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DBMS > Apache Kylin vs. Datastax Enterprise vs. Datomic vs. Valentina Server

System Properties Comparison Apache Kylin vs. Datastax Enterprise vs. Datomic vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonDatomic  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackDataStax 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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityObject-relational database and reports server
Primary database modelRelational DBMSWide column storeRelational DBMSRelational 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
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitekylin.apache.orgwww.datastax.com/­products/­datastax-enterprisewww.datomic.comwww.valentina-db.net
Technical documentationkylin.apache.org/­docsdocs.datastax.comdocs.datomic.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation, originally contributed from eBay IncDataStaxCognitectParadigma Software
Initial release2015201120121999
Current release3.1.0, July 20206.8, April 20201.0.7075, December 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, Clojure
Server operating systemsLinuxLinux
OS X
All OS with a Java VMLinux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statements (CQL); Spark SQLnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP APIODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyes
TriggersyesBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"none infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights for users can be defined per objectnofine grained access rights according to SQL-standard
More information provided by the system vendor
Apache KylinDatastax EnterpriseDatomicValentina Server
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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More resources
Apache KylinDatastax EnterpriseDatomicValentina Server
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