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DBMS > Datastax Enterprise vs. GeoMesa vs. MonetDB vs. Transwarp KunDB

System Properties Comparison Datastax Enterprise vs. GeoMesa vs. MonetDB vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonGeoMesa  Xexclude from comparisonMonetDB  Xexclude from comparisonTranswarp KunDB  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A relational database management system that stores data in columnsOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelWide column storeSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#60  Overall
#4  Wide column stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.geomesa.orgwww.monetdb.orgwww.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.datastax.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.monetdb.org/­Documentation
DeveloperDataStaxCCRi and othersMonetDB BVTranswarp
Initial release201120142004
Current release6.8, April 20204.0.5, February 2024Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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 languageJavaScalaC
Server operating systemsLinux
OS X
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyes infoSQL 2003 with some extensionsyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes, in SQL, C, Ryes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"depending on storage layerSharding via remote tableshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingdepending on storage layernone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
depending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDACID
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.yesdepending on storage layer
User concepts infoAccess controlAccess rights for users can be defined per objectyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyes
More information provided by the system vendor
Datastax EnterpriseGeoMesaMonetDBTranswarp KunDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Datastax EnterpriseGeoMesaMonetDBTranswarp KunDB
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