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DBMS > Brytlyt vs. InfluxDB

System Properties Comparison Brytlyt vs. InfluxDB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDBMS for storing time series, events and metrics
Primary database modelRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#284  Overall
#129  Relational DBMS
Score18.00
Rank#34  Overall
#1  Time Series DBMS
Websitewww.brytlyt.comwww.influxdata.com/­time-series-platform/­influxdb
Technical documentationdocs.influxdata.com/­influxdb
DeveloperBrytlyt
Initial release20162013
Current release0.9, October 20161.7.6, April 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAGo
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Strings
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.no
Secondary indexesyesno
SQL infoSupport of SQLyesSQL-like query language
APIs and other access methodsnative C library
streaming API for large objects
ADO.NET
JDBC
ODBC
HTTP API
JSON over UDP
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engine
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accounts
More information provided by the system vendor
BrytlytInfluxDB
Specific characteristicsInfluxData includes the open source time-series database InfluxDB . It supports high...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
Market metricsFastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» 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
BrytlytInfluxDB
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Recent citations in the news

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

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

GPU Database Market PEST Analysis by 2027 with Top Companies – Blazegraph, BlazingDB, Brytlyt, Fuzzy Logix, Jedox, Kinetica DB, Neo4j, OmniSci, SQream Technologies, ZILLIZ
23 July 2019, The Market Research News

Brytlyt Partners with MariaDB to Integrate its GPU Database Technology for Real-time Analytics
26 February 2018, PR Newswire

+20% CAGR Achieved by GPU Database Market over Period 2019- 2026 with Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
25 June 2019, thewirenewsnow.com

provided by Google News

InfluxData Launches InfluxAces, Global Community Evangelist Program
1 July 2019, Yahoo Finance

ADLINK And Influx DB Deliver Operational Efficiency For Defense Industry With Edge IoT
27 June 2019, DevOps.com

Simplify Kubernetes in AWS with the Amazon EKS Service, Part 3: Dashboard and Components
10 July 2019, Virtualization Review

Why time series databases are exploding in popularity
26 June 2019, TechRepublic

Using Time Series for Full Observability of a SaaS Platform
2 July 2019, ADT Magazine

provided by Google News

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