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DBMS > Amazon DocumentDB vs. Apache Pinot vs. Microsoft SQL Server vs. PostgreSQL vs. SingleStore

System Properties Comparison Amazon DocumentDB vs. Apache Pinot vs. Microsoft SQL Server vs. PostgreSQL vs. SingleStore

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Pinot  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyMicrosofts flagship relational DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websiteaws.amazon.com/­documentdbpinot.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.postgresql.orgwww.singlestore.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.pinot.apache.orglearn.microsoft.com/­en-US/­sql/­sql-serverwww.postgresql.org/­docsdocs.singlestore.com
DeveloperApache Software Foundation and contributorsMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerSingleStore Inc.
Initial release2019201519891989 info1989: Postgres, 1996: PostgreSQL2013
Current release1.0.0, September 2023SQL Server 2022, November 202216.3, May 20248.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infoBSDcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CC++, Go
Server operating systemshostedAll OS with a Java JDK11 or higherLinux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux info64 bit version required
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes infostandard with numerous extensionsyes infobut no triggers and foreign keys
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federationpartitioning by range, list and (since PostgreSQL 11) by hashSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes, but depending on the SQL-Server EditionSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardFine grained access control via users, groups and roles
More information provided by the system vendor
Amazon DocumentDBApache PinotMicrosoft SQL ServerPostgreSQLSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
Amazon DocumentDBApache PinotMicrosoft SQL ServerPostgreSQLSingleStore infoformer name was MemSQL
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