DBMS > Apache Drill vs. Atos Standard Common Repository vs. Riak TS vs. SpaceTime

System Properties Comparison Apache Drill vs. Atos Standard Common Repository vs. Riak TS vs. SpaceTime

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Editorial information provided by DB-Engines
Name	Apache Drill  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Riak TS  Xexclude from comparison	SpaceTime  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	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV	SpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database model	Document store Relational DBMS	Document store Key-value store	Time Series DBMS	Spatial DBMS
Secondary database models				Relational 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 0.28 Rank #307   Overall #27   Time Series DBMS	Score 0.03 Rank #392   Overall #8   Spatial DBMS
Website	drill.apache.org	atos.net/en/convergence-creators/portfolio/standard-common-repository		www.mireo.com/­spacetime
Technical documentation	drill.apache.org/­docs		www.tiot.jp/­riak-docs/­riak/­ts/­latest
Developer	Apache Software Foundation	Atos Convergence Creators	Open Source, formerly Basho Technologies	Mireo
Initial release	2012	2016	2015	2020
Current release	1.20.3, January 2023	1703	3.0.0, September 2022
License Commercial or Open Source	Open Source Apache Version 2	commercial	Open Source	commercial
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	Erlang	C++
Server operating systems	Linux OS X Windows	Linux	Linux OS X	Linux
Data scheme	schema-free	Schema and schema-less with LDAP views	schema-free	yes
Typing predefined data types such as float or date	yes	optional	no	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	no	yes	restricted	no
SQL Support of SQL	SQL SELECT statement is SQL:2003 compliant	no	yes, limited	A subset of ANSI SQL is implemented
APIs and other access methods	JDBC ODBC RESTful HTTP API	LDAP	HTTP API Native Erlang Interface	RESTful HTTP API
Supported programming languages	C++	All languages with LDAP bindings	C unofficial client library C# C++ unofficial client library Clojure unofficial client library Dart unofficial client library Erlang Go unofficial client library Groovy unofficial client library Haskell unofficial client library Java JavaScript unofficial client library Lisp unofficial client library Perl unofficial client library PHP Python Ruby Scala unofficial client library Smalltalk unofficial client library	C# C++ Python
Server-side scripts Stored procedures	user defined functions	no	Erlang	no
Triggers	no	yes	yes pre-commit hooks and post-commit hooks	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding cell division	Sharding	Fixed-grid hypercubes
Replication methods Methods for redundantly storing data on multiple nodes		yes	selectable replication factor	Real-time block device replication (DRBD)
MapReduce Offers an API for user-defined Map/Reduce methods	yes		yes	no
Consistency concepts Methods to ensure consistency in a distributed system	none	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no links between datasets can be stored	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	Atomic execution of specific operations	no	no
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	no	yes
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More resources
	Apache Drill	Atos Standard Common Repository	Riak TS	SpaceTime
Recent citations in the news	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 Eliminates ETL, Data Transformation for MapR Database 11 April 2016, The New Stack Drill Mines Diverse Data Sets, Google Style 20 May 2015, The Next Platform provided by Google News		New Basho Data Platform Provides Operational Simplicity for Enterprise Big Data Applications 7 June 2015, insideBIGDATA Best open source databases for IoT applications 26 May 2017, Open Source For You provided by Google News

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