Sifflet
SiffletReviews from AWS customer
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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.
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
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
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