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DBMS > Brytlyt vs. InfluxDB

System Properties Comparison Brytlyt vs. InfluxDB

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Our visitors often compare Brytlyt and InfluxDB with OmniSci, Ignite and Microsoft SQL Server.

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
Score0.32
Rank#260  Overall
#119  Relational DBMS
Score24.15
Rank#28  Overall
#1  Time Series DBMS
Websitewww.brytlyt.comwww.influxdata.com/­products/­influxdb-overview
Technical documentationdocs.influxdata.com/­influxdb
DeveloperBrytlyt
Initial release20162013
Current release0.9, October 20161.8.0, April 2020
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 methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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 nodesSource-replica 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 is the creator of InfluxDB , the open source time series database. It...
» 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 has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» 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
DB-Engines blog posts

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Recent citations in the news

Brytlyt Welcomes John McAdam as Chairman of the Board
20 October 2020, PRNewswire

Global GPU Database Market Insights 2019-2024 || Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai & more
23 October 2020, Zenit News

Global GPU Database Market 2020 By Size Development Trends, Competitive Landscape by Top Key Players:- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda
27 October 2020, TechnoWeekly

Global GPU Database Market 2020 Growth Analysis and Massive Trends by Premium-Insight Players:- Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt, BlazingDB, Zilliz, SQream, Jedox, HeteroDB, Blazegraph, H2O.ai, FASTDATA.io, Fuzzy Logix, Graphistry
26 October 2020, Eurowire

Brytlyt Secures Series A to Turbocharge Real-Time Data Analytics
20 May 2020, PRNewswire

provided by Google News

How IBM's Massive POWER9 UNIX Servers Benefit from InfluxDB & Grafana
20 October 2020, DevOps.com

Design an Edge System for the Cloud Native Edge Infrastructure
2 October 2020, thenewstack.io

Amazon Timestream database is now generally available
1 October 2020, ZDNet

Why You Should Migrate from SQL to NoSQL for Time Series Data
6 October 2020, JAXenter

Reasons to switch to the InfluxDB time-series database, explored
25 August 2020, TechHQ

provided by Google News

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