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DBMS > Microsoft Azure Synapse Analytics vs. Pinecone vs. PostgreSQL vs. SQLite vs. Teradata

System Properties Comparison Microsoft Azure Synapse Analytics vs. Pinecone vs. PostgreSQL vs. SQLite vs. Teradata

Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPinecone  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSQLite  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA managed, cloud-native vector databaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLWidely used embeddable, in-process RDBMSA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSVector DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score103.35
Rank#10  Overall
#7  Relational DBMS
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticswww.pinecone.iowww.postgresql.orgwww.sqlite.orgwww.teradata.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsdocs.pinecone.io/­docs/­overviewwww.postgresql.org/­docswww.sqlite.org/­docs.htmldocs.teradata.com
DeveloperMicrosoftPinecone Systems, IncPostgreSQL Global Development Group infowww.postgresql.org/­developerDwayne Richard HippTeradata
Initial release201620191989 info1989: Postgres, 1996: PostgreSQL20001984
Current release16.4, August 20243.46.1  (13 August 2024), August 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoPublic Domaincommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC++CC
Server operating systemshostedhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
server-lesshosted
Linux
Data schemeyesyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesyes infonot rigid because of 'dynamic typing' concept.yes
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.nonoyes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesnoyes infostandard with numerous extensionsyes infoSQL-92 is not fully supportedyes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
Java
PHP
Python.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresTransact SQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hashnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePineconePostgreSQLSQLiteTeradata
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