DBMS > Apache Doris vs. Atos Standard Common Repository vs. BigObject vs. Hawkular Metrics

System Properties Comparison Apache Doris vs. Atos Standard Common Repository vs. BigObject vs. Hawkular Metrics

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Editorial information provided by DB-Engines
Name	Apache Doris  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	BigObject  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	An MPP-based analytics DBMS embracing the MySQL protocol	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Analytic DBMS for real-time computations and queries	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database model	Relational DBMS	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.60 Rank #247   Overall #113   Relational DBMS		Score 0.19 Rank #329   Overall #146   Relational DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS
Website	doris.apache.org github.com/­apache/­doris	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	www.hawkular.org
Technical documentation	github.com/­apache/­doris/­wiki		docs.bigobject.io	www.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer	Apache Software Foundation, originally contributed from Baidu	Atos Convergence Creators	BigObject, Inc.	Community supported by Red Hat
Initial release	2017	2016	2015	2014
Current release	1.2.2, February 2023	1703
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	commercial free community edition available	Open Source Apache 2.0
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
Server operating systems	Linux	Linux	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	Linux OS X Windows
Data scheme	yes	Schema and schema-less with LDAP views	yes	schema-free
Typing predefined data types such as float or date	yes	optional	yes	yes
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.	no	yes	no	no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	yes	no	SQL-like DML and DDL statements	no
APIs and other access methods	JDBC MySQL client	LDAP	fluentd ODBC RESTful HTTP API	HTTP REST
Supported programming languages	Java	All languages with LDAP bindings		Go Java Python Ruby
Server-side scripts Stored procedures	user defined functions	no	Lua	no
Triggers	no	yes	no	yes via Hawkular Alerting
Partitioning methods Methods for storing different data on different nodes	horizontal partitioning	Sharding cell division	none	Sharding based on Cassandra
Replication methods Methods for redundantly storing data on multiple nodes	none	yes	none	selectable replication factor based on Cassandra
MapReduce Offers an API for user-defined Map/Reduce methods	no		no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	none	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
Foreign keys Referential integrity	no	no	yes automatically between fact table and dimension tables	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 Read/write lock on objects (tables, trees)	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	yes	no
User concepts Access control	fine grained access rights according to SQL-standard	LDAP bind authentication	no	no
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More resources
	Apache Doris	Atos Standard Common Repository	BigObject	Hawkular Metrics
Recent citations in the news	Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB? 5 June 2024, hackernoon.com Workload Isolation in Apache Doris: Optimizing Resource Management and Performance 25 May 2024, hackernoon.com How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second 1 September 2023, KDnuggets Apache Doris just 'graduated': Why care about this SQL data warehouse 24 June 2022, InfoWorld Using Arrow Flight SQL Protocol in Apache Doris 2.1 For Super Fast Data Transfer 8 May 2024, hackernoon.com provided by Google News	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos 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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