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Databand : First step towards data pipeline observability
What do you like best about the product?
Being a data-driven company, we have to have our data engineering very strong where databand greatly helps to
- Automate RCA(Root cause analysis)
- Improve our data engineering day by day to filter quality
- Automate RCA(Root cause analysis)
- Improve our data engineering day by day to filter quality
What do you dislike about the product?
- Yet to scale for high throughput ingestion data pipeline
What problems is the product solving and how is that benefiting you?
We have ingestion pipelines preparing data to feed our models and as an observability tool, we are using Databand. It helps to automate Root Cause Analysis as well as helps us to filter out bad quality data. Databand being a real-time observability tool helps us to identify problems in our data pipeline ASAP even with the RCA. We are yet not using this toll for data preparation yet, but in future we might think of if the scale fits
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One of the Best Data observability Software
What do you like best about the product?
I like it's ability to capture metadata automatically, set historical baselines, and use the alerting system to warn them of irregularities and rule breaches.
What do you dislike about the product?
There isn't much to dislike about data observability systems like Databand, but for some consumers with limited technical understanding, it can be complex and pricey.
What problems is the product solving and how is that benefiting you?
My Organinzation is using this tool for various purposes in data Observability and Transformation Specifically from my perspective by using triggers and alerts the tool assists in observing data flow from source to destination and also offers insights for future decision-making, and warning users of anomalous dataflows.
this usually helps me to build huge datasets and identify the data quality issues.
What do you like best about the product?
the various options available in the portal is good for data analyst & engineers to check data quality, monitor pipelines and more operations.
What do you dislike about the product?
I haven't used it a lot, but I didn't find any dislikes in this product.
What problems is the product solving and how is that benefiting you?
I tried to visualize the data but at there I didn't understood the overall view.
Observability and visibility to another level
What do you like best about the product?
Datalineage, observability, alerting and monitoring are the best features. It has ability to connect with various datasources.
What do you dislike about the product?
Although it has a vast connectivity and robust features, sometimes it feels some features requires more learning curve.
What problems is the product solving and how is that benefiting you?
Databand offers real-time monitoring and alerting capabilities for data pipelines. It helps users detect and address issues and bottlenecks as they occur, ensuring the reliability and performance of data workflows.
Data quality is a common data management challenge, and Databand provides checks and validation to maintain accuracy throughout the pipeline.
Data quality is a common data management challenge, and Databand provides checks and validation to maintain accuracy throughout the pipeline.
Great experience to track your data and outputs.
What do you like best about the product?
The most important thing that I liked while using the databand is that it allows an easy way to connect your data and output with just a click. It really helped us solve our data inconsistency problem.
What do you dislike about the product?
The one thing that at could be improved is the reduction of manual coding to make a page to track our kpis. If some automated flows can be developed, then it will really help the users.
What problems is the product solving and how is that benefiting you?
It is solving some important problems of Data observability by easily tracking kpis. Personally, it helped us solve our data related problems because we used to get data where we had problems on daily basis. So it helped us directly get this objective solved.
It was a good experience
What do you like best about the product?
The user interface is very good, but minor improvements could be made. Also the information provided is crisp and up to the point , not too much not too scarce.
What do you dislike about the product?
the user interface could be a bit informative. the ui ux team could do better and not to mention you are doing very well. but as said there is always room for improvement
What problems is the product solving and how is that benefiting you?
databand is giving me refined and cleaned data which is credible and free from error as a result I don't have to perform various cleaning task and saves my time nd energy
Platform for your observability and monitoring needs
What do you like best about the product?
Ability to provide monitoring solution for Data , usecases such as anamoly and pipeline monitoring using mix of spark and snowflake which is really good to have.
What do you dislike about the product?
Data ops os good with Databannd but model ops is still not there for ML practioner whose model is in production the tool doesn't have lot to offer for ML teams.
What problems is the product solving and how is that benefiting you?
It gives you Data lineage that is data time travel history, helps you in account level management for all the privillege regarding the table and datastores and it also helps in theonservablity of the always coming data.
Operational feedback for Databand
What do you like best about the product?
Databand helps users to view, identify and resolve issues related to data quality, and data assurance across multiple platforms. The tool is getting updated frequently to meet the rising demands of any user, and the services provided to the users using a massive chunk of data without losing the integrity and ease of use access.
What do you dislike about the product?
Databand is minimized to the limit of updates made on the software to make it optimal. One thing would be great to have the tool to reduce the software's size to use at my workplace without any problem.
What problems is the product solving and how is that benefiting you?
Databand offers great help in identifying the different kind of issues that arise when data quality for a dataset is inconsistent.
Databand review
What do you like best about the product?
It helps in tracking pipeline health status and failures and datasets impacted from it. It allows us to setup alerts and keep a track of the same.
What do you dislike about the product?
None as of now. The product is doing what is required for keeping a track of the pipeline health.
What problems is the product solving and how is that benefiting you?
Keeping a track of Datafailures and taking necessary steps
Simplifying Complex Data Workflows
What do you like best about the product?
Databand is an exceptional tool for managing and monitoring data pipelines. Its intuitive interface and extensive integrations make pipeline development a breeze. The platform's observability and monitoring features provide valuable insights and help identify and resolve issues quickly. With detailed lineage and data quality information, ensuring data integrity becomes effortless. Databand promotes seamless collaboration among teams, enhancing productivity. The support team is top-notch, offering prompt and knowledgeable assistance. If you're in need of a reliable and efficient solution for data workflows, Databand is the way to go. It's a game-changer that exceeds expectations.
What do you dislike about the product?
Steep learning curve for beginners due to its extensive features and functionalities and limited pricing options, which may not be suitable for small-scale projects or organizations with limited financial resources.
What problems is the product solving and how is that benefiting you?
Databand solves the challenges of managing and monitoring data pipelines by providing efficiency, observability, and collaboration. It benefits us by reducing pipeline complexities, identifying and resolving issues faster, ensuring data integrity, promoting teamwork, and maximizing productivity. Databand streamlines data workflows and empowers us with reliable and efficient data management solutions.
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