DBMS > BoltDB vs. Elasticsearch vs. Redis

System Properties Comparison BoltDB vs. Elasticsearch vs. Redis

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Editorial information provided by DB-Engines

Name

Description

An embedded key-value store for Go.

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

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

Key-value store

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	0.58
Rank	#210	Overall
	#36	Key-value stores

Score	152.32
Rank	#8	Overall
	#1	Search engines

Score	152.87
Rank	#7	Overall
	#1	Key-value stores

Website

github.com/boltdb/bolt

www.elastic.co/elasticsearch

redis.io

Technical documentation

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

redis.io/documentation

Developer

Elastic

Salvatore Sanfilippo info

Development sponsored by Redis Labs

Initial release

2013

2010

2009

Current release

7.8.0, June 2020

6.0.6, July 2020

License

Commercial or Open Source

Open Source info

MIT License

Open Source info

Apache Version 2; Elastic License

Open Source info

BSD 3-Clause, commercial license 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 Amazon Web Services, Google Cloud and Microsoft 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

BSD
Linux
OS X
Solaris
Windows

All OS with a Java VM

BSD
Linux
OS X
Windows info

ported and maintained by Microsoft Open Technologies, Inc.

Data scheme

schema-free

schema-free info

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

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

proprietary protocol info

RESP - REdis Serialization Protocol

Supported programming languages

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

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

none

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

none

yes

Multi-source replication info

with Redis Enterprise Pack
Source-replica replication info

Chained replication is supported

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

Consistency concepts info

Methods to ensure consistency in a distributed system

none

Eventual Consistency info

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

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

yes

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

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 an open source search and analytics engine. As the heart of the...
» more

Competitive advantages

Open source Real-time indexsearch, and analysis Horizontally scalable Distributed...
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Typical application scenarios

Enterprise search (search experiences for your workplace, apps, and websites), observability...
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Key customers

Thousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
» more

Market metrics

Public as of October 2018 Distributed workforce with 1900+ employees around the globe...
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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.