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DBMS > Blueflood vs. Microsoft SQL Server vs. MongoDB vs. PostgreSQL vs. Solr

System Properties Comparison Blueflood vs. Microsoft SQL Server vs. MongoDB vs. PostgreSQL vs. Solr

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonMongoDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraMicrosofts flagship relational DBMSOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Search engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score421.08
Rank#5  Overall
#1  Document stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websiteblueflood.iowww.microsoft.com/­en-us/­sql-serverwww.mongodb.comwww.postgresql.orgsolr.apache.org
Technical documentationgithub.com/­rax-maas/­blueflood/­wikilearn.microsoft.com/­en-US/­sql/­sql-serverwww.mongodb.com/­docs/­manualwww.postgresql.org/­docssolr.apache.org/­resources.html
DeveloperRackspaceMicrosoftMongoDB, IncPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software Foundation
Initial release2013198920091989 info1989: Postgres, 1996: PostgreSQL2006
Current releaseSQL Server 2022, November 20226.0.7, June 202316.3, May 20249.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoBSDOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • 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.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
  • PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageJavaC++C++CJava
Server operating systemsLinux
OS X
Linux
Windows
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemepredefined schemeyesschema-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.yesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes infosupports customizable data types and automatic typing
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.noyesyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesnoyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes infostandard with numerous extensionsSolr Parallel SQL Interface
APIs and other access methodsHTTP RESTADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
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
Kotlin
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java plugins
Triggersnoyesyes infoin MongoDB Atlas onlyyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandratables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.partitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes, but depending on the SQL-Server EditionMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDMulti-document ACID Transactions with snapshot isolationACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-memory storage engine introduced with MongoDB version 3.2noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and rolesfine grained access rights according to SQL-standardyes
More information provided by the system vendor
BluefloodMicrosoft SQL ServerMongoDBPostgreSQLSolr
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
BluefloodMicrosoft SQL ServerMongoDBPostgreSQLSolr
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