DBMS > Google Cloud Spanner vs. MongoDB vs. VoltDB
System Properties Comparison Google Cloud Spanner vs. MongoDB vs. VoltDB
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|Editorial information provided by DB-Engines
|Google Cloud Spanner Xexclude from comparison
|MongoDB Xexclude from comparison
|VoltDB Xexclude from comparison
|A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.
|One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
|Distributed In-Memory NewSQL RDBMS Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
|Primary database model
|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
|11.3, April 2022
|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 AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
|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
OS X for development
|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 string, integer, double, decimal, boolean, date, object_id, geospatial
|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
|yes Query statements complying to ANSI 2011
|Read-only SQL queries via the MongoDB Atlas SQL Interface
|yes only a subset of SQL 99
|APIs and other access methods
|gRPC (using protocol buffers) API
JDBC At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
proprietary protocol using JSON
RESTful HTTP/JSON API
|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
Erlang not officially supported
|Server-side scripts Stored procedures
|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.
|Replication methods Methods for redundantly storing data on multiple nodes
|Multi-source replication with 3 replicas for regional instances.
|Multi-Source deployments with MongoDB Atlas Global Clusters
|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
|Eventual Consistency can be individually decided for each read operation
Immediate Consistency default behaviour
|Foreign keys Referential integrity
|yes by using interleaved tables, this features focuses more on performance improvements than on referential integrity
|no typically not used, however similar functionality with DBRef possible
|no FOREIGN KEY constraints are not supported
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|ACID Strict serializable isolation
|Multi-document ACID Transactions with snapshot isolation
|ACID Transactions are executed single-threaded within stored procedures
|Concurrency Support for concurrent manipulation of data
|yes Data access is serialized by the server
|Durability Support for making data persistent
|yes optional, enabled by default
|yes Snapshots and command logging
|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
|Users and roles with access to stored procedures
|More information provided by the system vendor
|Google Cloud Spanner
|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...
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|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 Spanner
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