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DBMS > Kinetica vs. Redis vs. searchxml

System Properties Comparison Kinetica vs. Redis vs. searchxml

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonRedis  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsIn-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.DBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceNative XML DBMS
Search engine
Secondary database modelsDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Spatial DBMS
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#190  Overall
#95  Relational DBMS
Score162.17
Rank#7  Overall
#1  Key-value stores
Score0.00
Rank#351  Overall
#7  Native XML DBMS
#19  Search engines
Websitewww.kinetica.comredis.iowww.searchxml.net/­category/­products
Technical documentationwww.kinetica.com/­docsredis.io/­documentationwww.searchxml.net/­support/­handouts
DeveloperKineticaSalvatore Sanfilippo infoDevelopment sponsored by Redis Labsinformationpartners gmbh
Initial release201220092015
Current release6.06.2.1 , March 20211.0
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3-Clause, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CC++
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 indexesyes
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.nonoyes
Secondary indexesyesyes infowith RediSearch moduleyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
proprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
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
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresuser defined functionsLuayes infoon the application server
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno infopublish/subscribe channels provide limited trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
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 infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsmultiple readers, single writer
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 infoGPU vRAM or System RAMyesno
User concepts infoAccess controlAccess rights for users and roles on table levelSimple password-based access control infoAccess control lists and SSL are available in the commercial versionDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
KineticaRedissearchxml
Specific characteristicsRedis, benchmarked as the world's fastest database, reduces application complexity,...
» more
Competitive advantagesRedis is an in-memory database platform offering native support of wide range of...
» more
Typical application scenariosRedis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
» more
Key customersVerizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Licensing and pricing modelsThe licensing model is subscription based. Redis Enterprise Cloud is priced according...
» more

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More resources
KineticaRedissearchxml
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Recent citations in the news

GPU Database Market Research & Clinical Advancements by 2028 | Kinetica, Blazegraph, Neo4j – KSU | The Sentinel Newspaper
8 May 2021, KSU | The Sentinel Newspaper

GPU Database Market Trends, Top Key Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox , Growth & Forecast Till 2025| Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox – Clark County Blog
11 May 2021, Clark County Blog

GPU Database Market Trends to Look Out For in 2021 – Kinetica, OmniSci, SQream, Neo4j – Clark County Blog
10 May 2021, Clark County Blog

Global GPU Database Market 2025: Top Key Players Graphistry, Kinetica, SQream, OmniSci, NVIDIA, Neo4j, Blazegraph and others – The Courier
5 May 2021, The Courier

GPU Database Market Research Studies Opportunity Analysis and Global Forecast to 2027: Graphistry,BlazingDB,Kinetica,SQream,Zilliz,OmniSci – Clark County Blog
10 May 2021, Clark County Blog

provided by Google News

Redis Labs unveils Redis Database 7.0
20 April 2021, ZDNet

Redis database gets strong consistency, AI inferencing and global speed – Blocks and Files
21 April 2021, Blocks and Files

Redis Labs previews future database and caching features
22 April 2021, TechTarget

Redis Offers Cloud Database Through AWS Marketplace, Supports Google Anthos GKE
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Redis Labs Launches Redis Database 7.0
21 April 2021, EnterpriseTalk

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