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About

Kensu monitors the end-to-end quality of data usage in real time so your team can easily prevent data incidents. It is more important to understand what you do with your data than the data itself. Analyze data quality and lineage through a single comprehensive view. Get real-time insights about data usage across all your systems, projects, and applications. Monitor data flow instead of the ever-increasing number of repositories. Share lineages, schemas and quality info with catalogs, glossaries, and incident management systems. At a glance, find the root causes of complex data issues to prevent any "datastrophes" from propagating. Generate notifications about specific data events and their context. Understand how data has been collected, copied and modified by any application. Detect anomalies based on historical data information. Leverage lineage and historical data information to find the initial cause.

About

Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Teams seeking a solution to monitor and manage end-to-end quality of data usage in real time

Audience

Teams and companies requiring a solution to monitor their data assets, metadata, and infrastructure

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.5 / 5
design 5.0 / 5
support 4.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Kensu
United States
www.kensu.io/platform

Company Information

Sifflet
United States
www.siffletdata.com

Alternatives

Alternatives

dbt

dbt

dbt Labs

Categories

Categories

Integrations

Amazon Athena
Amazon EMR
Amazon Redshift
Amazon S3
Apache Airflow
Apache Hive
Datadog
Firebolt
Looker
Microsoft Azure
Microsoft Teams
MySQL
PostgreSQL
Presto
SQL Server
Slack
Snowflake
Tableau
dbt

Integrations

Amazon Athena
Amazon EMR
Amazon Redshift
Amazon S3
Apache Airflow
Apache Hive
Datadog
Firebolt
Looker
Microsoft Azure
Microsoft Teams
MySQL
PostgreSQL
Presto
SQL Server
Slack
Snowflake
Tableau
dbt
Claim Kensu and update features and information
Claim Kensu and update features and information
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Claim Sifflet and update features and information