DBMS > Apache Drill vs. Atos Standard Common Repository vs. OushuDB vs. Postgres-XL

System Properties Comparison Apache Drill vs. Atos Standard Common Repository vs. OushuDB vs. Postgres-XL

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Editorial information provided by DB-Engines
Name	Apache Drill  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	OushuDB  Xexclude from comparison	Postgres-XL  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database model	Document store Relational DBMS	Document store Key-value store	Relational DBMS	Relational DBMS
Secondary database models				Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.02 Rank #124   Overall #22   Document stores #59   Relational DBMS		Score 0.10 Rank #355   Overall #154   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	drill.apache.org	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.oushu.com/­product/­oushuDB	www.postgres-xl.org
Technical documentation	drill.apache.org/­docs		www.oushu.com/­documentation	www.postgres-xl.org/­documentation
Developer	Apache Software Foundation	Atos Convergence Creators	Oushu
Initial release	2012	2016		2014 since 2012, originally named StormDB
Current release	1.20.3, January 2023	1703	4.0.1, August 2020	10 R1, October 2018
License Commercial or Open Source	Open Source Apache Version 2	commercial	commercial	Open Source Mozilla public license
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		C
Server operating systems	Linux OS X Windows	Linux	Linux	Linux macOS
Data scheme	schema-free	Schema and schema-less with LDAP views	yes	yes
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		yes XML type, but no XML query functionality
Secondary indexes	no	yes	yes	yes
SQL Support of SQL	SQL SELECT statement is SQL:2003 compliant	no	Full-featured ANSI SQL support	yes distributed, parallel query execution
APIs and other access methods	JDBC ODBC RESTful HTTP API	LDAP	JDBC ODBC	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	C++	All languages with LDAP bindings	C C++	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	user defined functions	no	yes	user defined functions
Triggers	no	yes	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding cell division	yes	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes		yes
MapReduce Offers an API for user-defined Map/Reduce methods	yes		Hadoop integration	no
Consistency concepts Methods to ensure consistency in a distributed system	none	Immediate Consistency or Eventual Consistency depending on configuration		Immediate Consistency
Foreign keys Referential integrity	no	no		yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	Atomic execution of specific operations	ACID	ACID MVCC
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	Depending on the underlying data source	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	Depending on the underlying data source	yes		no
User concepts Access control	Depending on the underlying data source	LDAP bind authentication	Kerberos, SSL and role based access	fine grained access rights according to SQL-standard
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More resources
	Apache Drill	Atos Standard Common Repository	OushuDB	Postgres-XL
Recent citations in the news	MapR to Speak on Stream Processing Systems, Apache Spark and Drill at Industry Events in January 31 May 2024, Yahoo Movies UK Apache Drill vs. Apache Spark — Which SQL query engine is better for you? 23 September 2019, Towards Data Science Apache Drill case study: A tutorial on processing CSV files 9 June 2016, TheServerSide.com Apache Drill Poised to Crack Tough Data Challenges 19 May 2015, Datanami Apache Drill improves big data SQL query engine 31 August 2021, TechTarget provided by Google News	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	China's answer to Snowflake is shaping as data demands upgrade 8 September 2021, PingWest provided by Google News

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