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Kensu

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10 reviews
  • 1 profiles
  • 2 categories
Average star rating
4.3
Serving customers since
2018

Profile Name

Star Rating

5
4
1
0
0

Kensu Reviews

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Profile Name
Star Rating
5
4
1
0
0
Sheina G.
SG
Sheina G.
Account Executive at Aircast Programmatic (Digital OOH)
04/26/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

For safer database, use Kensu.

What I like most about Kensu is that it makes me feel safe and secure my data. I will not worry if I get a problem because Kensu will take action before it hits everything and get worse.
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
04/26/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

Data Observability made easy with KENSU

We can easily monitor real-time data with this tool. It can be integrated with Oracle, Jupyter MongoDB, MySQL, and other databases which will help with data observability of the data.
MM
Madhusudhan M.
Developer at Tata Consultancy Services, Bangalore
04/18/2023
Validated Reviewer
Review source: G2 invite
Incentivized Review

"Integration made simple with Kensu"

Kensu helps to see the data in real time and reduces the time to solve the data issues in real time.The special thing about this is it can be integrated with MySQL, Oracle,MongoDB.

About

Contact

HQ Location:
San Francisco Bay Area, US

Social

@kensuio

What is Kensu?

Kensu is a data observability company that focuses on helping organizations ensure the reliability, efficiency, and quality of their data production pipelines. Its platform is designed to track data lineage and monitor data quality and data dependencies in real-time, helping data teams to manage and mitigate issues promptly. By providing comprehensive observability across multiple data infrastructures, Kensu enables businesses to maintain accurate data flows for analytics, machine learning models, and operational processes. Essentially, Kensu's tools empower data teams to proactively address data anomalies and inconsistencies, ensuring data reliability and boosting confidence in data-driven decisions.

Details

Year Founded
2018