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DBMS > Datastax Enterprise vs. etcd vs. IBM Db2 warehouse vs. Realm

System Properties Comparison Datastax Enterprise vs. etcd vs. IBM Db2 warehouse vs. Realm

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonetcd  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonRealm  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.A distributed reliable key-value storeCloud-based data warehousing serviceA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelWide column storeKey-value storeRelational DBMSDocument store
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
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.datastax.com/­products/­datastax-enterpriseetcd.io
github.com/­etcd-io/­etcd
www.ibm.com/­products/­db2/­warehouserealm.io
Technical documentationdocs.datastax.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
realm.io/­docs
DeveloperDataStaxIBMRealm, acquired by MongoDB in May 2019
Initial release201120142014
Current release6.8, April 20203.4, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source
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 languageJavaGo
Server operating systemsLinux
OS X
FreeBSD
Linux
Windows infoexperimental
hostedAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 infoImport/export of XML data possibleno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyesno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
gRPC
JSON over HTTP
.NET Client API
JDBC
ODBC
OLE DB
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
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnonoPL/SQL, SQL PLno inforuns within the applications so server-side scripts are unnecessary
Triggersyesyes, watching key changesyesyes infoChange Listeners
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 computingUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate 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 operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnoyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users can be defined per objectnofine grained access rights according to SQL-standardyes
More information provided by the system vendor
Datastax EnterpriseetcdIBM Db2 warehouse infoformerly named IBM dashDBRealm
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 EnterpriseetcdIBM Db2 warehouse infoformerly named IBM dashDBRealm
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