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DBMS > Apache Kylin vs. Datastax Enterprise vs. H2 vs. Quasardb

System Properties Comparison Apache Kylin vs. Datastax Enterprise vs. H2 vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonH2  Xexclude from comparisonQuasardb  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Distributed, high-performance timeseries database
Primary database modelRelational DBMSWide column storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitekylin.apache.orgwww.datastax.com/­products/­datastax-enterprisewww.h2database.comquasar.ai
Technical documentationkylin.apache.org/­docsdocs.datastax.comwww.h2database.com/­html/­main.htmldoc.quasar.ai/­master
DeveloperApache Software Foundation, originally contributed from eBay IncDataStaxThomas Muellerquasardb
Initial release2015201120052009
Current release3.1.0, July 20206.8, April 20202.2.220, July 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsLinuxLinux
OS X
All OS with a Java VMBSD
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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.nononono
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statements (CQL); Spark SQLyesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnowith Hadoop integration
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache KylinDatastax EnterpriseH2Quasardb
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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Apache KylinDatastax EnterpriseH2Quasardb
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