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DBMS > Apache Kylin vs. Axibase vs. Google BigQuery vs. Microsoft Access

System Properties Comparison Apache Kylin vs. Axibase vs. Google BigQuery vs. Microsoft Access

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonAxibase  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Access  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 HBase with integrated rule engine and visualizationLarge scale data warehouse service with append-only tablesMicrosoft 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.)
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitekylin.apache.orgaxibase.com/­docs/­atsd/­financecloud.google.com/­bigquerywww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationkylin.apache.org/­docscloud.google.com/­bigquery/­docsdeveloper.microsoft.com/­en-us/­access
DeveloperApache Software Foundation, originally contributed from eBay IncAxibase CorporationGoogleMicrosoft
Initial release2015201320101992
Current release3.1.0, July 2020155851902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinuxLinuxhostedWindows infoNot a real database server, but making use of DLLs
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languageyesyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
RESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptyes infosince Access 2010 using the ACE-engine
Triggersyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)no infoa simple user-level security was built in till version Access 2003

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More resources
Apache KylinAxibaseGoogle BigQueryMicrosoft Access
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