DBMS > Elasticsearch vs. etcd vs. Riak TS

System Properties Comparison Elasticsearch vs. etcd vs. Riak TS

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Editorial information provided by DB-Engines
Name	Elasticsearch  Xexclude from comparison	etcd  Xexclude from comparison	Riak TS  Xexclude from comparison
Description	A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric	A distributed reliable key-value store	Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database model	Search engine	Key-value store	Time Series DBMS
Secondary database models	Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 154.33 Rank #8   Overall #1   Search engines	Score 10.43 Rank #47   Overall #5   Key-value stores	Score 0.21 Rank #284   Overall #23   Time Series DBMS
Website	www.elastic.co/­elasticsearch	etcd.io github.com/­etcd-io/­etcd	riak.com/­products/­riak-ts
Technical documentation	www.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html	etcd.io/­docs github.com/­etcd-io/­etcd/­tree/­master/­Documentation
Developer	Elastic		Basho Technologies
Initial release	2010		2015
Current release	7.8.0, June 2020	3.4, August 2019
License Commercial or Open Source	Open Source Elastic License	Open Source Apache Version 2.0	Open Source
Cloud-based only Only available as a cloud service	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Go	Erlang
Server operating systems	All OS with a Java VM	FreeBSD Linux Windows experimental	Linux OS X
Data scheme	schema-free Flexible type definitions. Once a type is defined, it is persistent	schema-free	schema-free
Typing predefined data types such as float or date	yes	no	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.	no	no	no
Secondary indexes	yes All search fields are automatically indexed	no	restricted
SQL Support of SQL	SQL-like query language	no	no
APIs and other access methods	Java API RESTful HTTP/JSON API	gRPC JSON over HTTP	HTTP API Native Erlang Interface
Supported programming languages	.Net Groovy Community Contributed Clients Java JavaScript Perl PHP Python Ruby	.Net C C++ Clojure Erlang Go Haskell Java JavaScript (Node.js) Perl PHP Python R Ruby Rust Scala Tcl	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	JavaScript and Erlang
Triggers	yes by using the 'percolation' feature	yes, watching key changes	yes pre-commit hooks and post-commit hooks
Partitioning methods Methods for storing different data on different nodes	Sharding		Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.	selectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methods	ES-Hadoop Connector	no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all	Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	no links between datasets can be stored
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	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.	Memcached and Redis integration	no
User concepts Access control		no	no
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More resources
	Elasticsearch	etcd	Riak TS
DB-Engines blog posts	PostgreSQL is the DBMS of the Year 2017 2 January 2018, Paul Andlinger, Matthias Gelbmann Elasticsearch moved into the top 10 most popular database management systems 3 July 2017, Matthias Gelbmann MySQL, PostgreSQL and Redis are the winners of the March ranking 2 March 2016, Paul Andlinger show all