DBMS > Amazon Aurora vs. Drizzle vs. GeoSpock vs. Riak TS

System Properties Comparison Amazon Aurora vs. Drizzle vs. GeoSpock vs. Riak TS

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Editorial information provided by DB-Engines
Name	Amazon Aurora  Xexclude from comparison	Drizzle  Xexclude from comparison	GeoSpock  Xexclude from comparison	Riak TS  Xexclude from comparison
		Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
Description	MySQL and PostgreSQL compatible cloud service by Amazon	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Spatial and temporal data processing engine for extreme data scale	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database model	Relational DBMS	Relational DBMS	Relational DBMS	Time Series DBMS
Secondary database models	Document store		Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 12.86 Rank #45   Overall #29   Relational DBMS		Score 0.13 Rank #304   Overall #140   Relational DBMS	Score 0.21 Rank #284   Overall #23   Time Series DBMS
Website	aws.amazon.com/­rds/­aurora		geospock.com	riak.com/­products/­riak-ts
Technical documentation	docs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.html		docs.geospock.com/­Content/­Home.htm
Developer	Amazon	Drizzle project, originally started by Brian Aker	GeoSpock	Basho Technologies
Initial release	2015	2008		2015
Current release		7.2.4, September 2012	2.0, September 2019
License Commercial or Open Source	commercial	Open Source GNU GPL	commercial	Open Source
Cloud-based only Only available as a cloud service	yes	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C++	Java, Javascript	Erlang
Server operating systems	hosted	FreeBSD Linux OS X	hosted	Linux OS X
Data scheme	yes	yes	yes	schema-free
Typing predefined data types such as float or date	yes	yes	yes	no
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	no
Secondary indexes	yes	yes	temporal, categorical	restricted
SQL Support of SQL	yes	yes with proprietary extensions	ANSI SQL for query only (using Presto)	no
APIs and other access methods	ADO.NET JDBC ODBC	JDBC	JDBC	HTTP API Native Erlang Interface
Supported programming languages	Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	C C++ Java PHP		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
Server-side scripts Stored procedures	yes	no	no	JavaScript and Erlang
Triggers	yes	no hooks for callbacks inside the server can be used.	no	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	horizontal partitioning	Sharding	Automatic sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	Multi-source replication Source-replica replication		selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency		Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	yes	yes	no	no links between datasets can be stored
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	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.	yes		no
User concepts Access control	fine grained access rights according to SQL-standard	Pluggable authentication mechanisms e.g. LDAP, HTTP	Access rights for users can be defined per table	no
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More resources
	Amazon Aurora	Drizzle	GeoSpock	Riak TS
DB-Engines blog posts	Cloud-based DBMS's popularity grows at high rates 12 December 2019, Paul Andlinger The popularity of cloud-based DBMSs has increased tenfold in four years 7 February 2017, Matthias Gelbmann Amazon - the rising star in the DBMS market 3 August 2015, Matthias Gelbmann show all	MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, Matthias Gelbmann show all