Sifflet
SiffletReviews from AWS customer
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Reliable Data Quality Control for Our Entire Team
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product 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.
Keeps Our Data Flow Smooth and Transparent
What do you like best about the product?
The best part about Sifflet is how clearly it shows where data comes from and how it moves through our systems. The lineage view makes it easy for both technical and business teams to trace issues. We also love that the platform automatically tracks data incidents and notifies us in real time.
What do you dislike about the product?
The dashboard can take a few seconds longer to load when handling multiple projects, but it’s not a dealbreaker it still runs more smoothly than other tools we’ve tried.
What problems is the product solving and how is that benefiting you?
We use Sifflet to keep track of financial data transformations across multiple departments. It has improved data accuracy and transparency, especially during audits. Our analysts now have full confidence in the datasets they use for reporting.
Simple to Use, Great for Keeping Our Data Reliable
What do you like best about the product?
Sifflet helps us stay on top of our data health without having to jump between tools. The UI is clean and easy to understand, and I can quickly check if something is off in our pipelines. The automated monitoring saves us a lot of time during reporting weeks.
What do you dislike about the product?
Sometimes the alerts come a bit delayed when we have a large data refresh, but overall it’s not a big deal since it still gives us full visibility after the sync.
What problems is the product solving and how is that benefiting you?
We use Sifflet to monitor our ETL jobs and warehouse tables. It’s helped reduce manual checks and catch schema changes faster before they break dashboards. Our data team can now focus more on improving reports instead of chasing data quality issues.
Makes Data Monitoring Feel Effortless
What do you like best about the product?
What I really like about Sifflet is how it quietly keeps things running in the background. I don’t have to spend hours checking dashboards. I just get a ping when something’s off. The freshness alerts are accurate, and the lineage view actually helps us explain data changes during internal reviews.
What do you dislike about the product?
The only hiccup is that it takes a bit of time for larger queries to appear in the dashboard. Not a deal breaker, but something they could optimize.
What problems is the product solving and how is that benefiting you?
Before Sifflet, we used to find out about broken data way too late usually when reports were already out. Now, our team catches issues in real time and fixes them before anyone notices. It’s reduced our “fire-drill” moments and given management more confidence in our reports.
Keeps Our Data Stack Calm and Transparent
What do you like best about the product?
The biggest win for us has been the lineage view combined with real-time alerts. It makes it incredibly easy to pinpoint where a data issue started instead of hunting through logs. The UI feels clean and doesn’t overwhelm you even when tracking complex pipelines.
What do you dislike about the product?
I wish the alert customization had more advanced filtering options sometimes we get notified about minor threshold breaches that don’t need attention.
What problems is the product solving and how is that benefiting you?
Before Sifflet, we were constantly reacting to bad data after reports broke. Now, issues surface early, and the data team can fix them before they hit dashboards. It’s reduced our fire-fighting time and given leadership a lot more trust in our metrics.
Makes Data Reliability Less of a Headache
What do you like best about the product?
The alerts actually make sense. Not too noisy, but they show up right when a job fails or something looks off. The lineage view is also great for explaining issues to non-technical managers they finally “get it.”
What do you dislike about the product?
Setting up the first few monitors took longer than expected. Once configured though, it’s been smooth.
What problems is the product solving and how is that benefiting you?
Before this, half our mornings went into figuring out why reports broke overnight. Now, we get notified early, and it takes minutes instead of hours to fix. Productivity went up, and weekends feel a lot calmer.
Dependable Observability Without the Noise
What do you like best about the product?
Sifflet stands out because it doesn’t overwhelm you with irrelevant alerts. The dashboards are clean, and the signal-to-noise ratio is excellent. The incident timeline combined with monitor coverage gives our team immediate context to prioritize fixes. Setting up monitors for freshness and volume took less time than expected, and the built-in lineage view has helped us spot downstream risks early.
What do you dislike about the product?
Some visualizations could benefit from more customization options. For example, being able to group monitors by data domain would make reporting to leadership smoother.
What problems is the product solving and how is that benefiting you?
Before Sifflet, we relied on manual scripts that constantly broke and failed to catch silent data issues. Now we get proactive alerts when anomalies appear, along with clear uptime metrics that keep our stakeholders informed. This has cut down incident resolution time significantly and boosted overall trust in our reporting layer.
Powerful Data Observability Tool That Elevates Confidence
What do you like best about the product?
Sifflet provides a unified, 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. Real-time alerts are very actionable, enabling us to catch issues before they affect downstream reports or systems.
What do you dislike about the product?
The initial setup and integrations took longer than expected, especially for our complex environment. Some advanced rule configurations also required trial and error, and there were a few parts of the UI where more customization (e.g. dashboard layouts) would help.
What problems is the product solving and how is that benefiting you?
Before using Sifflet, we frequently reacted to data issues after they surfaced in reports. Now, problems are flagged proactively — this has boosted confidence in our BI outputs, reduced manual debugging hours, and allowed our data and analytics teams to focus more on deriving insights rather than firefighting.
Actionable Data Insights With Less Effort
What do you like best about the product?
Sifflet provides a level of transparency we didn’t have before. Consolidating anomaly detection, trend monitoring, and quality checks into one platform has eliminated the need to jump between multiple tools. The data lineage visualization is especially useful — it makes explaining data pipelines simple for both technical stakeholders and business teams. Real-time alerts also ensure accountability across the organization.
What do you dislike about the product?
The dashboards could use more customization. While the current widgets work well, being able to design role-specific views would make the experience even stronger.
What problems is the product solving and how is that benefiting you?
Our old approach to data quality was reactive — issues were usually flagged by end users after the fact. With Sifflet, we now catch problems proactively before they affect downstream reports. This shift has improved trust in our data, cut down on redundant fixes, and freed the analytics team to spend more time on strategic analysis rather than troubleshooting.
Reliable Alerts Keep Our Data Flowing Smoothly
What do you like best about the product?
The incident alerts are timely and precise. I don’t need to keep refreshing dashboards — Sifflet notifies me instantly if a pipeline fails or if data freshness drops. The lineage view also makes it easy to trace where the issue originated.
What do you dislike about the product?
Sometimes the alert thresholds need fine-tuning. Out-of-the-box settings can be a bit noisy until you adjust them to your pipelines.
What problems is the product solving and how is that benefiting you?
Before Sifflet, we often discovered issues too late — after stakeholders already noticed missing or incorrect data. Now, we’re alerted in advance, fix problems faster, and maintain higher trust in our reporting systems.
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