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DBMS > Datastax Enterprise vs. FatDB vs. Hyprcubd vs. Linter

System Properties Comparison Datastax Enterprise vs. FatDB vs. Hyprcubd vs. Linter

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonFatDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonLinter  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Serverless Time Series DBMSRDBMS for high security requirements
Primary database modelWide column storeDocument store
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisehyprcubd.com (offline)linter.ru
Technical documentationdocs.datastax.com
DeveloperDataStaxFatCloudHyprcubd, Inc.relex.ru
Initial release201120121990
Current release6.8, April 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languageJavaC#GoC and C++
Server operating systemsLinux
OS X
WindowshostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLno infoVia inetgration in SQL ServerSQL-like query languageyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (https)ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnoyes infovia applicationsnoyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyesyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingselectable replication factorSource-replica replication
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
Eventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.yesno
User concepts infoAccess controlAccess rights for users can be defined per objectno infoCan implement custom security layer via applicationstoken accessfine grained access rights according to SQL-standard
More information provided by the system vendor
Datastax EnterpriseFatDBHyprcubdLinter
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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Datastax EnterpriseFatDBHyprcubdLinter
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