It's the best data quality/validation tool for engaging business users and developers. The Root Cause Analysis features provide us with better arguments when approaching developers and less work digging into what is causing data quality problems. Review collected by and hosted on G2.com.
Customization needs to be more present. For use cases outside of the original tool, things can become infeasible. Also, it does not provide a precise view of collateral cost running validations of the Data Warehouse (which can be a problem in big projects with large tables). Review collected by and hosted on G2.com.
40 out of 41 Total Reviews for Anomalo
Overall Review Sentiment for Anomalo
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+ As an administrator it was really easy to setup Anomalo on our existing infra and get it up and working quickly. This means that we could start finding value really quickly. We set Anomalo up with our k8s infra and it was fairly easy
+ Anomalo conistently finds small issues in our datasets and helps us identify the cause even before vendors detect them. We've pushed issues upstream multiple times when the data producer isn't aware of the issue yet
+ In the past, we've explored many different solutions for this problem and Anomalo has worked much better than all of our home grown solutions in terms of adoption as well as value-added
+ Anomalo UI is extremely easy and awesome to use. This makes it much easier for data analysts and non technical teammates to onboard and add custom checks vs creating a code change.
+ Anomalo's team has been incredibly responsive and helpful Review collected by and hosted on G2.com.
- Checks are not very configurable. If a dataset gets a sudden increase in rows which is expected, Anomalo will alert 2-3 days before it learns the new normal
- Anomalo's out of the box tests can be expensive(in runtime + cost of computing metrics). They scan all columns even the ones which might not be used anywhere resulting in some wasted work
- Alerts can be noisy and its up to the team to make sure they have a process to work through each alert Review collected by and hosted on G2.com.
Anomalo is a great tool for monitoring general data quality. Beyond the default metrics, like data freshness and availability, it's excellent to be able to configure custom verifications. To highlight some awesome features, the anomaly history is very useful for understanding the main variations in column statistics. In the custom possibilities, being able to configure alerts using multiple columns, multiple tables or SQL brings several monitoring configurations. Review collected by and hosted on G2.com.
One limitation that can be mentioned is the impossibility of configuring a BigQuery wildcard table as one single table. The Google Analytics integration with BigQuery is an example; the data is saved in a wildcard table but monitoring the data quality of users' interaction with our website is essential, so it would be great to have this feature in Anomalo. Review collected by and hosted on G2.com.
Clear and intuitive interface
Low entry threshold. Using Anomalo does not require many hours of study and training.
Beautiful data graphs, very helpful when analyzing data and detecting any anomalies
Setting up a new table takes 1 minute and there are 8 built-in checks right from the start
There is a large variety of custom checks Review collected by and hosted on G2.com.
In its simplicity, Anomalo sometimes seems to be limited and lacks certain functionalities.
For example:
- Tools and functionality to support multiple teams are missing, such as sending notifications for the same table to different destinations. Possibility of adding comments by different teams or tagging tables.
- There are no tools to control the amount of scanned data (to be able to control costs) to decide whether a given table is worth keeping in Anomalo at all Review collected by and hosted on G2.com.
With Anomalo, we could easily focus on improving coverage for our important tables & passing metric checks. We can obtain a deep dive into any statistics so that we have clarity on what should be our priority. This also gives visibility to tables that impact our SLA by overviewing their data arrival time in our dashboard. Review collected by and hosted on G2.com.
We have recently started using Anomalo to identify data impasses & determine its RCA quickly. We would like to have proper documentation for its features so that it would be easy for us to get familiar with its platform. We integrate Anomalo with our customer data warehouse to perform seamless data quality checks and regulate alerts in case of anomalies. Review collected by and hosted on G2.com.
Integration with AWS Athena / Glue
Good API for running operations and getting stats
Very good visuals for non-technical people
Helpful staff Review collected by and hosted on G2.com.
Relatively early in their development
Problems with nested structs / objects (not arrays)
Possibly attempting too many integrations, some can be a bit buggy Review collected by and hosted on G2.com.
We like that we can pick precisely what we want to watch and how we want to monitor it, all credit goes to the tool's capability to build up our own tests. Review collected by and hosted on G2.com.
Anomalo does not give us a clear understanding of the costs involved in running validations on the Data Warehouse. Review collected by and hosted on G2.com.
Straightforward and quick to implement.
Transparent pricing.
High ROI - the two tiers of monitoring give me a lot of bang for my buck.
The main chunk of IP - their ML-based monitoring Review collected by and hosted on G2.com.
It's very easy to create noise in your monitoring channels Review collected by and hosted on G2.com.
The major factor I loved about the tool is the simplicity of using it. The interface is super easy to use. The tool could be customised as per the usability of it and as per a user. Review collected by and hosted on G2.com.
The tool's option to connect to different teams is a significant drawback. The device cannot control the scanned data, helping decide the table's credibility. Hope it gets resolved. Review collected by and hosted on G2.com.
Slack alerts visualization
Built in checks Review collected by and hosted on G2.com.
Admin page is very not user friendly
Many bugs
Tables are not immediately updated in the system
Team does not respond to feature requests or bug reports
UI is bad Review collected by and hosted on G2.com.
