Sifflet Reviews & Product Details

Thank you for the detailed review! It is great to hear that Sifflet’s ML-based detection is successfully reducing alert noise for your dbt pipelines—that is exactly the goal of our Sentinel agent: to learn your data's unique patterns so you can focus on real issues rather than configuration.

Regarding your feedback on bulk actions: We completely agree. As your monitor coverage grows, managing them individually becomes a bottleneck.

We are actively working on this in our upcoming roadmap. Specifically, we have prioritized Bulk Snoozing for Monitors and Bulk Qualifications for False Positives to help you manage incidents and monitors at scale. We are also introducing Notification Templates to eliminate repetitive setup across multiple monitors.

Thank you for recognizing how much the product has evolved, we are moving fast to bring you these scalability features soon!

Thank you for the thoughtful review! We are delighted to hear that Sifflet is helping you successfully transmit data knowledge through the catalog and business glossary—bridging that gap between assets and business context is exactly why we built the platform.

Regarding your suggestion about interacting with Sifflet directly via Slack commands: You hit on a key part of our vision. We are moving beyond simple 'alerts' toward two-way interaction.

We are actively developing this capability as part of our Embedded Intelligence roadmap. Specifically, we are working on an MCP (Model Context Protocol) Server for Slack, which will allow users to query Sifflet agents, ask about incident status, and retrieve health details directly within your Slack channels, without switching contexts.

In the meantime, our Q1 2026 Roadmap includes Enhanced Alerting with customizable templates to make the notifications you currently receive richer and more actionable,.

We really value your partnership—please keep the feature requests coming!

Thank you for the great feedback! We are thrilled to hear that Sifflet is helping you proactively detect business-critical issues like traffic drops and fraud patterns—tying observability directly to risk and revenue is exactly what we aim for,.

It is especially encouraging to hear that your stakeholders outside the data team are using Slack alerts to take action. Making data quality 'everyone's business' is a core part of our mission. To support this further, we are rolling out Enhanced Alerting features in our Q1 2026 Roadmap, which will include richer context and customizable templates to make those notifications even more actionable for business users.

We are also glad to hear the initial setup was fast—we prioritize a 'plug and play' experience to ensure you see value from day one. Thank you for your partnership!

Thank you for the fantastic review! We are delighted to hear that Sifflet has successfully helped your team transition from 'constant firefighting' to proactive monitoring—this shift from reactive to proactive is exactly what we aim to deliver.

It is great to see you highlight 'more signal, less noise.' This is the core mission of our Sentinel agent, which is designed to learn your data's patterns so you only get alerted on what actually matters. We are also thrilled that our support team facilitated a quick setup; ensuring fast time-to-value is a top priority for us,.

We look forward to helping you maintain that clear ownership and reliability across your pipelines!

Thank you for your transparent feedback. We are glad to hear that the Power BI web addon is successfully helping you access governance data without switching platforms—this concept of Embedded Intelligence is central to our vision of delivering trust signals directly where business decisions happen.

However, we sincerely apologize for the frustration caused by bugs and support delays. We understand that for the platform to be useful, the 'basics' must work flawlessly.

We are actively addressing these stability concerns in our Q1 2026 Roadmap:

• UI & Stability Improvements: We have prioritized specific UI improvements and accessibility fixes to ensure the core platform is more responsive and reliable.

• Faster Resolution: While we are optimizing our support processes, we are also launching an In-App AI Chat. This will allow you to get instant guidance on platform features and configuration, helping to bridge the gap and resolve 'how-to' blockers immediately.

We are committed to improving both our product stability and our support velocity to match the value you are getting from the Power BI integration.

Thank you for the great feedback! We are thrilled to hear that the UI and SSO integrations made for a 'smooth experience'—our goal is to make data observability accessible enough that it truly becomes 'everyone's business,' not just a tool for experts,.

We also appreciate the honest note regarding our marketing—we will definitely take that feedback back to the team!

Since you mentioned relying on Sifflet for governance and lineage, we wanted to highlight two major enhancements coming in our Q1 2026 Roadmap that directly support your use case:

• Lineage V2: We are launching a complete revamp of our lineage interface. This will include new 'transformation' nodes and field-level health status, making it much easier to trace data flows and understand stewardship context at a glance.

• Data Catalog Integration: To further support your governance work, we are releasing a General API to integrate deeply with data catalogs (such as Atlan). This allows you to automatically retrieve business terms, tags, and owners, ensuring your governance policies are inextricably linked to your data quality monitoring.

We are committed to keeping the platform 'easy to master' while adding the depth you need for stewardship.

Thank you for the wonderful feedback! We are delighted to hear that Sifflet’s simplicity and ease of configuration are standing out for you. Catching 'sudden data loss' is exactly the kind of critical anomaly our Sentinel agent was designed to detect automatically, so you don't have to constantly check dashboards manually.

Since you mentioned the value of 'quickly checking' your data health, we wanted to highlight a major enhancement coming in our Q1 2026 Roadmap that will make this even easier:

• In-App AI Chat: You will soon be able to simply ask Sifflet questions like 'Did we have any data loss on client position tables today?' or 'What anomalies were detected in the last 48 hours?' to get instant answers without clicking through menus.

We are committed to keeping the platform simple and powerful as we scale. Thank you for being a customer!

Thank you so much for your positive feedback!

We're thrilled to hear that Sifflet's integration with BigQuery, data lineage features, and monitoring capabilities are beneficial to you.

Your feedback regarding the limitation of scraping within a GCP dataset is very valuable, and we are working on continuous improvements.

If you have any further suggestions or questions, please feel free to reach out.

We're here to help!