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DBMS > FoundationDB vs. Microsoft Azure Synapse Analytics vs. MongoDB

System Properties Comparison FoundationDB vs. Microsoft Azure Synapse Analytics vs. MongoDB

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMongoDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSDocument store
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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.83
Rank#142  Overall
#26  Document stores
#26  Key-value stores
#71  Relational DBMS
Score22.25
Rank#34  Overall
#20  Relational DBMS
Score469.33
Rank#5  Overall
#1  Document stores
Websitewww.foundationdb.orgazure.microsoft.com/­services/­synapse-analyticswww.mongodb.com
Technical documentationapple.github.io/­foundationdbdocs.microsoft.com/­azure/­synapse-analyticsdocs.mongodb.com/­manual
DeveloperFoundationDBMicrosoftMongoDB, Inc
Initial release201320162009
Current release6.2.28, November 20206.0.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenoyesno infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeschema-free infosome layers support schemasyesschema-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.
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.no
Secondary indexesnoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyesRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
Java
PHP
Actionscript 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
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
Server-side scripts infoStored proceduresin SQL-layer onlyTransact SQLJavaScript
Triggersnonoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding infoPartitioned 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 infoMethods for redundantly storing data on multiple nodesyesyesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityin SQL-layer onlyno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by default
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 controlnoyesAccess rights for users and roles

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More resources
FoundationDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMongoDB
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