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A friendy user interface that could become more friendly with some improvements
What do you like best about the product?
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)
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)
What do you dislike about the product?
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.
- 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.
What problems is the product solving and how is that benefiting you?
SIFFLET provides an unified platform to collect assets from distinct environment and technology (database, dashboarding solution) in order to check impact of any DQ monitor breach on all of our kind of assets and this analysis can be segregated per specific dimension such as country or solution.
It provides also some data cataloging module to provide some semantic and business logic to our existing data asset.
It provides also some data cataloging module to provide some semantic and business logic to our existing data asset.
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Sifflet features
What do you like best about the product?
The features that Sifflet offered was really good.
What do you dislike about the product?
No support to integration with Informatica cloud
What problems is the product solving and how is that benefiting you?
Data Quality issues
My Sifflet Story
What do you like best about the product?
User interface
Monitoring section
Rules for consistency, completenes, accurecy
Incident assign and resoultions
Monitoring section
Rules for consistency, completenes, accurecy
Incident assign and resoultions
What do you dislike about the product?
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
What problems is the product solving and how is that benefiting you?
Basically, Common data quality issues include missing values, duplicate records, incorrect data formats, inconsistent data values, outdated information, and data entry errors.
Helpful in Identify the root causes of data quality issues by analyzing data sources, processes, and systems.
Today we got immediate alert for one of the table went empty then we resolved the issue ASAP
Helpful in Identify the root causes of data quality issues by analyzing data sources, processes, and systems.
Today we got immediate alert for one of the table went empty then we resolved the issue ASAP
Useful in spotting problems and setting multiple monitors
What do you like best about the product?
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.
So far, after a few days of usage, I have spotted a few problems (for instance, invalid regex) that were under the radar.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Problems:
- Data quality (assuring data conformity and compliance with business rules)
- Data observability (make sure we process consistent volume of data daily for our import/export flows)
Benefits (so far):
- Spotting data problems (high number of null values, low volume of processed/ingested data)
- Data quality (assuring data conformity and compliance with business rules)
- Data observability (make sure we process consistent volume of data daily for our import/export flows)
Benefits (so far):
- Spotting data problems (high number of null values, low volume of processed/ingested data)
Sifflet
What do you like best about the product?
The way that you can easily visualise the whole data pipeline and explain where metrics come from easily
What do you dislike about the product?
I've only been using Sifflet for a short time and haven't found any downsides yet
What problems is the product solving and how is that benefiting you?
De-mystifying the data pipeline. I am the only analyst in my team, so being able to show the pipeline in a manner that is simple to understand really helps me communicate issues/projects more easily
Un outil de data observability avec beaucoup d'avenir
What do you like best about the product?
- Une interface simple
- Des métriques que nous pouvons calculer facilement
- Des dashboards claires sur l'utilisation de l'outil
- Un service et un accompagnement au top + une bonne reactivité sur les "bugs"
- Une roadmap clair et qui peut s'adapter aux besoins
- Des métriques que nous pouvons calculer facilement
- Des dashboards claires sur l'utilisation de l'outil
- Un service et un accompagnement au top + une bonne reactivité sur les "bugs"
- Une roadmap clair et qui peut s'adapter aux besoins
What do you dislike about the product?
- Créer des métriques uniquement via l'interface graphique et non en "data observability as code"
- Un lineage qu'on ne peut pas avoir pas database
- Beaucoup d'actions manuelles à faire dans l'interface graphique
- Un lineage qu'on ne peut pas avoir pas database
- Beaucoup d'actions manuelles à faire dans l'interface graphique
What problems is the product solving and how is that benefiting you?
- Détection rapide des anomalies dans les données
- Surveillance continue de la qualité des données
- Detection de la root cause plus facilement avec le lineage
- Identification des erreurs de données en temps réel
- Réduction des temps d'arrêt dus aux problèmes de données
- Surveillance continue de la qualité des données
- Detection de la root cause plus facilement avec le lineage
- Identification des erreurs de données en temps réel
- Réduction des temps d'arrêt dus aux problèmes de données
Using Sifflet as Analytics Engineer after several month
What do you like best about the product?
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.
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.
What do you dislike about the product?
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.
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.
What problems is the product solving and how is that benefiting you?
This provides continuous alerts on data anomalies, with more or less granular configurations if required.
Configuration of these monitors is relatively straightforward, through an interface that non-developers can understand.
The results are interactive and graphically explicit enough to give a better picture of the problem encountered, and can be easily shared with other users.
Configuration of these monitors is relatively straightforward, through an interface that non-developers can understand.
The results are interactive and graphically explicit enough to give a better picture of the problem encountered, and can be easily shared with other users.
Sifflet for BigQuery Cataloguing
What do you like best about the product?
It allows an easy integration with BigQuery.
Data Lineage is very useful to identify the different steps that made a table.
Monitors are useful to detect anomalies,
Data Lineage is very useful to identify the different steps that made a table.
Monitors are useful to detect anomalies,
What do you dislike about the product?
It is not possible to limit scraping to some tables within a GCP dataset
What problems is the product solving and how is that benefiting you?
Automation in cataloguing data and monitoring.
Excellent Data Quality Took
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
- Spotting Issues in the Data Pipeline before it's visible by the Data End user
- Ensuring certain calculated metrics are propagated similarly along different branches in the pipeline
- Ensuring certain calculated metrics are propagated similarly along different branches in the pipeline
Intuitive data observability platform suitable across a business
What do you like best about the product?
- Intituitive to use
- Very quick to implement new requested features
- Works seamlessly with a variety of different technologies
- Quick support via Slack with issues remedied quickly
- Very quick to implement new requested features
- Works seamlessly with a variety of different technologies
- Quick support via Slack with issues remedied quickly
What do you dislike about the product?
Needs more flexibility when it comes to building rules as per monitoring - more language support and greater customisation in terms of what can be outputted. Would also be useful to have a hierarichal access to rules allowing for rules to be specific for certain parts of the business
What problems is the product solving and how is that benefiting you?
Allows for rules to be applied on tables within Snowflake enabling the wider team be notified of any data quality checks. This saves a significant amount of time.
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