, details here
|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.
|SQL Support of SQL
|SQL-like query language (GQL)
|Read-only SQL queries via the MongoDB Atlas SQL Interface
|yes full PostgreSQL SQL syntax
|APIs and other access methods
|gRPC (using protocol buffers) API
RESTful HTTP/JSON API
proprietary protocol using JSON
native C library
streaming API for large objects
|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
|Server-side scripts Stored procedures
|using Google App Engine
|user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
|Callbacks using the Google Apps Engine
|yes in MongoDB Atlas only
|Partitioning methods Methods for storing different data on different nodes
|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
|Multi-source replication using Paxos
|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
|yes using Google Cloud Dataflow
|Consistency concepts Methods to ensure consistency in a distributed system
|Immediate Consistency or Eventual Consistency depending on type of query and configuration Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
|Eventual Consistency can be individually decided for each read operation
Immediate Consistency default behaviour
|Foreign keys Referential integrity
|yes via ReferenceProperties or Ancestor paths
|no typically not used, however similar functionality with DBRef possible
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|ACID Serializable Isolation within Transactions, Read Committed outside of Transactions
|Multi-document ACID Transactions with snapshot isolation
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|yes optional, enabled by default
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|yes In-memory storage engine introduced with MongoDB version 3.2
|User concepts Access control
|Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
|Access rights for users and roles
|fine grained access rights according to SQL-standard
|More information provided by the system vendor
|Google Cloud Datastore
|MongoDB provides an integrated suite of cloud database and data services to accelerate...
|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...
|ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
|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,
|Related products and services
|Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
Studio 3T: The world's favorite IDE for working with MongoDB
CData: Connect to Big Data & NoSQL through standard Drivers.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Google Cloud Datastore
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