DBMS > Elasticsearch vs. Microsoft Azure Search vs. Redis

System Properties Comparison Elasticsearch vs. Microsoft Azure Search vs. Redis

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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

Search-as-a-service for web and mobile app development

In-memory data structure store, used as database, cache and message broker info

Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.

Primary database model

Search engine

Key-value store info

Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence

Secondary database models

Document store

Document store info

with Redis Modules
Graph DBMS info

with Redis Modules
Search engine info

with Redis Modules
Time Series DBMS info

with Redis Modules

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

Score	151.59
Rank	#7	Overall
	#1	Search engines

Score	6.55
Rank	#54	Overall
	#5	Search engines

Score	150.05
Rank	#8	Overall
	#1	Key-value stores

Website

www.elastic.co/elasticsearch

azure.microsoft.com/en-us/services/search

redis.io

Technical documentation

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

docs.microsoft.com/en-us/azure/search

redis.io/documentation

Developer

Elastic

Microsoft

Salvatore Sanfilippo info

Development sponsored by Redis Labs

Initial release

2010

2015

2009

Current release

7.7.0, May 2020

6.0.5, June 2020

License

Commercial or Open Source

Open Source info

Apache Version 2; Elastic License

commercial

Open Source info

BSD 3-Clause, commercial license available

Cloud-based only info

Only available as a cloud service

yes

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, GCP and Azure that's powered by the creators of Elasticsearch.

ScaleGrid for Redis: Fully managed hosting for Redis on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.

Implementation language

Java

Server operating systems

All OS with a Java VM

hosted

BSD
Linux
OS X
Windows info

ported and maintained by Microsoft Open Technologies, Inc.

Data scheme

schema-free info

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

yes

schema-free

Typing

predefined data types such as float or date

yes

partial

Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes

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.

Secondary indexes

yes

All search fields are automatically indexed

yes

with RediSearch module

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Java API
RESTful HTTP/JSON API

RESTful HTTP API

proprietary protocol info

RESP - REdis Serialization Protocol

Supported programming languages

.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby

.Net
C#

C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic

Server-side scripts info

Stored procedures

yes

Lua

Triggers

yes

by using the 'percolation' feature

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Master-slave replication info

Chained replication is supported
Multi-master replication info

with Redis Enterprise Pack

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

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

Eventual Consistency
Strong eventual consistency with CRDTs

Foreign keys info

Referential integrity

Transaction concepts info

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

Optimistic locking, atomic execution of commands blocks and scripts

Concurrency info

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability info

Support for making data persistent

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

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

yes

using Azure authentication

Simple password-based access control info

Access control lists and SSL are available in the commercial version

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

Search, logging, security, metrics, maps and business analytics use cases.
» more

Key customers

» more

Market metrics

More than 400 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...
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.