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InfluxData

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102 reviews
  • 1 profiles
  • 4 categories
Average star rating
4.5
#1 in 1 categories
Grid® leader
Serving customers since
2012
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InfluxData Reviews

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Profile Name
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72
24
5
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0
Verified User in Information Services
UI
Verified User in Information Services
03/21/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

Useful

It is a very complete and useful tool for IoT building
Vikash K.
VK
Vikash K.
Intern at Lincode India || Front-End Developer || GFG Content Writter || 3* at CodeChef || Campus CP Lead | GSSOC
03/15/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

Best Db for High end usage

The influxdb is best in its performance and how it deals with a complex queries, resulting in a very faster response. The DB in performance is really great. This is one of the best Db.
Avinash S.
AS
Avinash S.
ꜰᴏᴜɴᴅɪɴɢ ᴍᴇᴍʙᴇʀ ᴏꜰ ɴᴠɪꜱɪᴏɴᴜ
03/14/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

Excellent DB for storing Time Based Data

It might be the best DB for storing time series data because it can hold large amounts of time series data in nano-seconds. System performance is excellent, and it's easy to deploy.

About

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HQ Location:
San Francisco, California

Social

@InfluxData

What is InfluxData?

InfluxData specializes in real-time data collection, processing, and visualization, catering primarily to developers and enterprises. The core offering from InfluxData is the InfluxDB platform, a time series database designed to handle high write and query loads, making it ideal for applications in areas such as monitoring metrics, real-time analytics, and Internet of Things (IoT) sensor data. The platform’s capabilities allow for efficient data storage and retrieval, supporting a range of use cases from performance monitoring to real-time analytics. Alongside InfluxDB, InfluxData offers a suite of tools and services including Telegraf for data collection, Chronograf for visualization and dashboarding, and Kapacitor for real-time streaming data processing.InfluxData focuses on delivering a seamless and scalable experience for handling time-series data, providing customers with tools that are both powerful and user-friendly.

Details

Year Founded
2012