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An ergonomic tool that responds perfectly to the business and technical challenges of data quality
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)
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.
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A powerful data monitoring tool
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.
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, ...).
one Year of Enhanced Data Quality and Literacy with Sifflet
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.
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.
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.
Data quality game changer
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.
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.
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
A core component of our Data Strategy and Transformation
What do you like best about the product?
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
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
What do you dislike about the product?
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
What problems is the product solving and how is that benefiting you?
Sifflet has allowed us to better understand, identify, and solve data breakages and quality issues. We have improved our global incident management and error management by 167% within 6 working weeks.
It has also aided in the knowledge management of different data assets and their relationships. We had a huge issue of single person dependency on knowledge of data until we got this tool.
It has also aided in the knowledge management of different data assets and their relationships. We had a huge issue of single person dependency on knowledge of data until we got this tool.
Great for companies that wants to improve their data quality monitoring and observability.
What do you like best about the product?
1) Ease of use from Day One. Most of my team members find it easy to pick it up and apply it to their work.
2) We are lucky to have good customer success support, which faciliates learning and giving feedback. They have been responsive to our needs too.
2) We are lucky to have good customer success support, which faciliates learning and giving feedback. They have been responsive to our needs too.
What do you dislike about the product?
1) Sifflet is still quite a new tool, and the breadth of integration is still not there yet.
2) Most of the operations still require us to work directly on the UI, but it will be good if they start allowing more API-based use-cases.
3) As we want to introduce it to other users, perhaps better user-level access controls to allow for diverse users (beyond data team) might be helpful.
2) Most of the operations still require us to work directly on the UI, but it will be good if they start allowing more API-based use-cases.
3) As we want to introduce it to other users, perhaps better user-level access controls to allow for diverse users (beyond data team) might be helpful.
What problems is the product solving and how is that benefiting you?
Get up to speed to start having data observability tools
Simple set up and usable results quickly
What do you like best about the product?
Simple to use
Data quality monitors cover a wide variety of use cases, including writing your own SQL
lineage gives you column level breakdown
Domains and tags enable you to group like elements together
Nice monitor dashboard
Connectivity of monitors to mulitple communication tools.
Data quality monitors cover a wide variety of use cases, including writing your own SQL
lineage gives you column level breakdown
Domains and tags enable you to group like elements together
Nice monitor dashboard
Connectivity of monitors to mulitple communication tools.
What do you dislike about the product?
Data quality monitors can tricky to parse setting up. You need to think through what you want to achieve.
Limited ETL and BI sources but more are in the pipeline.
Limited ETL and BI sources but more are in the pipeline.
What problems is the product solving and how is that benefiting you?
Most warehouses end up a spaghetti mess of inter-connected tables and views. Sifflet helps you see where a problem has occured and understand the knock-on affect into other tables.
The monitors allow you to check data at the individual field level (is this value within an expected range?) to a more strategic level (is the volume of data processed in-line with average for the last x days?).
The lineage enables you to dive into an issue and understand the contagion of a problem into other tables and into reporting.
The monitors allow you to check data at the individual field level (is this value within an expected range?) to a more strategic level (is the volume of data processed in-line with average for the last x days?).
The lineage enables you to dive into an issue and understand the contagion of a problem into other tables and into reporting.
Sifflet data visualisation tool
What do you like best about the product?
Sifflet data visualisation tool helped me to manage and monitor that data. I was able to find the anomaly in the data table using the sifflet. The lineage visualisation in the sifflet was helpful to find the problems in the data table and rectify it.
What do you dislike about the product?
There's no major dislikes in this tool. As it's new tool there some features and functionality needs to improve and api support would be helpful for the developers.
What problems is the product solving and how is that benefiting you?
Sifflet helped me to monitor the data and visualize the data. Sifflet lineage table view was helpful to find the problems in the data table and rectify it. Sifflet helped our organisation to manage data
Awesome sifflet
What do you like best about the product?
Helps in data and meta data monitoring covering thousands of tables producing collaboration between engineers and consumers of the data.
Perfect accuracy of the datasets are maintained.
The organisation of data is clear and crisp which makes user to read it easily
Perfect accuracy of the datasets are maintained.
The organisation of data is clear and crisp which makes user to read it easily
What do you dislike about the product?
I don't think I dislike anything on this since it helps us in monitoring the data assets, big chunks of data and also huge infrastructure in one place.
Ensures the reliability of pipelines and observe some of the schema changes overall
Ensures the reliability of pipelines and observe some of the schema changes overall
What problems is the product solving and how is that benefiting you?
Convenient to have data catalog along with data quality feature.Helps trouble shooting time by half and improvise the business users data observability Helps maintaining the data quality at scale
A great platform to drive data at scale!
What do you like best about the product?
The best part about the tool is that it did not put us through an initial heavy configuration. It seamlessly integrates with major cloud environments. Helped to leverage ML based rules to detect anomalies in the data.
What do you dislike about the product?
There was no available Hadoop and Elastisearch Integrations. This is one of the biggest drawbacks for people using it for major dataloads. Apart from that no issues with the tool.
What problems is the product solving and how is that benefiting you?
It helped us with interacting with major workloads. Major benefit was integrations with S3 buckets to manage in the cloud data. The dashboard was unique with simple interaction.
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