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DBMS > Altibase vs. Apache Impala vs. Apache Kylin

System Properties Comparison Altibase vs. Apache Impala vs. Apache Kylin

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Impala  Xexclude from comparisonApache Kylin  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAnalytic DBMS for HadoopA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stack
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.18
Rank#172  Overall
#79  Relational DBMS
Websitealtibase.comimpala.apache.orgkylin.apache.org
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsimpala.apache.org/­impala-docs.htmlkylin.apache.org/­docs
DeveloperAltibaseApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation, originally contributed from eBay Inc
Initial release199920132015
Current releasev7.3, 2023, August 20234.1.0, June 20223.1.0, July 2020
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsAIX
HP-UX
Linux
LinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLANSI SQL-92SQL-like DML and DDL statementsANSI SQL for queries (using Apache Calcite)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresstored procedures and stored functionsyes infouser defined functions and integration of map-reduce
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
AltibaseApache ImpalaApache Kylin
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