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DBMS > Apache Kylin vs. Blueflood vs. Heroic vs. Microsoft Access vs. Splice Machine

System Properties Comparison Apache Kylin vs. Blueflood vs. Heroic vs. Microsoft Access vs. Splice Machine

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonBlueflood  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackScalable TimeSeries DBMS based on CassandraTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitekylin.apache.orgblueflood.iogithub.com/­spotify/­heroicwww.microsoft.com/­en-us/­microsoft-365/­accesssplicemachine.com
Technical documentationkylin.apache.org/­docsgithub.com/­rax-maas/­blueflood/­wikispotify.github.io/­heroicdeveloper.microsoft.com/­en-us/­accesssplicemachine.com/­how-it-works
DeveloperApache Software Foundation, originally contributed from eBay IncRackspaceSpotifyMicrosoftSplice Machine
Initial release20152013201419922014
Current release3.1.0, July 20201902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++Java
Server operating systemsLinuxLinux
OS X
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Data schemeyespredefined schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesnoyes infovia Elasticsearchyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoyes infobut not compliant to any SQL standardyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP RESTHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
DAO
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineyes infoJava
Triggersnonoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003Access rights for users, groups and roles according to SQL-standard

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More resources
Apache KylinBluefloodHeroicMicrosoft AccessSplice Machine
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