34 Sifflet Reviews
Overall Review Sentiment for Sifflet
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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.
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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.
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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.
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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.
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Sifflet is a great tool that helps us keep tabs on our Data Assets efficiently. After implementing the tool into our Infrastructure, we've been able to keep spot issues quickly and fix them immediately. We've seen a steady decline in end user complaints about missing or errornous data. With the excellent tool, the team behind it has also been nothing short of supportive and patient with any queries or questions we have. Review collected by and hosted on G2.com.
The only downside I see is that with the tool being quite fresh, a lot of changes stops the user from familiarising themselves with the product. But these changes make the product better in the long run...so not really a downside. Review collected by and hosted on G2.com.
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It's been 6 months since we started using Sifflet. Multiple teams inside our company use Sifflet now. It has made us proactive in find out data issues instead of being reactive after data issue has been raised.
Sifflet is game changer, we have been able to identify issues sooner, within a day or two and take actions to resolve it, potentially saving us revenue.
One major aspect that Sifflet excels is in creating monitors that checks the discrepancy between tables.
Sifflet is helping to build more trust in our data.
In terms of ease of use - Some parts are intuitive, some parts took us some time to get used to.
And last but not least, our interaction with Sifflet has been great. They are welcoming, knowledgeable. They support us whenever we have issues/questions. Review collected by and hosted on G2.com.
There is a considerable amount of effort in getting onboarded to Sifflet. We need to create monitor/s for each of table/view instead of Sifflet auto-monitoring completeness, freshness, schema changes.
At the same time, we have got overwhelmed many times with the number of alerts. We need to spend dedicated time everyday to make sure we mark the incident accordingly - False Positive, Fixed, Known Issue etc. So plan for it.
This sentence is probably limited to Bigquery and how queries are written in our company - Lineage isn't still complete. It has got better from the time we started, but still can't see all the tables in it. Review collected by and hosted on G2.com.
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Sifflet is more than just data observability, sure that is the bread the butter. What I love is all the additional functionality such as the lineage, catalog, glossary and chrome extension. How Sifflet for me does this best is the deep interconnectivity of all these assets. I can start on place and deep dive and explore all the different elements and facets of a Data Product.
What I've found in my deployment is it has allowed different profiles of users from engineer, scientist, salesperson, marketer, journalist to better start in the area of observability/governance they are more comfortable with and learn what else is associated. It has deeply boosted our data quality and unity efforts.
We've labelled Sifflet our Data Library, because thats the powerful function it plays Review collected by and hosted on G2.com.
Not a big issue but allowing to change the default role when signing up! Users get granted the system default role when SSO logging for the first time then we re-assign once they're in Review collected by and hosted on G2.com.
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We started using Sifflet 3 months ago and it already helped us monitor the Data quality of our most critical transformed tables. It also allowed some teams to monitor business indicators, that no one had time to track so closely.
For now, we are very satisfied by the "monitors" feature of Sifflet : it is easy to use, the integration of all our tables was very fast and the implementation or modification of monitors is quite clear (and it keeps getting clearer with the regular updates of the tool).
We will soon start using the other available features, such as the Data Catalog and Business Glossary, that also seem well-thought and easily actionable. Review collected by and hosted on G2.com.
For now I do not see any real downside about Sifflet, considering the fact that all our painpoints were addressed quickly by Sifflet's team. Review collected by and hosted on G2.com.