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DBMS > Brytlyt vs. Kinetica vs. Redis

System Properties Comparison Brytlyt vs. Kinetica vs. Redis

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonKinetica  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLGPU-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.
Primary database modelRelational DBMSRelational DBMSKey-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
Score0.11
Rank#279  Overall
#129  Relational DBMS
Score0.56
Rank#199  Overall
#96  Relational DBMS
Score145.24
Rank#8  Overall
#1  Key-value stores
Websitewww.brytlyt.comwww.kinetica.comredis.io
Technical documentationwww.kinetica.com/­docsredis.io/­documentation
DeveloperBrytlytKineticaSalvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release201620122009
Current release0.9, October 20166.05.0.6, September 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD 3-Clause, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC, C++C
Server operating systemsLinux
OS X
Windows
LinuxBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyespartial 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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyes infowith RediSearch module
SQL infoSupport of SQLyesSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
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
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functionsLua
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationMaster-slave replication infoChained replication is supported
Multi-master replication infowith Redis Enterprise Pack
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes 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.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelSimple password-based access control infoAccess control lists and SSL are available in the commercial version
More information provided by the system vendor
BrytlytKineticaRedis
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesScaleGrid: Fully managed Redis-as-a-Service in the cloud.
» more

Redis Labs is the open source home and the provider of enterprise-class Redis.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BrytlytKineticaRedis
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Recent citations in the news

GPU Database Market Top companies- Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB, Zilliz
17 November 2019, Zion Market Research News

Graphics Processing Unit Database Market Provides An In-Depth Insight Of Sales Analysis| Zilliz, Brytlyt, Jedox AG
14 November 2019, 5Gigs News

Brytlyt Makes Ground-breaking Progress on the TPC-H Benchmark
17 April 2019, PRNewswire

Brytlyt Release Version 3.0 of the World's Fastest GPU Database
4 March 2019, PRNewswire

Graphics Processing Unit Database Market 2019|by Top Key Players- Zilliz, Brytlyt, Jedox AG
6 November 2019, TheLoop21

provided by Google News

Kinetica Active Analytics Platform Incorporates NVIDIA RAPIDS for Predictive Analytics
13 November 2019, Database Trends and Applications

Kinetica Active Analytics Platform Releases Out-of-Box Support for NVIDIA RAPIDS, Delivering Massive Performance Boost to Predictive Data Analytics
5 November 2019, Yahoo Finance

GPU Database Market Top companies- Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB, Zilliz
17 November 2019, Zion Market Research News

Kinetica Collaborates with NVIDIA to Serve Real-time Data-driven Insights
6 November 2019, MarTech Advisor

Kinetica opens Melbourne office, bullish on data analytics
23 October 2019, ComputerWeekly.com

provided by Google News

Redis Labs Boosts Data Visualization, Cluster Recovery
15 November 2019, Datanami

Redis Labs eases database management with RedisInsight
18 November 2019, TechTarget

Redis Labs Leverages Kubernetes to Automate Database Recovery
13 November 2019, Container Journal

Redis Labs Delivers New Innovations to Radically Simplify the Complete Redis Lifecycle From Development to Operations
12 November 2019, Business Wire

Redis Labs goes Google Cloud, Graph, and other interesting places
24 October 2019, ZDNet

provided by Google News

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