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DBMS > Apache Kylin vs. Apache Pinot vs. Atos Standard Common Repository vs. Google Cloud Firestore vs. Hawkular Metrics

System Properties Comparison Apache Kylin vs. Apache Pinot vs. Atos Standard Common Repository vs. Google Cloud Firestore vs. Hawkular Metrics

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonApache Pinot  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHawkular Metrics  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 networksCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Document storeTime Series 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
Score7.36
Rank#53  Overall
#9  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Websitekylin.apache.orgpinot.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryfirebase.google.com/­products/­firestorewww.hawkular.org
Technical documentationkylin.apache.org/­docsdocs.pinot.apache.orgfirebase.google.com/­docs/­firestorewww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software Foundation and contributorsAtos Convergence CreatorsGoogleCommunity supported by Red Hat
Initial release20152015201620172014
Current release3.1.0, July 20201.0.0, September 20231703
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaJava
Server operating systemsLinuxAll OS with a Java JDK11 or higherLinuxhostedLinux
OS X
Windows
Data schemeyesyesSchema and schema-less with LDAP viewsschema-freeschema-free
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 indexesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languagenonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCLDAPAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP REST
Supported programming languagesGo
Java
Python
All languages with LDAP bindingsGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsno
Triggersyesyes, with Cloud Functionsyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesno
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.noyesno
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
Apache KylinApache PinotAtos Standard Common RepositoryGoogle Cloud FirestoreHawkular Metrics
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