Reviews from AWS Marketplace
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
External reviews are not included in the AWS star rating for the product.
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
- Leave a Comment |
- Mark review as helpful
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.
Game changing for Cross Tool Visibility
What do you like best about the product?
The capability to take a resource and trace its lineage back to raw resources.
What do you dislike about the product?
N/A - At the moment don't have any disklies.
What problems is the product solving and how is that benefiting you?
Reducing time to RCA for debgugging. This reduces platforom downtime/increases platform uptime.
Very helpful features and proactive team
What do you like best about the product?
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.
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Monitor Data Quality and Business indicators, to allow for a more proactive response of the Data team in our company (already partly implemented)
Allow teams to track their key indicators thanks to Slack alerts (already partly implemented)
Allow everyone in the company to access to a clean Data Catalog (future)
Allow teams to track their key indicators thanks to Slack alerts (already partly implemented)
Allow everyone in the company to access to a clean Data Catalog (future)
A great addition to your stack
What do you like best about the product?
It is useful for everyone within the modern tech company.
Data Engineers need to work out the lineage of multiple models? Done.
Data Analysts nee to find out how a particulair KPI is being calculated and the sources? Done
New hires need to get used to the data architecture of the company? Done
It also has a lot of very useful alerts that can be set-up on SQL tables, with automatic Slack notifications. This makes testing so easy and conveniant to integrate.
Data Engineers need to work out the lineage of multiple models? Done.
Data Analysts nee to find out how a particulair KPI is being calculated and the sources? Done
New hires need to get used to the data architecture of the company? Done
It also has a lot of very useful alerts that can be set-up on SQL tables, with automatic Slack notifications. This makes testing so easy and conveniant to integrate.
What do you dislike about the product?
The Machine Learning algorithms sometimes calculate the predicted rows not the most efficiently - however with manual corrections this can be improved.
What problems is the product solving and how is that benefiting you?
Complete data obersvibility. It is often hard to connect all the tools your have from your data warehouse, SQL models, all the way to the final dashboard. Sifflet really helps this by showing the flow and connections between the different elements/columns/KPI's etc. It has been extreamly helpful for complete obervibility of your assets. From Start to Finish.
Sifflet is much more than just a data observability tool!
What do you like best about the product?
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 makes it a useful addition to building a modern data stack in my company.
What do you dislike about the product?
For the purpose for which Sifflet was made, I'm yet to see a downside.
What problems is the product solving and how is that benefiting you?
data governance
showing 1 - 10