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DBMS > Badger vs. Redis vs. Teradata vs. TimescaleDB

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonRedis  Xexclude from comparisonTeradata  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Popular 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 hybrid cloud data analytics software platform (Teradata Vantage)A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceRelational DBMSTime Series DBMS
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#300  Overall
#43  Key-value stores
Score173.54
Rank#6  Overall
#1  Key-value stores
Score70.29
Rank#18  Overall
#12  Relational DBMS
Score4.38
Rank#81  Overall
#5  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerredis.com
redis.io
www.teradata.comwww.timescale.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.redis.com/­latest/­index.html
redis.io/­documentation
docs.teradata.comdocs.timescale.com
DeveloperDGraph LabsRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis LabsTeradataTimescale
Initial release2017200919842017
Current release6.2.6, October 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infosource-available extensions (modules), commercial licenses for Redis EnterprisecommercialOpen 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.
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Implementation languageGoCC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
hosted
Linux
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesnumerics, 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.nonoyesyes
Secondary indexesnoyes infowith RediSearch moduleyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnonoyes infoSQL 2016 + extensionsyes infofull PostgreSQL SQL syntax
APIs and other access methodsproprietary protocol infoRESP - REdis Serialization Protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGoC
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
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoLua; Redis Functions coming in Redis 7 (slides and Github)yes infoUDFs, stored procedures, table functions in paralleluser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnopublish/subscribe channels provide some trigger functionality; RedisGearsyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingSharding infoHashingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
Multi-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnothrough RedisGearsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scripts and optimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnoAccess Control Lists (ACLs): redis.io/­topics/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­topics/­encryption
Password-based authentication
fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerRedisTeradataTimescaleDB
Specific characteristicsThe Redis real-time data platform builds upon the unmatched simplicity and speed...
» more
Competitive advantagesRedis Enterprise is a robust in-memory database platform built by the people who...
» more
Typical application scenariosRedis Enterprise is used by large enterprise, startup, and government organizations...
» more
Key customersVerizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Market metricsMost launched Docker container per day according to Docker Hub (7.2M launches per...
» more
Licensing and pricing modelsRedis Enterprise Cloud lets users scale up and down instantly, and pay only for the...
» more

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More resources
BadgerRedisTeradataTimescaleDB
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