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DBMS > Datastax Enterprise vs. EJDB vs. Grakn

System Properties Comparison Datastax Enterprise vs. EJDB vs. Grakn

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonEJDB  Xexclude from comparisonGrakn  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)Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.
Primary database modelWide column storeDocument storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
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
Score0.70
Rank#203  Overall
#18  Graph DBMS
#100  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseejdb.orggrakn.ai
Technical documentationdocs.datastax.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddev.grakn.ai/­docs
DeveloperDataStaxSoftmotionsGrakn Labs
Initial release201120122016
Current release6.8, April 20201.8.4, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava
Server operating systemsLinux
OS X
server-lessLinux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyes
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 SQLnono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
in-process shared libraryconsole (shell)
gRPC protocol
Workbase (visualisation software)
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
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID
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.yesno
User concepts infoAccess controlAccess rights for users can be defined per objectnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Datastax EnterpriseEJDBGrakn
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Grakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Expressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Life sciences : Grakn makes working with biological data much easier and accelerates...
» 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
AGPL and Commercial . The commercial license is priced based on cluster resources...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Datastax EnterpriseEJDBGrakn
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