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DBMS > Datastax Enterprise vs. Geode vs. Kdb vs. SpaceTime

System Properties Comparison Datastax Enterprise vs. Geode vs. Kdb vs. SpaceTime

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonGeode  Xexclude from comparisonKdb  Xexclude from comparisonSpaceTime  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesHigh performance Time Series DBMSSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelWide column storeKey-value storeTime Series DBMS
Vector DBMS
Spatial DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.82
Rank#65  Overall
#4  Wide column stores
Score1.51
Rank#147  Overall
#25  Key-value stores
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Websitewww.datastax.com/­products/­datastax-enterprisegeode.apache.orgkx.comwww.mireo.com/­spacetime
Technical documentationdocs.datastax.comgeode.apache.org/­docscode.kx.com
DeveloperDataStaxOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Kx Systems, a division of First Derivatives plcMireo
Initial release201120022000 infokdb was released 2000, kdb+ in 20032020
Current release6.8, April 20201.1, February 20173.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaqC++
Server operating systemsLinux
OS X
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyes
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.nonoyesno
Secondary indexesyesnoyes infotable attribute 'grouped'no
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query language (OQL)SQL-like query language (q)A subset of ANSI SQL is implemented
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Java Client API
Memcached protocol
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
C++
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersyesyes infoCache Event Listenersyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardinghorizontal partitioningFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replicationSource-replica replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsyes, on a single nodenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyesno
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights per client and object definablerights management via user accountsyes
More information provided by the system vendor
Datastax EnterpriseGeodeKdbSpaceTime
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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More resources
Datastax EnterpriseGeodeKdbSpaceTime
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