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DBMS > Datastax Enterprise vs. etcd vs. FatDB vs. SQream DB

System Properties Comparison Datastax Enterprise vs. etcd vs. FatDB vs. SQream DB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonetcd  Xexclude from comparisonFatDB  Xexclude from comparisonSQream DB  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 distributed reliable key-value storeA .NET NoSQL DBMS that can integrate with and extend SQL Server.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelWide column storeKey-value storeDocument store
Key-value store
Relational 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
Score5.93
Rank#56  Overall
#4  Wide column stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseetcd.io
github.com/­etcd-io/­etcd
sqream.com
Technical documentationdocs.datastax.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.sqream.com
DeveloperDataStaxFatCloudSQream Technologies
Initial release201120122017
Current release6.8, April 20203.4, August 20192022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
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 languageJavaGoC#C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
FreeBSD
Linux
Windows infoexperimental
WindowsLinux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI Standard SQL Types
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 indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnono infoVia inetgration in SQL Serveryes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
gRPC
JSON over HTTP
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
.Net
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes infovia applicationsuser defined functions in Python
Triggersyesyes, watching key changesyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate 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 operationsnonoACID
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.yesno
User concepts infoAccess controlAccess rights for users can be defined per objectnono infoCan implement custom security layer via applications
More information provided by the system vendor
Datastax EnterpriseetcdFatDBSQream DB
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 EnterpriseetcdFatDBSQream DB
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