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DBMS > Apache Kylin vs. Apache Pinot vs. Atos Standard Common Repository vs. Hawkular Metrics vs. SQL.JS

System Properties Comparison Apache Kylin vs. Apache Pinot vs. Atos Standard Common Repository vs. Hawkular Metrics vs. SQL.JS

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonApache Pinot  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSQL.JS  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Port of SQLite to JavaScript
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitekylin.apache.orgpinot.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.hawkular.orgsql.js.org
Technical documentationkylin.apache.org/­docsdocs.pinot.apache.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidesql.js.org/­documentation/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software Foundation and contributorsAtos Convergence CreatorsCommunity supported by Red HatAlon Zakai infoenhancements implemented by others
Initial release20152015201620142012
Current release3.1.0, July 20201.0.0, September 20231703
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaJavaJavaScript
Server operating systemsLinuxAll OS with a Java JDK11 or higherLinuxLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesSchema and schema-less with LDAP viewsschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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 indexesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languagenonoyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCLDAPHTTP RESTJavaScript API
Supported programming languagesGo
Java
Python
All languages with LDAP bindingsGo
Java
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnonono
Triggersyesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlLDAP bind authenticationnono

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More resources
Apache KylinApache PinotAtos Standard Common RepositoryHawkular MetricsSQL.JS
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