DBMS > Elasticsearch vs. Hazelcast vs. Sphinx

System Properties Comparison Elasticsearch vs. Hazelcast vs. Sphinx

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Editorial information provided by DB-Engines
Name	Elasticsearch  Xexclude from comparison	Hazelcast  Xexclude from comparison	Sphinx  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 widely adopted in-memory data grid	Open source search engine for searching in data from different sources, e.g. relational databases
Primary database model	Search engine	Key-value store	Search engine
Secondary database models	Document store Spatial DBMS	Document store JSON support with IMDG 3.12
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 154.33 Rank #8   Overall #1   Search engines	Score 10.15 Rank #48   Overall #6   Key-value stores	Score 7.29 Rank #60   Overall #8   Search engines
Website	www.elastic.co/­elasticsearch	hazelcast.com	sphinxsearch.com
Technical documentation	www.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html	hazelcast.org/­imdg/­docs	sphinxsearch.com/­docs
Developer	Elastic	Hazelcast	Sphinx Technologies Inc.
Initial release	2010	2008	2001
Current release	7.8.0, June 2020	5.1, March 2022	3.4.1, July 2021
License Commercial or Open Source	Open Source Elastic License	Open Source Apache Version 2; commercial licenses available	Open Source GPL version 2, commercial licence available
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	Java	C++
Server operating systems	All OS with a Java VM	All OS with a Java VM	FreeBSD Linux NetBSD OS X Solaris Windows
Data scheme	schema-free Flexible type definitions. Once a type is defined, it is persistent	schema-free	yes
Typing predefined data types such as float or date	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.	no	yes the object must implement a serialization strategy
Secondary indexes	yes All search fields are automatically indexed	yes	yes full-text index on all search fields
SQL Support of SQL	SQL-like query language	SQL-like query language	SQL-like query language (SphinxQL)
APIs and other access methods	Java API RESTful HTTP/JSON API	JCache JPA Memcached protocol RESTful HTTP API	Proprietary protocol
Supported programming languages	.Net Groovy Community Contributed Clients Java JavaScript Perl PHP Python Ruby	.Net C# C++ Clojure Go Java JavaScript (Node.js) Python Scala	C++ unofficial client library Java Perl unofficial client library PHP Python Ruby unofficial client library
Server-side scripts Stored procedures	yes	yes Event Listeners, Executor Services	no
Triggers	yes by using the 'percolation' feature	yes Events	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	Sharding Partitioning is done manually, search queries against distributed index is supported
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes Replicated Map	none
MapReduce Offers an API for user-defined Map/Reduce methods	ES-Hadoop Connector	yes	no
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 or Eventual Consistency selectable by user Raft Consensus Algorithm
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	one or two-phase-commit; repeatable reads; read commited	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes The original contents of fields are not stored in the Sphinx index.
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	Memcached and Redis integration	yes
User concepts Access control		Role-based access control	no
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More resources
	Elasticsearch	Hazelcast	Sphinx
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