DBMS > Apache Pinot vs. Atos Standard Common Repository vs. Hawkular Metrics vs. STSdb

System Properties Comparison Apache Pinot vs. Atos Standard Common Repository vs. Hawkular Metrics vs. STSdb

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Editorial information provided by DB-Engines
Name	Apache Pinot  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	STSdb  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Key-Value Store with special method for indexing optimized for high performance using a special indexing method
Primary database model	Relational DBMS	Document store Key-value store	Time Series DBMS	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.38 Rank #275   Overall #126   Relational DBMS		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.10 Rank #357   Overall #51   Key-value stores
Website	pinot.apache.org	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	github.com/­STSSoft/­STSdb4
Technical documentation	docs.pinot.apache.org		www.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer	Apache Software Foundation and contributors	Atos Convergence Creators	Community supported by Red Hat	STS Soft SC
Initial release	2015	2016	2014	2011
Current release	1.0.0, September 2023	1703		4.0.8, September 2015
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	Open Source Apache 2.0	Open Source GPLv2, commercial license available
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	Java	C#
Server operating systems	All OS with a Java JDK11 or higher	Linux	Linux OS X Windows	Windows
Data scheme	yes	Schema and schema-less with LDAP views	schema-free	yes
Typing predefined data types such as float or date	yes	optional	yes	yes primitive types and user defined types (classes)
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.		yes	no
Secondary indexes		yes	no	no
SQL Support of SQL	SQL-like query language	no	no	no
APIs and other access methods	JDBC	LDAP	HTTP REST	.NET Client API
Supported programming languages	Go Java Python	All languages with LDAP bindings	Go Java Python Ruby	C# Java
Server-side scripts Stored procedures		no	no	no
Triggers		yes	yes via Hawkular Alerting	no
Partitioning methods Methods for storing different data on different nodes	horizontal partitioning	Sharding cell division	Sharding based on Cassandra	none
Replication methods Methods for redundantly storing data on multiple nodes		yes	selectable replication factor based on Cassandra	none
MapReduce Offers an API for user-defined Map/Reduce methods			no	no
Consistency concepts Methods to ensure consistency in a distributed system		Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
Foreign keys Referential integrity		no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data		Atomic execution of specific operations	no	no
Concurrency Support for concurrent manipulation of data		yes	yes	yes
Durability Support for making data persistent		yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes	no
User concepts Access control		LDAP bind authentication	no	no
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More resources
	Apache Pinot	Atos Standard Common Repository	Hawkular Metrics	STSdb
Recent citations in the news	StarTree broadly enhances Apache Pinot-based analytics platform 8 May 2024, SiliconANGLE News StarTree Finds Apache Pinot the Right Vintage for IT Observability 8 May 2024, Datanami Real-Time Analytics for Mobile App Crashes using Apache Pinot 2 November 2023, Uber Apache Pinot - SD Times Open Source Project of the Week 31 May 2024, SDTimes.com Open source Apache Pinot advances as StarTree boosts real-time analytics and observability 8 May 2024, VentureBeat provided by Google News		Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News

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