- Intuitive and user-friendly interface, accessible for both technical and non-technical users.

- Comprehensive end-to-end data lineage and impact analysis, making root cause identification fast and clear.

- Flexible integration with a wide range of data sources, warehouses, and BI tools.

- Automated metadata management and cataloging, streamlining data discovery Review collected by and hosted on G2.com.

- Initial setup and configuration can be time-consuming, especially for complex data environments

- Limited customization of certain dashboard visualizations and data lineage Review collected by and hosted on G2.com.

Sifflet allows us to detect data issues sooner and quickly understand their impact, cutting through noise and speeding up triage. Review collected by and hosted on G2.com.

Not much, it is overall a great product. Review collected by and hosted on G2.com.

Multi-dimensional machine learning monitors Review collected by and hosted on G2.com.

needs too much data knowledge - not friendly enough for non-tech users Review collected by and hosted on G2.com.

The UI and UX are pleasant to use.

There are good integrations to work with different data stacks.

The tool is responsive.

There are wide configurations for monitors and what data quality checks we want to keep track of.

The ability of the company to iterate quite rapidly to implement or improve features. Review collected by and hosted on G2.com.

I can't say I do not love the following, but as we don't see the need to use them, I feel the data catalog and glossary are tools that are probably nice to have for some team, but in our case is completly useless.

I do like the slack integration however I'm waiting for big improvements (templating and shape, to get more dense/lighter messages) on how the alerts are sent and hoping for auto-resolve. Review collected by and hosted on G2.com.

Rely on machine learning to discover data and catch data outliers, anomalies and trends.

Ease of use + ease of Integration + ease of monitor implementation. Review collected by and hosted on G2.com.

a point to improve is to accelerate the training of the embeded machine learning module. Maybe sifflet team can be more reactive with this point and assist the client to reach quick result. Review collected by and hosted on G2.com.

We have worked with Sifflet for around 2 years now. That includes many teams from acorss our organization that work with data, or use data to make decisions.

Issues are identified sooner from an Engineers perspective, we can proactively catch them and avoid awkward conversations with Stake Holders.

The Customer Support is another massive benefit of working with this company, they offer great indibidualistic approach, quick responses/support. And are always looking to improve their product based on feedback. It's refershing after many companies do the exact opposite. Review collected by and hosted on G2.com.

Lineage Tracking can become quite confusing at time, especiall with complicated architecture in Data Warehouses. Review collected by and hosted on G2.com.

Capacity to create&deploy DQ monitor rules easily from UI or using deploy as code module

Capacity to add multiple tag values on any DQ monitor rules to facilitate filtering criteria based on those tags values, asset, severity values..

Capacity to use both search bar criteria (status of last DQ moniror runs combined with some predefined attributes such as severity, last run date..and free text to type to search for Monitor names).

Capacity to pin any DQ monitor or Asset to get a bookmark access from Dashboard pane

Capacity to get for each incidents the detailed list of compromised Dashboards (Power BI reports in our case) Review collected by and hosted on G2.com.

Data lineage module should be enriched by adding to filter pane :

- Capacity to expand in one click all assets linked to initial targeted asset in order to get a full picture of upstream and downstream linked assets.

- Capacity to view for each existing DQ monitor type (ReferentialIntegrity, DuplicatePercentage..) corresponding consolidated number of incidents present on targeted asset and ideally from filter pane possibility to refine incident number per type of monitor run we want to highlight on targeted asset and also possibility to refine each consolidated DQ monitor incident type number per severity level.

- On Incident module possibility to group into one incident multiple distinct DQ monitor alerts that are concerning same asset but on distinct columns for instance but applying to one common dimension value (country for instance) in order to mutualize all of these incidents into one unique ticketing creation process and root cause analysis to address to asset owner.

- Possibility to put on hold or snooze mode recurring DQ monitor alert on same asset and same grouping dimension value that is repeating over and over again on a daily basis if error threshold value is quite identical from one day to another. Review collected by and hosted on G2.com.

For me, the ease at which I can monitor my data freshness, quality and lineage is the game changer. The seamless integration with other technologies in our data analytics stack, especially dbt and Bigquery, makes it a useful addition to building a modern data stack in my company. It's also been really useful for our stakeholders to easily and quickly find their data assets and business terminologies and definitions. Review collected by and hosted on G2.com.

For the purpose for which Sifflet was made, I'm yet to see a downside. Review collected by and hosted on G2.com.

User interface

Monitoring section

Rules for consistency, completenes, accurecy

Incident assign and resoultions Review collected by and hosted on G2.com.

Not much but recently when we were trying sifflet we didnot see the query or code which broke that rules or the rows which failed to comply with that rules Review collected by and hosted on G2.com.

I am a data engineer in charge of data quality in my company and, with Sifflet, I am able to perform multiple quality checks (nulls, seasonality patterns, invalid values...) very easily and quickly.

So far, after a few days of usage, I have spotted a few problems (for instance, invalid regex) that were under the radar. Review collected by and hosted on G2.com.

The main problem with Sifflet for me, is the number of available monitor templates, which can be overwhelming for new users. I would say the learning curve is rather steep for Sifflet. Review collected by and hosted on G2.com.