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DBMS > Altibase vs. Apache Kylin vs. Databricks

System Properties Comparison Altibase vs. Apache Kylin vs. Databricks

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Kylin  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Websitealtibase.comkylin.apache.orgwww.databricks.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualskylin.apache.org/­docsdocs.databricks.com
DeveloperAltibaseApache Software Foundation, originally contributed from eBay IncDatabricks
Initial release199920152013
Current releasev7.3, 2023, August 20233.1.0, July 2020
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsAIX
HP-UX
Linux
Linuxhosted
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI SQL-92ANSI SQL for queries (using Apache Calcite)with Databricks SQL
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsuser defined functions and aggregates
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standard
More information provided by the system vendor
AltibaseApache KylinDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AltibaseApache KylinDatabricks
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