Proactive incident management, intuitive interfaces that allow sharing data responsibility with business units. Easy integrations with Databricks and PowerBI. Well-made documentation that makes integration via API easy. Review collected by and hosted on G2.com.

The ML model for modeling past event flow does not work well enough, with thresholds updating at the slightest deviation. Moreover, the ML model that describes the incidents is too tech-oriented and not high-level enough, and therefore not very useful for business purposes. Review collected by and hosted on G2.com.

There’s a wide range of monitor types you can set up, and the UI is really user-friendly and easy to navigate. Review collected by and hosted on G2.com.

Sometimes it isn’t flexible enough for the kinds of checks I need. I tried a few times to set up a custom monitor because the standard ones didn’t do what I wanted, but I still couldn’t achieve it with a custom monitor. Review collected by and hosted on G2.com.

Sifflet provides a robust data observability, mechanism, and this includes automated monitoring, of datasets, pipelines and others

The interface, more so the dashboard is completely understandable and there is no technical orientation needed

The procedure for anomalies detection is so fast and seamless, and this identifies any missing data and trends that are unlikely or unusual

Sifflet provides a significant insight on the root cause for any problem, where it uses BI tools and ensures proper troubleshooting

The integration with modern cloud apps is another robust feature and it connects with items such ad BigQuery and Looker

The sharing of any visibility and analytical reports is well done and this boosts collaboration Review collected by and hosted on G2.com.

Small enterprises finds Sifflet an expensive solution that demands a hefty price or budget

Some false positives and too many alerts makes the application less efficient and appealing Review collected by and hosted on G2.com.

Sifflet issues remarkable data observability measures, and this guide team members with brilliant data monitoring mechanisms

Sifflet is resourceful in automated threats or anomalies detection and this eliminates manual data monitoring

The app has robust end to end lineage, something that helps in tracing data from their servers or sources

The interface for Sifflet is modern, very accessible and both technical and non technical users work with the app

Sifflet has powerful AI monitors and this ensures no noisy alerts when identifying a particular data trend

The integration with modern data sources is a paramount feature and this ensures high analytical workflow Review collected by and hosted on G2.com.

Sifflet requires a solid alert configuration, something that demands a technical understanding of the app

Some reports are not appropriate or they are false and they lead to a noisy experience Review collected by and hosted on G2.com.

Sifflet is easy to setup, especially with a lot of built in anomaly detection that doesnt require us to think of complicated ways to test the data sources Review collected by and hosted on G2.com.

Nothing in specific, I am satisfied with the use Review collected by and hosted on G2.com.

I like that it provides a unified platform for data reliability and for observing data flows. From an implementation perspective, I really appreciate the platform’s flexibility: it lets me adapt it to each organization’s specific architecture and operational requirements, instead of forcing rigid patterns. Review collected by and hosted on G2.com.

They adapt well to the needs of different teams, take a genuinely collaborative approach, provide 24/7 support, and cover the essential aspects of observability. Overall, I don’t have anything negative to say about them. Review collected by and hosted on G2.com.

Sifflet is most helpful for proactively monitoring data quality, detecting issues early, and linking them to business impact, which helps teams prioritize and act faster Review collected by and hosted on G2.com.

Main drawbacks iare some limitations in customization and alert management. Review collected by and hosted on G2.com.

I appreciate the ease of integrating Sifflet into our data stack, and especially the great ease of creating monitors. The product remains relevant even after 2 years of use. Review collected by and hosted on G2.com.

Honestly, I don't really see too many issues, maybe in the monitors being able to possibly qualify errors faster. Review collected by and hosted on G2.com.

I like that Sifflet learns from past data trends to predict what is normal and identifies what should be classified as an incident. This feature is really helpful because we only get alerts if the data behaves differently than it did in the past, reducing the noise and allowing us to focus on real problems. Review collected by and hosted on G2.com.

I can't bulk edit the tags and it would be nice to have more options to edit several monitors at the same time. At the moment these are very limited. It took some time and there were a lot of features not available at the beginning but the product has evolved a lot since we started using it. Review collected by and hosted on G2.com.

I find it particularly valuable for spotting issues, such as tracking traffic day by day to see whether recent changes have had a negative impact, as well as receiving notifications about fraud. I also like that we get alerts on Slack, which can be seen not only by the data team but by other people too, so they’re aware there’s an issue and can take the required action if needed. Review collected by and hosted on G2.com.

I think that monitor sections can be made clearer Review collected by and hosted on G2.com.