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DBMS > Apache Kylin vs. Google Cloud Bigtable vs. Hawkular Metrics vs. IBM Db2

System Properties Comparison Apache Kylin vs. Google Cloud Bigtable vs. Hawkular Metrics vs. IBM Db2

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Common in IBM host environments, 2 different versions for host and Windows/Linux
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDB
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Websitekylin.apache.orgcloud.google.com/­bigtablewww.hawkular.orgwww.ibm.com/­products/­db2
Technical documentationkylin.apache.org/­docscloud.google.com/­bigtable/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.ibm.com/­docs/­en/­db2
DeveloperApache Software Foundation, originally contributed from eBay IncGoogleCommunity supported by Red HatIBM
Initial release2015201520141983 infohost version
Current release3.1.0, July 202012.1, October 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial infofree version is available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++
Server operating systemsLinuxhostedLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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)nonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP RESTADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnonoyes
Triggersnoyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on Cassandrayes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standard

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More resources
Apache KylinGoogle Cloud BigtableHawkular MetricsIBM Db2 infoformerly named DB2 or IBM Database 2
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