DBMS > Elasticsearch vs. Hazelcast vs. Sphinx

System Properties Comparison Elasticsearch vs. Hazelcast vs. Sphinx

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

A distributed, RESTful modern search and analytics engine based on Apache Lucene info

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

Document store info

JSON support with IMDG 3.12

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	150.17
Rank	#7	Overall
	#1	Search engines

Score	7.71
Rank	#45	Overall
	#5	Key-value stores

Score	7.39
Rank	#47	Overall
	#5	Search engines

Website

www.elastic.co/products/elasticsearch

hazelcast.com

sphinxsearch.com

Technical documentation

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

hazelcast.org/documentation

sphinxsearch.com/docs

Developer

Elastic

Hazelcast

Sphinx Technologies Inc.

Initial release

2010

2008

2001

Current release

7.3.0, August 2019

3.12.2, August 2019

3.1.1, October 2018

License

Commercial or Open Source

Open Source info

Apache Version 2; Elastic License

Open Source info

Apache Version 2; commercial licenses available

Open Source info

GPL version 2, commercial licence available

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.

Implementation language

Java

C++

Server operating systems

All OS with a Java VM

FreeBSD
Linux
NetBSD
OS X
Solaris
Windows

Data scheme

schema-free info

Flexible type definitions. Once a type is defined, it is persistent

schema-free

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

the object must implement a serialization strategy

Secondary indexes

yes

All search fields are automatically indexed

yes

full-text index on all search fields

SQL

Support of SQL

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
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients

.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala

C++

unofficial client library
Java
Perl info

unofficial client library
PHP
Python
Ruby info

unofficial client library

Server-side scripts info

Stored procedures

yes

Event Listeners, Executor Services

Triggers

yes

by using the 'percolation' feature

yes

Events

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Partitioning is done manually, search queries against distributed index is supported

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Replicated Map

none

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency info

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 info

Raft Consensus Algorithm

Foreign keys info

Referential integrity

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

one or two-phase-commit; repeatable reads; read commited

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

The original contents of fields are not stored in the Sphinx index.

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

Memcached and Redis integration

yes

User concepts info

Access control

Role-based access control

More information provided by the system vendor

Specific characteristics

Elasticsearch is a highly scalable open source full-text search and analytics engine....
» more

Competitive advantages

Open source, real-time index, search and analysis, horizontally scalable, distributed,...
» more

Typical application scenarios

» more

Key customers

» more

Market metrics

More than 250 million cumulative downloads More than 100,000 community members in...
» more

Licensing and pricing models

The Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.