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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
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Review
What do you like best about the product?
It's the automated monitoring coverage. It made the job easier.
What do you dislike about the product?
none so far. I love the product! Made the job easier.
What problems is the product solving and how is that benefiting you?
Using the templates.
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 good experience
What do you like best about the product?
It is easy to learn how to use the platform, well documented
What do you dislike about the product?
We need other functionality or maybe evolution on old ones
What problems is the product solving and how is that benefiting you?
Checking the quality of supply chain data with the basic controls : duplicates, integrity, completness and freshness
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 🙌
A cool data quality tool
What do you like best about the product?
- You can see your datasources classified in sources, asset types, status and usage.
- The UI is cool and really easy to use.
- You can setup alerts using custom sql.
- It has integrations with Postgres, Firebolt, Snowflake and other well known DB.
- The UI is cool and really easy to use.
- You can setup alerts using custom sql.
- It has integrations with Postgres, Firebolt, Snowflake and other well known DB.
What do you dislike about the product?
- The API is still in development, then you need to work in the web page to use the most of its features.
- Since it is a tool relatively new, there is not too much community to ask for help (although I haven't found necessary yet)
- Since it is a tool relatively new, there is not too much community to ask for help (although I haven't found necessary yet)
What problems is the product solving and how is that benefiting you?
To check problems in my data, for example if a field needs to be not null and suddenly it starts to be that way, I can be alerted in a short amount of time, and start to work in solutions.
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