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DBMS > Datastax Enterprise vs. EJDB vs. Oracle NoSQL

System Properties Comparison Datastax Enterprise vs. EJDB vs. Oracle NoSQL

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonEJDB  Xexclude from comparisonOracle NoSQL  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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelWide column storeDocument storeDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.04
Rank#46  Overall
#4  Wide column stores
Score0.26
Rank#264  Overall
#38  Document stores
Score4.49
Rank#79  Overall
#13  Document stores
#13  Key-value stores
#43  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseejdb.orgwww.oracle.com/­database/­technologies/­related/­nosql.html
Technical documentationdocs.datastax.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperDataStaxSoftmotionsOracle
Initial release201120122011
Current release6.8, April 202020.3, December 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava
Server operating systemsLinux
OS X
server-lessLinux
Solaris SPARC/x86
Data schemeschema-freeschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idoptional
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
in-process shared libraryRESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration
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 infodepending on configuration
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infooff heap cache
User concepts infoAccess controlAccess rights for users can be defined per objectnoAccess rights for users and roles
More information provided by the system vendor
Datastax EnterpriseEJDBOracle NoSQL
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 EnterpriseEJDBOracle NoSQL
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