IBM Data Observability by Databand
IBM SoftwareReviews from AWS customer
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
67 reviews
from
External reviews are not included in the AWS star rating for the product.
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.
Best in Data Observability
What do you like best about the product?
Catching bad data before it impacts business which helps in better visibility and tracking
What do you dislike about the product?
Need more integrations with all the external data sources. Also, having more marketing and training sessions along with Techtalks will help
What problems is the product solving and how is that benefiting you?
Catching bad data early helps me and business with better sla and visibility
Databand
What do you like best about the product?
Databand is a proactive data observability platform that catches data quality issues before creating costly business impacts. Also, it provides a unified view of all data pipelines.
What do you dislike about the product?
Databand is a relatively expensive tool, so this is a barrier for some data teams. Also, it does not have a wide range of integrations with other tools. Also, it is complex to set up and use it.
What problems is the product solving and how is that benefiting you?
Databand uses machine learning to detect anomalies in data, this helps to identify data quality issues before they cause any problems. Also, it provides data lineage which helps to track the flow of data through a data pipeline.
Abode of DQ !!
What do you like best about the product?
Being a data architect, have seen lot of DQ issues across projects. But once I used Databand, found to be one of the best in the industry to identify, work on any kind of data operations. Stands apart
What do you dislike about the product?
Having used it only once and could not find too many issues in one go. But definitely a good competitor in the market to other products in the space. May be when I use more, would suggest ;)
What problems is the product solving and how is that benefiting you?
When I had a requirement to deal with multiple data sources, it became very much important to handle heterogeneous sources. This also brings in data issues without saying. So Databand came into our support at that time to identify all the anomalies.
Great ML based flow experience with Databand
What do you like best about the product?
Starting off with user interface, it is very user friendly and it is very easy to comprehend while building a pipeline. The input and output inspection is simplified and integration with other services is a plus point.
What do you dislike about the product?
Each band in a particular report has the capability to display information for one table-group, this can be improved. Apart from this there is nothing to dislike.
What problems is the product solving and how is that benefiting you?
It helped in data lineage tracking and performance metrics monitoring. The added advantage is it is a single platform for data teams to interact and exchange information which makes collaboration across teams easier.
showing 31 - 40