Sifflet
SiffletExternal reviews
52 reviews
from
External reviews are not included in the AWS star rating for the product.
Powerful Data Observability for Modern Data Teams
What do you like best about the product?
- Intuitive and user-friendly interface, accessible for both technical and non-technical users.
- Comprehensive end-to-end data lineage and impact analysis, making root cause identification fast and clear.
- Flexible integration with a wide range of data sources, warehouses, and BI tools.
- Automated metadata management and cataloging, streamlining data discovery
- Comprehensive end-to-end data lineage and impact analysis, making root cause identification fast and clear.
- Flexible integration with a wide range of data sources, warehouses, and BI tools.
- Automated metadata management and cataloging, streamlining data discovery
What do you dislike about the product?
- Initial setup and configuration can be time-consuming, especially for complex data environments
- Limited customization of certain dashboard visualizations and data lineage
- Limited customization of certain dashboard visualizations and data lineage
What problems is the product solving and how is that benefiting you?
Data Quality Issues Go Undetected: monitoring automatically detects anomalies, schema changes, and quality issues before they impact downstream users
Lack of End-to-End Data Lineage: Sifflet provides comprehensive data lineage (in some ways better than dbt), making it easy to trace data flows, dependencies, and impacts across the stack
Siloed Data Discovery and Poor Collaboration: the data catalog and discovery features centralize metadata, enabling better discovery and collaboration
Lack of End-to-End Data Lineage: Sifflet provides comprehensive data lineage (in some ways better than dbt), making it easy to trace data flows, dependencies, and impacts across the stack
Siloed Data Discovery and Poor Collaboration: the data catalog and discovery features centralize metadata, enabling better discovery and collaboration
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
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,
Sifflet helped us intercept early data issues and understand impact faster. Less noise, quicker triage.
Data Lineage is very useful to identify the different steps that made a table.
Monitors are useful to detect anomalies,
Sifflet helped us intercept early data issues and understand impact faster. Less noise, quicker triage.
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
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.
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.
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.
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
Efficient data validation tool
What do you like best about the product?
1. New features are added very soon.
2. User friendly UI
3. Rich documentation
2. User friendly UI
3. Rich documentation
What do you dislike about the product?
Many things can be implemented but assuming the age of the product it is still fine than other tools compared.
What problems is the product solving and how is that benefiting you?
Basically using for 3 things as of now:
1. Data quality
2. Anamoly detection
3. Alerts management
1. Data quality
2. Anamoly detection
3. Alerts management
showing 11 - 20