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DBMS > Datastax Enterprise vs. FatDB vs. JaguarDB vs. VictoriaMetrics

System Properties Comparison Datastax Enterprise vs. FatDB vs. JaguarDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonFatDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the 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.Performant, highly scalable DBMS for AI and IoT applicationsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelWide column storeDocument store
Key-value store
Key-value store
Vector DBMS
Time Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#60  Overall
#4  Wide column stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.jaguardb.comvictoriametrics.com
Technical documentationdocs.datastax.comwww.jaguardb.com/­support.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperDataStaxFatCloudDataJaguar, Inc.VictoriaMetrics
Initial release2011201220152018
Current release6.8, April 20203.3 July 2023v1.91, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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#C++ infothe server part. Clients available in other languagesGo
Server operating systemsLinux
OS X
WindowsLinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLno infoVia inetgration in SQL ServerA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
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
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infovia applicationsnono
Triggersyesyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingselectable replication factorMulti-source replicationSynchronous 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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnonono
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.yesnono
User concepts infoAccess controlAccess rights for users can be defined per objectno infoCan implement custom security layer via applicationsrights management via user accounts
More information provided by the system vendor
Datastax EnterpriseFatDBJaguarDBVictoriaMetrics
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
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 EnterpriseFatDBJaguarDBVictoriaMetrics
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