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Sifflet

Sifflet | 1

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External reviews

25 reviews
from G2

External reviews are not included in the AWS star rating for the product.


    Siddarth K.

Excellent Data Quality Took

  • May 14, 2024
  • Review verified by G2

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


    Computer Software

Intuitive data observability platform suitable across a business

  • April 30, 2024
  • Review verified by G2

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
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.


    James M.

Game changing for Cross Tool Visibility

  • April 30, 2024
  • Review provided by G2

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.


    Clément G.

Very helpful features and proactive team

  • April 30, 2024
  • Review provided by G2

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.
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)


    Adrian R.

A great addition to your stack

  • April 30, 2024
  • Review verified by G2

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.
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.


    Bolade F.

Sifflet is much more than just a data observability tool!

  • April 30, 2024
  • Review provided by G2

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


    Abelia P.

An ergonomic tool that responds perfectly to the business and technical challenges of data quality

  • April 26, 2024
  • Review provided by G2

What do you like best about the product?
The ease with which you can get to grips with the tool
Un outil pour differents uses cases (data quality, data catalogue, etc)
What do you dislike about the product?
Integration still missing but progress is fast
What problems is the product solving and how is that benefiting you?
Whistle alerts you to the various stages of data transformation so that the quality for the end customer is not altered.


    Health, Wellness and Fitness

A powerful data monitoring tool

  • April 25, 2024
  • Review provided by G2

What do you like best about the product?
Sifflet is a powerful data observability platform that lets you set up alerts on your data with just a few clicks. We implemented it a few months ago in our company and have been using it every day since.
We can set up an infinite number of different monitors, forecasting the values of our data tables, customizable SQL monitors, ... and it's all very intuitive.
It's very easy to integrate Sifflet into Tableau dashboards. This lets us know, for example, if the graphs we're looking at haven't been updated as expected.
It's also very useful to be notified directly on slack or by e-mail in the event of an alert, rather than having to connect to the platform.
What do you dislike about the product?
The Sifflet platform is still relatively young. As a result, there may occasionally be minor bugs. The Whistle team is very reactive to correct these bugs. These little bugs are really just a detail, and I've never encountered the slightest problem when setting up a monitor.
What problems is the product solving and how is that benefiting you?
We use Sifflet to set up slack alerts in case of bad synchronization of our data and also to check some key metrics (alerts if this KPI goes below a certain threshold, alerts if a certain value doesn't behave as expected by machine learning, ...).


    Internet

one Year of Enhanced Data Quality and Literacy with Sifflet

  • April 16, 2024
  • Review provided by G2

What do you like best about the product?
What stands out most about Sifflet is its comprehensive approach to data quality and its powerful data catalog features. As a company deeply embedded in e-commerce and martech, the ability to swiftly identify and resolve data quality issues has transformed our operational efficiency. Sifflet's data catalog has been instrumental in increasing data literacy across our organization. This tool has fostered a robust self-service analytics culture that allows team members across departments to access and interpret data confidently and independently. It is used daily. The setup was straightforward and the platform integrated seamlessly with our existing tech stack, making it an indispensable part of our data management processes.

Sifflet's team significantly enhances our experience; their proactive engagement and excellent support make them a true success partner. From smooth onboarding to leveraging the platform's capabilities fully, their commitment to our needs boosts our confidence and contributes to our growth in the competitive e-commerce and martech space.
What do you dislike about the product?
While Sifflet offers a plethora of advantages, one area that could see improvement is the user interface, which can be a bit overwhelming for new users due to the depth of features offered. A more intuitive design or enhanced onboarding could help new users better navigate and leverage the platform's full capabilities from day one.
What problems is the product solving and how is that benefiting you?
Sifflet is addressing several critical issues for us, primarily around data quality and accessibility. By effectively identifying and resolving data quality issues, Sifflet helps us maintain high standards for the accuracy and reliability of our data. This is crucial for an e-commerce and martech company like ours, where data-driven decisions can directly impact marketing strategies and customer engagement.

Furthermore, Sifflet's robust data catalog capabilities are instrumental in enhancing data literacy within our organization. By providing a centralized system where data is easily accessible and understandable, Sifflet supports our self-service analytics culture. This empowers team members across different functions to access and utilize data independently, fostering a more data-driven environment and facilitating quicker, more informed decision-making processes.

The proactive resolution of data issues and immediate identification of potential data problems have led to more efficient operations and reduced downtime. This directly benefits us by improving our operational efficiency and enabling us to make better-informed decisions with greater confidence, thus driving business growth and enhancing our competitive edge in the market.


    Sriharsha G.

Data quality game changer

  • April 15, 2024
  • Review verified by G2

What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Data Quality and Observabililty. We have been able to identify Data Quality issues as soon as it happens