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DBMS > Druid vs. PouchDB vs. Redis

System Properties Comparison Druid vs. PouchDB vs. Redis

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonPouchDB  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataJavaScript DBMS with an API inspired by CouchDBIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelRelational DBMS
Time Series DBMS
Document storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.05
Rank#120  Overall
#58  Relational DBMS
#8  Time Series DBMS
Score3.20
Rank#89  Overall
#16  Document stores
Score150.05
Rank#8  Overall
#1  Key-value stores
Websitedruid.apache.orgpouchdb.comredis.io
Technical documentationdruid.apache.org/­docs/­latest/­designpouchdb.com/­guidesredis.io/­documentation
DeveloperMetamarkets Group and contributorsApache Software FoundationSalvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release201220122009
Current release7.1.1, June 20196.0.5, June 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open SourceOpen Source infoBSD 3-Clause, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC
Server operating systemsLinux
OS X
Unix
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyes infoschema-less columns are supportedschema-freeschema-free
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.nonono
Secondary indexesyesyes infovia viewsyes infowith RediSearch module
SQL infoSupport of SQLSQL support via Apache Calcite adapternono
APIs and other access methodsJSON over HTTPHTTP REST infoonly for PouchDB Server
JavaScript API
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaScriptC
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 infoStored proceduresnoView functions in JavaScriptLua
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMaster-master replication infoalso with CouchDB databases
Master-slave replication infoalso with CouchDB databases
Master-slave replication infoChained replication is supported
Multi-master replication infowith Redis Enterprise Pack
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlno infoavailable via extensionsnoSimple password-based access control infoAccess control lists and SSL are available in the commercial version

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More resources
DruidPouchDBRedis
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Recent citations in the news

Introducing Apache Druid
17 January 2020, insideBIGDATA

Druid Developer Expands Query Options
17 April 2020, Datanami

Druid Developer Ramps Cloud-Native Approach
10 December 2019, Datanami

Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance
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2 July 2020, ZDNet

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21 June 2020, IDG Connect

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8 July 2020, iProgrammer

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