- Not just being free but how easy everything is when compared against other services out there for managing project repositories we've seen GitLab mentioned here once too which was another one i recently used before coming upon data band because my current solution didn’t fulfill requirements well enough hence why me moving away now..It seemed easier than gitlab initially although maybe due t o lackluster tutorials provided alongside software? Overall user interface
Databand Review
4
·
Very good
Rating
4.9
IT Infrastructure, Data Preparation
Description of Databand
Databand is an observability platform for data engineering teams.
Data engineering teams are responsible for managing a wide suite of powerful tools, but lack the utilities they need to make sure their ops are running properly. Databand fills this gap with a solution that enables teams to gain a global view of their data flows, make sure pipelines complete successfully, and keep tabs on resource consumption and costs. Databand fits natively in the modern data stack, plugging seamlessly into tools like Apache Airflow, Spark, Kubernetes and various ML offerings from the major cloud providers.
Pros
Pros
- Excellent customer care
- Easy installation process.
- Very effective analytics platform,
- Great API integration possibilities
Pros
- Excellent features like cost effective solution for managing your docker instances.No hidden charges..and many other reasons.as per customer experience..but downside is when no data present inside EBS volumes ,it show zero value only
Cons
- Will fit
Pros
- User friendly
- Flexible interface allows tailoring views easily per need.
- Ability integrate different data source types into single view is wonderful eXtraordinarily handy especially if working remotely / not able tpo inspect underlying services directly through CLI due lack access rights.
- Very intuitive design no coding knowledge needed at least where basics go
- Support team super responsive &
Cons
- Lack options regarding scheduling updates frequency