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DBMS > Netezza vs. Redis vs. Rockset

System Properties Comparison Netezza vs. Redis vs. Rockset

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRedis  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsPopular 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 scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceDocument store
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.82
Rank#36  Overall
#22  Relational DBMS
Score171.94
Rank#6  Overall
#1  Key-value stores
Score0.56
Rank#229  Overall
#35  Document stores
Websitewww.ibm.com/­products/­netezzaredis.com
redis.io
rockset.com
Technical documentationdocs.redis.com/­latest/­index.html
redis.io/­documentation
docs.rockset.com
DeveloperIBMRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis LabsRockset
Initial release200020092019
Current release6.2.5, July 2021
License infoCommercial or Open SourcecommercialOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprisecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemsLinux infoincluded in applianceBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
hosted
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 indexesdynamic typing
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.nono infoingestion from XML files supported
Secondary indexesyesyes infowith RediSearch moduleall fields are automatically indexed
SQL infoSupport of SQLyesnoRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
OLE DB
proprietary protocol infoRESP - REdis Serialization ProtocolHTTP REST
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
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
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesLua; Redis Functions coming in Redis 7 (slides and Github)no
Triggersnopublish/subscribe channels provide some trigger functionality; RedisGearsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesthrough RedisGearsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scripts and optimistic lockingno
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.yes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess 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
Access rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Netezza infoAlso called PureData System for Analytics by IBMRedisRockset
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Netezza infoAlso called PureData System for Analytics by IBMRedisRockset
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Recent citations in the news

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

IBM's New Deal: What the Heck is Netezza?
20 September 2010, Wall Street Journal

Yellowbrick shows that its data warehouse is not smoke and mirrors
29 April 2021, ZDNet

IBM to Acquire Netezza for $1.78 Billion
20 September 2010, Wall Street Journal

provided by Google News

Amazon Releases MemoryDB For Redis
2 September 2021, iProgrammer

'Worst' AWS service ever? Cloud giant introduces Redis-compatible MemoryDB – to mixed response
23 August 2021, The Register

HUAWEI CLOUD GaussDB(for Redis) Releases Version with Dual Updates
19 September 2021, ACROFAN USA

AWS Announces the General Availability of Amazon MemoryDB for Redis
24 August 2021, InfoQ.com

AWS Intros Amazon MemoryDB for Redis
25 August 2021, The Fast Mode

provided by Google News

Did Rockset Just Solve Real-Time Analytics?
25 August 2021, Datanami

Rockset hopes to lessen streaming analytics time-suck by having SQL transform live data
27 August 2021, The Register

Data democracy rules: Rockset's SQL-based rollups focus on fast, efficient access to real-time streaming analytics
14 September 2021, SiliconANGLE News

Rockset Releases Rollups for Up To 100X More Cost-Effective Real-Time Analytics on Streaming Data
25 August 2021, GlobeNewswire

"Rockset is on a mission to deliver fast and flexible real-time analytics"
10 September 2021, JAXenter

provided by Google News

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