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DBMS > Datastax Enterprise vs. Greenplum vs. Kdb

System Properties Comparison Datastax Enterprise vs. Greenplum vs. Kdb

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonGreenplum  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.High performance Time Series DBMS
Primary database modelWide column storeRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.07
Rank#57  Overall
#4  Wide column stores
Score9.20
Rank#48  Overall
#30  Relational DBMS
Score7.69
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitewww.datastax.com/­products/­datastax-enterprisegreenplum.orgkx.com
Technical documentationdocs.datastax.comdocs.greenplum.orgcode.kx.com
DeveloperDataStaxPivotal Software Inc.Kx Systems, a division of First Derivatives plc
Initial release201120052000 infokdb was released 2000, kdb+ in 2003
Current release6.8, April 20207.0.0, September 20233.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaq
Server operating systemsLinux
OS X
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infosince Version 4.2yes
Secondary indexesyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesSQL-like query language (q)
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
Perl
Python
R
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersyesyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 can be defined per objectfine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
Datastax EnterpriseGreenplumKdb
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Integrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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tick database streaming sensor data massive intelligence applications oil and gas...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsAnnual subscription
» more
upon request
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Datastax EnterpriseGreenplumKdb
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