DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Badger vs. Elasticsearch vs. Redis vs. TimescaleDB

System Properties Comparison Badger vs. Elasticsearch vs. Redis vs. TimescaleDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonElasticsearch  Xexclude from comparisonRedis  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeSearch engineKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#315  Overall
#46  Key-value stores
Score134.79
Rank#7  Overall
#1  Search engines
Score157.00
Rank#6  Overall
#1  Key-value stores
Score5.33
Rank#72  Overall
#4  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.elastic.co/­elasticsearchredis.com
redis.io
www.timescale.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.redis.com/­latest/­index.html
redis.io/­docs
docs.timescale.com
DeveloperDGraph LabsElasticRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.Timescale
Initial release2017201020092017
Current release8.6, January 20237.2.4, January 20242.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoElastic LicenseOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageGoJavaCC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Linux
OS X
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or datenoyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyes
Secondary indexesnoyes infoAll search fields are automatically indexedyes infowith RediSearch moduleyes
SQL infoSupport of SQLnoSQL-like query languagewith RediSQL moduleyes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RESTful HTTP/JSON API
proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo.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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesLua; Redis Functions coming in Redis 7 (slides and Github)user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infoby using the 'percolation' featurepublish/subscribe channels provide some trigger functionality; RedisGearsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectorthrough RedisGearsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of command blocks and scripts and optimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyesno
User concepts infoAccess controlnoAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
fine grained access rights according to SQL-standard

More information provided by the system vendor

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.

Related products and services
3rd partiesNavicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
» more

Redisson PRO: The ultra-fast Redis Java Client.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BadgerElasticsearchRedisTimescaleDB
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

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

MongoDB is the DBMS of the year, defending the title from last year
7 January 2015, Paul Andlinger, Matthias Gelbmann

show all

Recent citations in the news

Dgraph raises $11.5 million for scalable graph database solutions
31 July 2019, VentureBeat

provided by Google News

Introducing Elasticsearch Vector Database to Azure OpenAI Service On Your Data (Preview)
26 March 2024, GovTech

Elastic Announces 2023 Elastic Excellence Awards Winners
27 March 2024, Business Wire

ElasticSearch Goes Deep on OpenTelemetry with eBPF Donation
13 March 2024, The New Stack

Cribl forges strategic alliance with Elasticsearch for enhanced observability and AI integration
17 November 2023, SiliconANGLE News

AWS Elasticsearch Servers Host Malware
1 December 2023, Dark Reading

provided by Google News

Redis expands data management capabilities with Speedb acquisition – Blocks and Files
22 March 2024, Blocks & Files

Redis moves to source-available licenses
25 March 2024, InfoWorld

Redis acquires storage engine startup Speedb to enhance its open-source database
21 March 2024, SiliconANGLE News

Redis switches licenses, acquires Speedb to go beyond its core in-memory database
21 March 2024, TechCrunch

Redis tightens its license terms, pleasing basically no one
22 March 2024, The Register

provided by Google News

TimescaleDB Is a Vector Database Now, Too
25 September 2023, Datanami

Timescale Launches Dynamic PostgreSQL, the Cost-Effective Alternative to Serverless and Peak-Allocation Pay Models
6 November 2023, PR Newswire

Timescale Introduces Dynamic PostgreSQL, an Alternative to Serverless Databases
19 November 2023, InfoQ.com

Visualizing IoT Data at Scale With Hopara and TimescaleDB
16 May 2023, Embedded Computing Design

Power IoT and time-series workloads with TimescaleDB for Azure Database for PostgreSQL
18 March 2019, azure.microsoft.com

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here