DBMS > Fauna vs. MongoDB vs. Sphinx
System Properties Comparison Fauna vs. MongoDB vs. Sphinx
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|Editorial information provided by DB-Engines
|Fauna previously named FaunaDB Xexclude from comparison
|MongoDB Xexclude from comparison
|Sphinx Xexclude from comparison
|Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.
|One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
|Open source search engine for searching in data from different sources, e.g. relational databases
|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
|Sphinx Technologies Inc.
|6.0.7, June 2023
|3.5.1, February 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 GPL version 2, commercial licence available
|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 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.
|yes full-text index on all search fields
|SQL Support of SQL
|Read-only SQL queries via the MongoDB Atlas SQL Interface
|SQL-like query language (SphinxQL)
|APIs and other access methods
|RESTful HTTP API
proprietary protocol using JSON
|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
|C++ unofficial client library
Perl unofficial client library
Ruby unofficial client library
|Server-side scripts Stored procedures
|user defined functions
|yes in MongoDB Atlas only
|Partitioning methods Methods for storing different data on different nodes
|horizontal partitioning consistent hashing
|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.
|Sharding Partitioning is done manually, search queries against distributed index is supported
|Replication methods Methods for redundantly storing data on multiple nodes
|Multi-Source deployments with MongoDB Atlas Global Clusters
|MapReduce Offers an API for user-defined Map/Reduce methods
|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 typically not used, however similar functionality with DBRef possible
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|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
|yes The original contents of fields are not stored in the Sphinx index.
|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
|Identity management, authentication, and access control
|Access rights for users and roles
|More information provided by the system vendor
|Fauna previously named FaunaDB
|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
|CData: Connect to Big Data & NoSQL through standard Drivers.
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|Fauna previously named FaunaDB
|DB-Engines blog posts
Snowflake is the DBMS of the Year 2021
The DB-Engines ranking includes now search engines Fauna's new query language is custom-built for its serverless database Fauna Query Language tamed to appeal to developers Fauna Adds Transformative Schema-as-Code Capabilities to Enterprise Proven, Document-Relational Database CITES Trade Database surpasses 25 million trade transaction records Fauna Adds Groundbreaking New Database Language and Seamless Developer Experience to Enterprise Proven ... provided by Google News Six More Cloud Regions Welcome MongoDB Atlas in Global Expansion Drive Beyond The Numbers: 12 Analysts Discuss MongoDB Stock - MongoDB (NASDAQ:MDB) MongoDB (MDB) to Report Q4 Earnings: What's in the Offing? Mixed Analyst Sentiment on MongoDB Sell Rating Reiterated but Price Target Raised provided by Google News Switching From Sphinx to MkDocs Documentation — What Did I Gain and Lose Manticore is a Faster Alternative to Elasticsearch in C++ The Luxor in Las Vegas Is the Third Biggest Pyramid in the World - radiozona.com.ar The Pirate Bay was recently down for over a week due to a DDoS attack How to Build 600+ Links in One Month provided by Google News
Fauna's new query language is custom-built for its serverless database
Fauna Query Language tamed to appeal to developers
Fauna Adds Transformative Schema-as-Code Capabilities to Enterprise Proven, Document-Relational Database
CITES Trade Database surpasses 25 million trade transaction records
Fauna Adds Groundbreaking New Database Language and Seamless Developer Experience to Enterprise Proven ...
provided by Google News
Six More Cloud Regions Welcome MongoDB Atlas in Global Expansion Drive
Beyond The Numbers: 12 Analysts Discuss MongoDB Stock - MongoDB (NASDAQ:MDB)
MongoDB (MDB) to Report Q4 Earnings: What's in the Offing?
Mixed Analyst Sentiment on MongoDB Sell Rating Reiterated but Price Target Raised
provided by Google News
Switching From Sphinx to MkDocs Documentation — What Did I Gain and Lose
Manticore is a Faster Alternative to Elasticsearch in C++
The Luxor in Las Vegas Is the Third Biggest Pyramid in the World - radiozona.com.ar
The Pirate Bay was recently down for over a week due to a DDoS attack
How to Build 600+ Links in One Month
provided by Google News
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