Sifflet Reviews & Product Details

Sifflet is a comprehensive data observability solution designed to assist data engineers and data consumers in gaining complete visibility into their data stacks. This platform can be deployed as a Software as a Service (SaaS) or through self-hosted options, providing flexibility to meet varying organizational needs. Sifflet connects seamlessly with diverse data environments, including data lakes, warehouses, transformation layers, orchestration tools, and business intelligence applications, enabling users to retrieve and manage metadata effectively. Targeted primarily at data professionals, Sifflet serves a wide range of use cases. Data engineers can leverage its capabilities to monitor and optimize data workflows, while data consumers benefit from enhanced data reliability and accessibility. The platform is particularly valuable for organizations that require a robust understanding of their data assets, allowing teams to make informed decisions based on accurate and timely insights. By cataloging data assets according to their business criticality, Sifflet helps prioritize monitoring efforts and ensures that the most important data is always under scrutiny. One of the standout features of Sifflet is its machine learning engine, which facilitates granular rule settings for advanced monitoring. This functionality allows users to establish customized alerts and notifications based on specific criteria, ensuring that potential issues are identified and addressed proactively. Additionally, Sifflet employs templated rules to accelerate the return on investment (ROI) for users, making it easier to implement effective monitoring practices without extensive setup time. Sifflet also excels in incident management by providing contextualized visuals and field-level lineage. This feature simplifies the process of root cause and impact analysis, enabling users to quickly understand the implications of data incidents. By visualizing data flows and relationships, Sifflet empowers teams to troubleshoot issues more efficiently and minimize downtime. Overall, Sifflet stands out in the data observability category by offering a holistic approach that combines advanced monitoring, contextual insights, and user-friendly features, making it an essential tool for organizations aiming to enhance their data management practices.

Product Website

Seller

Sifflet

Discussions

Sifflet Community

Overview by

Tom Farrell

Value at a Glance

Averages based on real user reviews.

Time to Implement

1 month

View More Pricing Information

Sifflet Integrations

(32)

Verified by Sifflet

Sifflet Media

Set up in a few clicks the fundamental coverage of all your tables. Get a clear vision of your set up and start configuring your monitoring.

Sifflet Demo - Detailed view of each of your assets

Get a detailed view of each of your tables.

Sifflet Demo - Field level lineage from ingestion to BI

Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics.

Exhaustive mapping of all dependencies between assets, from ingestion to BI.

Sifflet Demo - Powerful metadata search engine

Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics.

Sifflet Demo - Incident management and business impact assessment

Assign, prioritize, and categorize all data alerts and their resolution - on one centralized page.

Sifflet: Data Observability in Action

Official Downloads

(4)

edit

Gartner® Hype Cycle™ for Data and Analytics Governance.

The No-Nonsense Checklist for Data Observability Buyers

Interactive Demo

edit

Try an interactive demo created by the software seller (right here on G2).

Try demo

Sifflet Reviews (45)

G2 reviews are authentic and verified.

Here's how.

Belinda H.

Operations Communication Lead

Transportation/Trucking/Railroad

Mid-Market (51-1000 emp.)

11/18/2025

"Reliable Data Quality Platform With Strong Monitoring Coverage"

5/5

What do you like best about Sifflet?

Sifflet provides an extremely clear view of our data health across all pipelines. The Monitor Coverage panel makes it easy to understand which assets are fully tested and which ones still need attention. I also appreciate the breakdown of monitor types field profiling, metrics validation, custom tests everything is neatly organized. The alerting system is fast and accurate, helping our team detect issues before they impact downstream dashboards. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

Sometimes the lineage view takes an extra moment to load when working with very large datasets. It’s not a major issue, just something that could be optimized further as we scale. Review collected by and hosted on G2.com.

What problems is Sifflet solving and how is that benefiting you?

Before Sifflet, visibility into data problems was scattered across different tools. Now, everything is centralized: monitoring, incidents, profiling, and reporting. This has improved our SLA response time and significantly reduced the number of unnoticed data failures. Our analysts now trust the data more, and audit processes have become smoother since we can verify data quality instantly. Review collected by and hosted on G2.com.

Leandra C.

Lead Data Engineer

Mid-Market (51-1000 emp.)

11/8/2025

"Gaining Confidence in Our Data Pipeline with Sifflet"

5/5

What do you like best about Sifflet?

Sifflet gives us a unified and transparent view into our entire data pipeline. The anomaly detection, freshness checks, and lineage visualization work seamlessly together, so we no longer have to jump between multiple tools. The real-time alerts and clean dashboard have helped our team catch issues before they affect downstream reports. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

The initial setup in our complex environment took longer than we expected. Some integrations and custom monitor configurations required trial and error, and a few parts of the UI/dashboard customization could be improved. Review collected by and hosted on G2.com.

What problems is Sifflet solving and how is that benefiting you?

Earlier, our data quality issues often surfaced too late impacting business decisions and requiring emergency fixes. With Sifflet, we are now proactively monitoring data health, tracing root causes through lineage, and collaborating better across business and engineering teams. This has improved stakeholder trust, reduced incident response time, and freed up engineers for higher-value work. Review collected by and hosted on G2.com.

Sage B.

Senior Data Engineer

Information Technology and Services

Mid-Market (51-1000 emp.)

10/30/2025

"Reliable Data Quality Control for Our Entire Team"

5/5

What do you like best about Sifflet?

