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

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

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Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonGalaxybase  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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.Scalable, ACID-compliant native distributed parallel graph platformHigh performance Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSGraph DBMSTime Series DBMS
Vector DBMS
Relational 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
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitewww.enterprisedb.comgalaxybase.comkx.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.enterprisedb.com/­docscode.kx.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperEnterpriseDBChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Kx Systems, a division of First Derivatives plcMicrosoft
Initial release200520172000 infokdb was released 2000, kdb+ in 20032016
Current release14, December 2021Nov 20, November 20213.6, May 2018
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialcommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and JavaqC++
Server operating systemsLinux
Windows
LinuxLinux
OS X
Solaris
Windows
hosted
Data schemeyesStrong typed schemayesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyes infostandard with numerous extensionsnoSQL-like query language (q)yes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
Go
Java
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined procedures and functionsuser defined functionsTransact SQL
Triggersyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardinghorizontal 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 methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyesno 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 dataACIDACIDnoACID
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlrights management via user accountsyes
More information provided by the system vendor
EDB PostgresGalaxybaseKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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...
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Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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Licensing and pricing modelsupon request
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More resources
EDB PostgresGalaxybaseKdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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