What is Sifflet?

Effortlessly oversee a multitude of tables through advanced machine learning-based anomaly detection, complemented by a diverse range of more than 50 customized metrics. This ensures thorough management of both data and metadata while carefully tracking all asset dependencies from initial ingestion right through to business intelligence. Such a solution not only boosts productivity but also encourages collaboration between data engineers and end-users. Sifflet seamlessly integrates with your existing data environments and tools, operating efficiently across platforms such as AWS, Google Cloud Platform, and Microsoft Azure. Stay alert to the health of your data and receive immediate notifications when quality benchmarks are not met. With just a few clicks, essential coverage for all your tables can be established, and you have the flexibility to adjust the frequency of checks, their priority, and specific notification parameters all at once. Leverage machine learning algorithms to detect any data anomalies without requiring any preliminary configuration. Each rule benefits from a distinct model that evolves based on historical data and user feedback. Furthermore, you can optimize automated processes by tapping into a library of over 50 templates suitable for any asset, thereby enhancing your monitoring capabilities even more. This methodology not only streamlines data management but also equips teams to proactively address potential challenges as they arise, fostering an environment of continuous improvement. Ultimately, this comprehensive approach transforms the way teams interact with and manage their data assets.

Integrations

All Sifflet Integrations
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Screenshots and Video

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Company Facts

Company Name:
Sifflet
Company Location:
United States
Company Website:
www.siffletdata.com

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Online Training
Webinars
Video Library
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Sifflet Categories and Features

Observability Tool

Data Quality Software

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Data Lineage Tool

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Engineering Tool

Data Catalog Software

More Sifflet Categories

Sifflet Customer Reviews

Write a Review
  • Reviewer Name: Jens S.
    Position: Data Engineer
    Has used product for: 6-12 Months
    Uses the product: Daily
    Org Size (# of Employees): 100 - 499
    Feature Set
    Layout
    Ease Of Use
    Cost
    Customer Service
    Would you Recommend to Others?
    1 2 3 4 5 6 7 8 9 10

    Efficient Data Monitoring with Clear Insights

    Date: Sep 13 2025
    Summary

    I’ve been using Sifflet for the past few months to monitor our company’s data pipelines, and it has greatly streamlined our workflow. The platform makes it easy to track data lineage and detect anomalies before they affect operations. Integration with cloud infrastructure was smooth, and the dashboard is user-friendly for both technical and non-technical team members. Overall, Sifflet provides peace of mind knowing our data quality is proactively managed. Highly recommended for any organization relying heavily on data.

    Positive

    AI-based anomaly detection works flawlessly

    Easy data lineage visualization

    Customizable metrics for business-specific monitoring

    Smooth cloud integration

    Negative

    Mobile interface could be slightly improved

    Initial setup requires some familiarization for complex pipelines

    Read More...
  • Reviewer Name: A Verified Reviewer
    Position: Data Engineer
    Has used product for: 1-2 Years
    Uses the product: Weekly
    Org Size (# of Employees): 500 - 999
    Feature Set
    Layout
    Ease Of Use
    Cost
    Customer Service
    Would you Recommend to Others?
    1 2 3 4 5 6 7 8 9 10

    Enabler of Cross Platform Data Storytelling

    Date: Jun 25 2025
    Summary

    In summary Sifflet has helped our organisation give full visibility of data lineage across multiple repos (separate dbt projects), and across platforms. We can see where data is coming from in Amazon S3, how it's being transformed as it moves through our dbt projects, and where it's being presented in our BI platform Quicksight.

    Positive

    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.

    Negative

    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.

    Read More...
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