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DBMS > EDB Postgres vs. Kdb vs. Microsoft Azure Synapse Analytics vs. Pinecone

System Properties Comparison EDB Postgres vs. Kdb vs. Microsoft Azure Synapse Analytics vs. Pinecone

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Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.High performance Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA managed, cloud-native vector database
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Relational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitewww.enterprisedb.comkx.comazure.microsoft.com/­services/­synapse-analyticswww.pinecone.io
Technical documentationwww.enterprisedb.com/­docscode.kx.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.pinecone.io/­docs/­overview
DeveloperEnterpriseDBKx Systems, a division of First Derivatives plcMicrosoftPinecone Systems, Inc
Initial release20052000 infokdb was released 2000, kdb+ in 200320162019
Current release14, December 20213.6, May 2018
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercial infofree 32-bit versioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCqC++
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
hostedhosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesString, Number, Boolean
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.yes infospecific XML-type available, but no XML query functionality.yesnono
Secondary indexesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyes infostandard with numerous extensionsSQL-like query language (q)yesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsTransact SQL
Triggersyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangehorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsyes
More information provided by the system vendor
EDB PostgresKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePinecone
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
EDB PostgresKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePinecone
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