Data pipeline tracking and data quality monitoring capabilities Review collected by and hosted on G2.com.

IBM Databand being the first data pipeline monitoring tool had a learning curve for me. Review collected by and hosted on G2.com.

I like the pipeline management capabilities of this tool. Also data observation and real time alerts make it different from others Review collected by and hosted on G2.com.

There is so much it does that there nothing comes in my mind as I dislike it but I found it difficult when dealing with complex problem architectures Review collected by and hosted on G2.com.

This tool helped us a lot to find the errors in the early stages making the data reliable.

It comes with ability to capture the metadata implicitly which is a great character. Review collected by and hosted on G2.com.

The user interface is bit complex and initially i struggled to use. Review collected by and hosted on G2.com.

Since I am AIX certified so can understand security and reliability of the system, we can understand complexity of the continuous intigration, and cofiguration pipeline. Review collected by and hosted on G2.com.

Little complexity can be seen in the UI for new users, needs to be more userfriendly. Review collected by and hosted on G2.com.

It help collect data automatically and process or analysis data generate alerts on abnormalities of data and we can create workflow to fix the abnormalities Review collected by and hosted on G2.com.

Not able to found any dislikes, it's a greate product from a greate organization Review collected by and hosted on G2.com.

Basically, A databand is a observability software for data pipelines, Warehouses and Data Storages. Mostly, I like few below points in databand :

1. It is completely automatic tool/software which collects metadata to gain immediate visibility.

2. Improves data quality

3. It alerts on anomalies and rule breaches.

4. It resolves the error in few time

5. Improves data reliability Review collected by and hosted on G2.com.

There are few challenges which I faced while using data observability tools :

1. Some times it provides learning curves which needs time to understand, training and implementation.

2. It is difficult to use databand for complex architectures or data pipelines

3. Processing and monitoring of complex data pipelines can impact the performance of data pipelines. Review collected by and hosted on G2.com.

It catches the issues early in the pipeline. So with Fail First, comes correct first. We can fix the issues in the pipeline and get our warehouse up and correct Review collected by and hosted on G2.com.

The User Interface is little overwhelming I feel. Also the issue is of Vendor lockin. You will get tied to IBM tool and shifting is a huge effort. Review collected by and hosted on G2.com.

The thing I like about IBM Databand the most is helped me find data errors quickly and it helped me in maintaining data quality. Review collected by and hosted on G2.com.

I dont have any dislike for IBM Databand Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

helps detect missing operations, failed jobs and run durations Review collected by and hosted on G2.com.

Nothing at all. You can add more service in it. Review collected by and hosted on G2.com.