Anamalo has a strong user experience, offers high quality timeseries models, and translates quickly into impact on data quality. The ability to configure robust data quality checks in just a minute or two makes it feasible to enable monitoring across the entire data ecosystem rather than just a few of the highest importance data assets. Integrations with Slack and PagerDuty also make it easy to use Anomalo directly inside of existing workflows. Review collected by and hosted on G2.com.

There are a few minor corner cases that could work more smoothly, and user intro documentation could expand, but in general the product has really high perfomance. Review collected by and hosted on G2.com.

Anomalo is a great data visualization tool when it comes to simplifying the process for data pattern exploration and data drift identification. Review collected by and hosted on G2.com.

Anomalo could have provided more backend support in terms of easier access for API services, application integration, and providing interactive feedback capabilities for false-positive suppression. I would also like to see Anomalo enhance its capabilities for potential root cause analysis. As an analyst/data scientist, it will be very helpful to provide detailed drill-down capability after a certain anomaly is detected. For example, if a customer SQL detects a pattern drift, it will be extremely helpful if Anomalo could suggest detailed segments that primarily contribute to the pattern drift. Similar to the decision tree concept, without users having to come up with additional diagnostic SQL to understand the root cause, Anomalo can provide potential segmentation nodes to separate the normal population and biased population. Review collected by and hosted on G2.com.

Success of Anomalo is due to the company's professional team(s), open and modular product structure as well as the dedicated practice that has great knowledge and understanding about how data and analytics work in different organizations. I enjoy working with the Anomalo team!

Our team had several critical use cases for data quality and profiling. We tried several products earlier to Anomalo and failed miserably due to multiple issues but Anomalo helped us implement the business data quality rules in days which took 5% of the time taken to see the Returns of Investing in Anomalo.

I became very passionate about Anomalo and I recommend Anomalo to any industry irrespective of how data structures are implemented within the organization. It is very nimble and easy to implement. They made some changes in the product that took weeks compared to other products who take years to implement.

Overall it is a Win for any organization that invests in Anomalo Review collected by and hosted on G2.com.

We have seen few issues with documentation but those have been corrected. Team done great job with documentations thus far Review collected by and hosted on G2.com.

I like how consistent Anomalo is at being able to monitor and alert us about any discrepancies that stand out. You're also able to adjust the threshold making it more or less noisy depending on how important the check is. Anomalo has definitely helped my team be more proactive in catching issues. Review collected by and hosted on G2.com.

It can be a bit annoying configuring all the tables since you need to configure each one manually. But at the moment I'm not experiencing any pain points that could not be resolved by the Anomalo team Review collected by and hosted on G2.com.

Anomalo is a lightweight solution to identify issues with data pipelines as well as "anamolous" events in our data. Setting up appropriate alerts allows for "hands-off" monitoring and for increased visibility into our data with the same resources. Review collected by and hosted on G2.com.

Anomaly detection right now seems to be based around a single time series algorithm, in which a trend is assumed with some constant noise. That anomaly detection algorithm doesn't work well now when adding in too much sampling error (i.e., observations based on small n). Review collected by and hosted on G2.com.

Anomalo helps us to, with very low effort, increase the confidence in the data products provided by our data teams. Within a minute Anomalo can be set up to run its checks on a new table. The out-of-the-box checks provided by Anomalo, focused on freshness, completeness and table anomalies, improve the observability of our data. Running Anomalo independent of our data pipelines, provides an additional layer of checks that helps us to increase the trust in our datasets. Additional checks on key metrics and validation rules can be configured through the UI, with no coding required. This enables business users themselves to set up checks according to their needs, without the data team becoming a blocker. Additionally, having an external tool for anomaly detection helps us to apply industry best practices as Anomalo emphasizes nudging users to leverage the tool according to these best practices. Review collected by and hosted on G2.com.

Not much, Anomalo is a fairly young company able to quickly adapt to user requests and feedback. Any problems with the tool are usually quickly resolved and we're in good contact with their product team. Review collected by and hosted on G2.com.

Anomalo is like having an extra data engineer on the team whose responsibility is to monitor to make sure nothing is going off the rails. In a lean data organization like the one I work in, this is invaluable, as it frees me and the rest of the team up to focus on more strategic data/business issues. Review collected by and hosted on G2.com.

There isn't a ton I dislike. Some of the UI and visualizations can be tough to grok, but you learn how to focus on the key things that matter and then hone in on those checks/visuals. Review collected by and hosted on G2.com.

It's an easy and quick configuration, there are already a lot of checks very useful to use for a 5 minutes setup. Plus, there are a lot more functionalities there that are customizable. It solved a lot of our bottleneck problems over the past years by bringing a fast and easy way to monitor data missing etc. Also, I want to mention the ability to connect to pagerduty, slack etc to make the general engineering development cycle and maintenance smooth! Lastly, the engineers/PMs from Anomalo paired with us on figuring out solutions when we had questions. Review collected by and hosted on G2.com.

To be honest, for anything that I feel could be improved, I talk to their PM directly for feature requests. They are a very fast-paced team who can deliver new features promptly, which is great. Review collected by and hosted on G2.com.

It's very quick to set up checks. Find table, couple of clicks, punt to Slack channel - all set for many use cases. Good docs too, and we've been fortunate to have a direct comm channel with their product manager and CEO for more specific questions, and they've been super helpful in responding. Review collected by and hosted on G2.com.

Some more advanced "power user" techniques are hidden in the Django admin console, and are undocumented. Review collected by and hosted on G2.com.

I appreciate the native (OOTB) scans which require minimal mouseclicks. Customer support so far has been outstanding. Review collected by and hosted on G2.com.

I am looking for more visualizations to summarize DQ results. To be fair, this is a work in progress for Anomalo and wouldn't be surprised if they have advances here in the near future. Review collected by and hosted on G2.com.