Sifflet makes it incredibly easy to monitor and maintain data quality across multiple data pipelines. I really like the way it centralizes all data incidents, coverage, and tests into one unified dashboard. The automated alerting feature is a huge plus our team gets notified instantly when an issue arises, which saves us hours of manual checking each week. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

Some configuration options for custom monitors could be a bit more flexible. It’s not a big problem, but adding more templates for specific data types would make setup even faster for large teams. Review collected by and hosted on G2.com.

What problems is Sifflet solving and how is that benefiting you?

We use Sifflet to ensure data consistency across our analytics workflows. Before using it, we struggled with undetected schema changes and missing records. Now, everything is tracked and verified automatically. It’s given our engineers and analysts more confidence in the data and significantly reduced time spent debugging issues. Review collected by and hosted on G2.com.

Aurelia C.

Senior Data Analyst

Information Technology and Services

Mid-Market (51-1000 emp.)

11/9/2025

"Streamlined Our Data Workflows and Boosted Confidence"

5/5

What do you like best about Sifflet?

Sifflet has made managing data quality incredibly simple. The automated checks and alerting system help us detect inconsistencies instantly, without relying on manual audits. I also appreciate how well it integrates with our data warehouse setup took less than a day, and we’ve been running smoothly ever since. The lineage visualization is extremely useful for explaining data flow to business users. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

Honestly, not much to complain about. Sometimes, the refresh rate for larger dashboards could be a bit faster, but that’s expected with detailed monitoring tools. Review collected by and hosted on G2.com.

Scarlette S.

Data Quality Lead

Information Technology and Services

Mid-Market (51-1000 emp.)

11/9/2025

"A Smart Platform That Catches Data Issues Before We Do"

5/5

What do you like best about Sifflet?

Sifflet stands out for its proactive monitoring. It alerts us about potential data quality issues before they cause any disruption. I love the way it visualizes anomalies you can instantly see when and where something went wrong. The interface feels very natural, and setting up monitors for new data assets takes just a few minutes. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

The only downside is that the alert configuration panel could use a bit more flexibility for complex workflows. Still, it’s a small issue considering how much value we get overall. Review collected by and hosted on G2.com.

What problems is Sifflet solving and how is that benefiting you?

Before using Sifflet, identifying data drift or broken transformations was mostly reactive. Now, the system automatically flags irregularities and provides detailed insights so our engineers can respond faster. It’s improved trust in our analytics and reduced incident investigation time by nearly half. Review collected by and hosted on G2.com.

Sawyer L.

Data Engineer

Mid-Market (51-1000 emp.)

10/28/2025

"Reliable Data Observability with Excellent Alerting and Automation"

5/5

What do you like best about Sifflet?

Sifflet gives us full visibility into our data pipelines with minimal setup. The anomaly detection is smart and actually useful we catch issues before they affect reports. Integrations with Snowflake, dbt, and Looker were smooth, and the alert system via Slack keeps everyone updated in real time. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

The UI could use a few more customization options for dashboard layouts, but overall, it’s clean and easy to use. Review collected by and hosted on G2.com.

Vihaan V.

Customer Success Trainer

Information Technology and Services

Mid-Market (51-1000 emp.)

11/14/2025

"A Reliable Data Observability Tool That Gives Us Full Visibility"

5/5

What do you like best about Sifflet?

Sifflet makes it incredibly easy to detect anomalies early, thanks to its automated monitoring and clean visual dashboards. The platform feels modern, fast, and intuitive even for team members who aren’t deeply technical. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

Some of the advanced alert configuration options have a learning curve, especially when handling complex pipelines, but once set up, they work flawlessly. Review collected by and hosted on G2.com.

Jeffery R.

Senior Data Engineer

Mid-Market (51-1000 emp.)

11/13/2025

"Comprehensive Data Observability with Smart Alerts"

5/5

What do you like best about Sifflet?

Sifflet gives us deep visibility into our data pipelines and proactively detects anomalies before they affect reports. The dashboard is intuitive, and the integrations with Snowflake and dbt are seamless. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

The alert settings can be slightly overwhelming for new users a guided setup wizard for different data teams would make it even easier to adopt. Review collected by and hosted on G2.com.

Hadlee R.

Data Governance Lead

Mid-Market (51-1000 emp.)

11/13/2025

"Reliable Tool for Data Quality and Governance"

5/5

What do you like best about Sifflet?

Sifflet provides an end-to-end view of data health. The lineage feature is particularly powerful it clearly shows where an issue originates and how it impacts downstream systems. Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

Pricing can feel high for smaller teams, though the overall value justifies the cost for enterprises handling large-scale data. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Mid-Market (51-1000 emp.)

6/30/2025

"Powerful Data Observability for Modern Data Teams"

5/5

What do you like best about Sifflet?

- Intuitive and user-friendly interface, accessible for both technical and non-technical users.

- Comprehensive end-to-end data lineage and impact analysis, making root cause identification fast and clear.

- Flexible integration with a wide range of data sources, warehouses, and BI tools.

- Automated metadata management and cataloging, streamlining data discovery Review collected by and hosted on G2.com.

What do you dislike about Sifflet?

- Initial setup and configuration can be time-consuming, especially for complex data environments

- Limited customization of certain dashboard visualizations and data lineage Review collected by and hosted on G2.com.

What problems is Sifflet solving and how is that benefiting you?

Data Quality Issues Go Undetected: monitoring automatically detects anomalies, schema changes, and quality issues before they impact downstream users

Lack of End-to-End Data Lineage: Sifflet provides comprehensive data lineage (in some ways better than dbt), making it easy to trace data flows, dependencies, and impacts across the stack

Siloed Data Discovery and Poor Collaboration: the data catalog and discovery features centralize metadata, enabling better discovery and collaboration Review collected by and hosted on G2.com.