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DBMS > Impala vs. Redis vs. Yanza

System Properties Comparison Impala vs. Redis vs. Yanza

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonRedis  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopIn-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.Time Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-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 storeDocument 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
Score15.15
Rank#37  Overall
#22  Relational DBMS
Score151.86
Rank#7  Overall
#1  Key-value stores
Score0.00
Rank#340  Overall
#31  Time Series DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlredis.ioyanza.com
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlredis.io/­documentation
DeveloperClouderaSalvatore Sanfilippo infoDevelopment sponsored by Redis LabsYanza
Initial release201320092015
Current release3.3.0, August 20196.0.8, September 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD 3-Clause, commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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 languageC++C
Server operating systemsLinuxBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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 infowith RediSearch moduleno
SQL infoSupport of SQLSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
proprietary protocol infoRESP - REdis Serialization ProtocolHTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
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
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceLuano
Triggersnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyes 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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosSimple password-based access control infoAccess control lists and SSL are available in the commercial versionno

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More resources
ImpalaRedisYanza
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Recent citations in the news

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Shark: Real-time queries and analytics for big data
26 November 2012, O'Reilly Radar

provided by Google News

Redis Labs' RedisRaft Aims to Improve Database Consistency
4 September 2020, thenewstack.io

Instaclustr Adds Support for Redis
16 September 2020, Database Trends and Applications

With $100 mil. round, database startup Redis Labs becomes unicorn
30 August 2020, The Jerusalem Post

Anjuna Announces Support for Redis
15 September 2020, PRNewswire

Ashnik extends open source services with Redis Labs partnership in Southeast Asia and India
24 September 2020, Taiwan News

provided by Google News

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