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DBMS > Apache Kylin vs. Bangdb vs. Kinetica vs. VoltDB

System Properties Comparison Apache Kylin vs. Bangdb vs. Kinetica vs. VoltDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonBangdb  Xexclude from comparisonKinetica  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackConverged and high performance database for device data, events, time series, document and graphFully vectorized database across both GPUs and CPUsDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#175  Overall
#80  Relational DBMS
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score1.46
Rank#159  Overall
#74  Relational DBMS
Websitekylin.apache.orgbangdb.comwww.kinetica.comwww.voltdb.com
Technical documentationkylin.apache.org/­docsdocs.bangdb.comdocs.kinetica.comdocs.voltdb.com
DeveloperApache Software Foundation, originally contributed from eBay IncSachin Sinha, BangDBKineticaVoltDB Inc.
Initial release2015201220122010
Current release3.1.0, July 2020BangDB 2.0, October 20217.1, August 202111.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3commercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C, C++Java, C++
Server operating systemsLinuxLinuxLinuxLinux
OS X infofor development
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL like support with command line toolSQL-like DML and DDL statementsyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
C++
Java
JavaScript (Node.js)
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsJava
Triggersyes, Notifications (with Streaming only)yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyes infoGPU vRAM or System RAM
User concepts infoAccess controlyes (enterprise version only)Access rights for users and roles on table levelUsers and roles with access to stored procedures

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More resources
Apache KylinBangdbKineticaVoltDB
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