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DBMS > Apache Kylin vs. Atos Standard Common Repository vs. BoltDB vs. FoundationDB vs. Hawkular Metrics

System Properties Comparison Apache Kylin vs. Atos Standard Common Repository vs. BoltDB vs. FoundationDB vs. Hawkular Metrics

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBoltDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn embedded key-value store for Go.Ordered key-value store. Core features are complimented by layers.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMSDocument store
Key-value store
Key-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Websitekylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­boltdb/­boltgithub.com/­apple/­foundationdbwww.hawkular.org
Technical documentationkylin.apache.org/­docsapple.github.io/­foundationdbwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperApache Software Foundation, originally contributed from eBay IncAtos Convergence CreatorsFoundationDBCommunity supported by Red Hat
Initial release20152016201320132014
Current release3.1.0, July 202017036.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC++Java
Server operating systemsLinuxLinuxBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsschema-freeschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateyesoptionalnono infosome layers support typingyes
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.noyesnono
Secondary indexesyesyesnonono
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonosupported in specific SQL layer onlyno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAPHTTP REST
Supported programming languagesAll languages with LDAP bindingsGo.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoin SQL-layer onlyno
Triggersyesnonoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnoneLinearizable consistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlLDAP bind authenticationnonono

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More resources
Apache KylinAtos Standard Common RepositoryBoltDBFoundationDBHawkular Metrics
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