Sifflet

Sifflet

5.0 out of 5 stars
Datakin Sifflet

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Datakin:

About

Instantly reveal the order hidden within your complex data world, and always know exactly where to look for answers. Datakin automatically traces data lineage, showing your entire data ecosystem in a rich visual graph. It clearly illustrates the upstream and downstream relationships for each dataset. The Duration tab summarizes a job’s performance in a Gantt-style chart along with its upstream dependencies, making it easy to find bottlenecks. When you need to pinpoint the exact moment of a breaking change, the Compare tab shows how your jobs and datasets have changed between runs. Sometimes jobs that run successfully produce bad output. The Quality tab surfaces critical data quality metrics, showing how they change over time so anomalies become obvious. Datakin helps you find the root cause of issues quickly – and prevent new ones from occurring.
Sifflet:

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.
Datakin:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Sifflet:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Datakin:

Audience

End-to-end lineage solution for data engineers and data scientists
Sifflet:

Audience

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Sifflet:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Datakin:

API

Offers API Not Supported
Sifflet:

API

Offers API Not Supported
Datakin:

Screenshots and Videos

Sifflet:

Screenshots and Videos

Datakin:

Pricing

$2 per month
Free Version Supported
Free Trial Not Supported
Sifflet:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
Datakin:

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

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Sifflet:

Reviews/Ratings

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

Pros & Cons from Real Users

Pros

  • AI-based anomaly detection works flawlessly Easy data lineage visualization Customizable metrics for business-specific monitoring Smooth cloud integration
  • To call out some of the top features, they would be:- ✅ The ability to connect to multiple data sources; giving you great observability of data no matter what platform you use. ✅ The UI is clean, simple and easy to use. Setting up a new data source is easy, even uploading dbt manifest files via their API is a simple few commands. ✅ Their documentation on getting things set up and working is very easy to read; it’s not bloated and tells you exactly what you need to do. ✅Their communication with us has been a great experience. They’ve fixed bugs we’ve raised to them, informed us of new updates, and overall been very receptive of feedback.

Cons

  • Mobile interface could be slightly improved Initial setup requires some familiarization for complex pipelines
  • Sifflet are still developing some features, polishing existing ones and ironing out minor bugs (more like quality of life features). So there’s nothing major that would be a deal breaker. If I had to call out some points that need development they would be:- 🤔 Their ‘Domain’ feature (ability to put data assets into domains, then limit users to a domain) is still in it’s basic form. It works, but needs some tweaks before it can be a real sellable feature. 🤔Exploring the lineage of a very large lineage graph can be difficult due to the number of relationships/dependencies a model may have. This may be more of an issue with your own DAG architecture than Sifflet, but it’s worth keeping in mind if your models are inherently complex and coupled to one another. Thankfully, Sifflet are working on a new UI for their lineage graph and have demo'd it with us, so this should be a lot smoother in the near future.
Datakin:

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Sifflet:

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported
Datakin:

Company Information

Datakin
Founded: 2019
United States
datakin.com
Sifflet:

Company Information

Sifflet
United States
www.siffletdata.com
Datakin:

Alternatives

Sifflet:

Alternatives

Datakin:
Sifflet:
Datakin:
AnalyticsCreator

AnalyticsCreator

4.6 out of 5 stars
Sifflet:
dbt

dbt

dbt Labs
5.0 out of 5 stars
Datakin:
dbt

dbt

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Sifflet:
Datakin:
Sifflet:
Datakin:

Categories

Data Engineering Supported
Data Lineage Supported
Sifflet:

Categories

Data Catalog Supported
Data Engineering Supported
Data Lineage Supported
Data Observability Supported
Data Quality Supported
DataOps Supported
Observability Supported
Datakin:

Integrations

Amazon Redshift Supported
Apache Airflow Supported
Google Cloud BigQuery Supported
PostgreSQL Supported
Snowflake Supported
dbt Supported
Airbyte Not Supported
Census Not Supported
Datadog Not Supported
Fivetran Not Supported
Google Cloud Platform Not Supported
Hightouch Not Supported
Microsoft Power BI Not Supported
Microsoft Teams Not Supported
MySQL Not Supported
PagerDuty Not Supported
Presto Not Supported
Slack Not Supported
Tableau Not Supported
Sifflet:

Integrations

Amazon Redshift Supported
Apache Airflow Supported
Google Cloud BigQuery Supported
PostgreSQL Supported
Snowflake Supported
dbt Supported
Airbyte Supported
Census Supported
Datadog Supported
Fivetran Supported
Google Cloud Platform Supported
Hightouch Supported
Microsoft Power BI Supported
Microsoft Teams Supported
MySQL Supported
PagerDuty Supported
Presto Supported
Slack Supported
Tableau Supported
Datakin:
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Sifflet:
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