Sifflet
SiffletExternal reviews
44 reviews
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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
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
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.
Peace of mind with your data
What do you like best about the product?
I like the confidence Sifflet gives our team when it comes to detecting anomalies in our data.
What do you dislike about the product?
It would be great to have a connection into Castor for us to showcase our data monitoring where we have a majority of our documentation.
What problems is the product solving and how is that benefiting you?
Sifflet is keeping us up to date with the most recent changes/updates to all our different data sources. This allows us to work with peace of mind knowing we will be alerted with any major changes/anamolies.
Excellent tool for adding data quality checks, monitoring, data catalog and lineage
What do you like best about the product?
Sifflet has a simple user interface and navigation with powerful functionality underneath. Lineage allows users to drill down into the relationship between tables and data assets and easily view the dependency graph for a given table or column. This makes it easy to understand the impact of data problems or outages. Best data lineage interface seen so far.
Auto-coverage feature, apply monitoring rules to an entire schema in a few clicks, step-by-step documentation speeds integration, and integration covers most popular BI tools as a source.
Also very active in adding new features and incorporating customer suggestions.
Auto-coverage feature, apply monitoring rules to an entire schema in a few clicks, step-by-step documentation speeds integration, and integration covers most popular BI tools as a source.
Also very active in adding new features and incorporating customer suggestions.
What do you dislike about the product?
Nothing to complain about. They're still early in product development, so I'm expecting more features like how each code change affects data, and what happens to data and downstream dependent tables once the code is deployed, right in the pull request.
What problems is the product solving and how is that benefiting you?
I was looking for a data observability solution that could list all data products, show lineage from source tables to user reports. Add data quality rules with minimal effort, detect anomalies and alert in a timely manner. Sifflet covers all of the above
A great tool for data lineage and cross platform overview
What do you like best about the product?
Sifflet is a great tool which provides full visibility of data lineage and dependencies across our organisation's data platform. It really covers everything - from where data comes from in Amazon S3, to how its transformed in dbt with different models and references, and how we surface it with our BI tool [QuickSight].
It is very useful that:
- the tool can be connected to different data sources, it allows great visibility for the team;
- it is the perfect start off tool for debugging and tracking dependencies;
- it has ability to drill down into actual columns and see what each model has;
- in our organisation we were able to integrate two different databases and monitor what is happening in both in parallel;
- communication with the team at Sifflet has been amazing as well. The whole team is very helpful, communicates clearly about new features and really considers product feedback;
It is very useful that:
- the tool can be connected to different data sources, it allows great visibility for the team;
- it is the perfect start off tool for debugging and tracking dependencies;
- it has ability to drill down into actual columns and see what each model has;
- in our organisation we were able to integrate two different databases and monitor what is happening in both in parallel;
- communication with the team at Sifflet has been amazing as well. The whole team is very helpful, communicates clearly about new features and really considers product feedback;
What do you dislike about the product?
The biggest one is tracking lineage when you have a very big model with lots of dependencies. It would be helpful if that tracking can be made more simpler, or at least be considered if people have very coupled models in their platforms.
What problems is the product solving and how is that benefiting you?
Main ones are:
- tracking data lineage and dependencies easily
- seeing relationships from multiple data sources
- tracking data lineage and dependencies easily
- seeing relationships from multiple data sources
Very impressed with Sifflets capabilities
What do you like best about the product?
The thing I really like about sifflet is being able to look at the lineage of my data. It's such an easy platform to spot dependencies.
What do you dislike about the product?
For it's use case to me, I've not really found anything I don't like or would view as a negative.
What problems is the product solving and how is that benefiting you?
Whenever there is a issue or I need to change anything upstream, it makes it dead easy for me to track depencies
Enabler of Cross Platform Data Storytelling
What do you like best about the product?
In summary Sifflet has helped our organisation give full visibility of data lineage across multiple repos (separate dbt projects), and across platforms. We can see where data is coming from in Amazon S3, how it's being transformed as it moves through our dbt projects, and where it's being presented in our BI platform Quicksight.
To call out some of the top features, they would be:-
✅ The ability to connect to multiple data sources; giving you great observability of data no matter what platform you use.
✅ The UI is clean, simple and easy to use. Setting up a new data source is easy, even uploading dbt manifest files via their API is a simple few commands.
✅ Their documentation on getting things set up and working is very easy to read; it’s not bloated and tells you exactly what you need to do.
✅Their communication with us has been a great experience. They’ve fixed bugs we’ve raised to them, informed us of new updates, and overall been very receptive of feedback.
To call out some of the top features, they would be:-
✅ The ability to connect to multiple data sources; giving you great observability of data no matter what platform you use.
✅ The UI is clean, simple and easy to use. Setting up a new data source is easy, even uploading dbt manifest files via their API is a simple few commands.
✅ Their documentation on getting things set up and working is very easy to read; it’s not bloated and tells you exactly what you need to do.
✅Their communication with us has been a great experience. They’ve fixed bugs we’ve raised to them, informed us of new updates, and overall been very receptive of feedback.
What do you dislike about the product?
Sifflet are still developing some features, polishing existing ones and ironing out minor bugs (more like quality of life features). So there’s nothing major that would be a deal breaker.
If I had to call out some points that need development they would be:-
🤔 Their ‘Domain’ feature (ability to put data assets into domains, then limit users to a domain) is still in it’s basic form. It works, but needs some tweaks before it can be a real sellable feature.
🤔Exploring the lineage of a very large lineage graph can be difficult due to the number of relationships/dependencies a model may have. This may be more of an issue with your own DAG architecture than Sifflet, but it’s worth keeping in mind if your models are inherently complex and coupled to one another. Thankfully, Sifflet are working on a new UI for their lineage graph and have demo'd it with us, so this should be a lot smoother in the near future.
If I had to call out some points that need development they would be:-
🤔 Their ‘Domain’ feature (ability to put data assets into domains, then limit users to a domain) is still in it’s basic form. It works, but needs some tweaks before it can be a real sellable feature.
🤔Exploring the lineage of a very large lineage graph can be difficult due to the number of relationships/dependencies a model may have. This may be more of an issue with your own DAG architecture than Sifflet, but it’s worth keeping in mind if your models are inherently complex and coupled to one another. Thankfully, Sifflet are working on a new UI for their lineage graph and have demo'd it with us, so this should be a lot smoother in the near future.
What problems is the product solving and how is that benefiting you?
We recently split our monorepo into many polyrepos; each one being an independent dbt project. This meant we lost lineage observability across repos which made it hard to debug issues and assess impact of change.
Sifflet has enabled us to track data right back to the source, which means when a stakeholder asks “Where did this data come from?” we can trace that data from the dashboard right back to its source and review everything in between 🙌
Sifflet has enabled us to track data right back to the source, which means when a stakeholder asks “Where did this data come from?” we can trace that data from the dashboard right back to its source and review everything in between 🙌
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