IBM Data Observability by Databand
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Simplifying Data Pipeline Monitoring With Precision And Ease
What do you like best about the product?
I like the ability to provide real time visibility in to data pipline which helped to identifying andresolve issues before they escalate and also i ilke the seemless intigration with Apache Airflow and spark.
What do you dislike about the product?
IBM databand is powerful but has a steep curve for new users,manking onboarding a bit challanging.Its pricing can be high for smaller teams,Limited Accessibility for startops or small scale projects.
What problems is the product solving and how is that benefiting you?
It helped to check data quality and also based the data for decision making.
IBM Databand Useful for data analytics
What do you like best about the product?
Extract , transform and load capabilities of IBM Databand.Monitor data pipeline errors such as failed runs, longer than expected durations, missing data operations, and unexpected schema changes.
What do you dislike about the product?
The self error resolution mechanism is missing from the experience
What problems is the product solving and how is that benefiting you?
The IBM is streamline the ETL process of the business. Helps in monitoring process and task.
Good set of data reliability with some room for evolution
What do you like best about the product?
What I liked about it?
I actually loved the dashboard and simplicity of using it. Key metrics are easily accessible. End to end visiblity in data pipeline, clear understanding of flow and transformation of data which eased the developement as well as root cause analysis of ETLs.
upsides of IBM databand: scalability, dynamic reporting, pipeline anomly detection, insights, monitoring
I actually loved the dashboard and simplicity of using it. Key metrics are easily accessible. End to end visiblity in data pipeline, clear understanding of flow and transformation of data which eased the developement as well as root cause analysis of ETLs.
upsides of IBM databand: scalability, dynamic reporting, pipeline anomly detection, insights, monitoring
What do you dislike about the product?
I had some problem while navigating in some complex pipelines, some improvements are required there. For new users it can be overwhelming experience. It is also not compatible with few 3rd party integrations, they should add more service to it. Aart from above I didn't find any major downside.
What problems is the product solving and how is that benefiting you?
Databand tracks metrics with accuracy and flags anomalies automatically which solves the problems of poor data quality leading to inaccurate results. IBM databand also helped in solving the issue which some data pipeline may have, "the lack of visibility". IBM databand directly helps in finding pinpoint bottlenecks and dependacies.
A good Data quality ensurer
What do you like best about the product?
It really helps for timely delivering of data.
What do you dislike about the product?
Sometimes it creates unnecessary alerts.
What problems is the product solving and how is that benefiting you?
Helping in creating workflows and timely delivering of data.
Wonderful system
What do you like best about the product?
Best part is that it automatically detects metadeta that creates datasets
What do you dislike about the product?
Nothing as such i disliked , all good till now
What problems is the product solving and how is that benefiting you?
Solving 75% of my work
Easy tool Too use i recommend it trust me
What do you like best about the product?
User frendly and easy to use love this tool
What do you dislike about the product?
Pricing can be high for smaller teams, and mastering some advanced features requires extra time. Occasionally, dashboards have slight lags with large datasets, and offline functionality is limited because of its reliance on the cloud. Its value would be further enhanced by adding more integration options and allowing greater flexibility in the customization of reports
What problems is the product solving and how is that benefiting you?
It helps me to detect and resolve issues in real time, and with proactive alerts and comprehensive insights, it lets me know before it affects operations. It has smooth integration with tools like Apache Airflow, which makes workflow management easier, and its automation saves time because of reduced manual effort. It increases productivity, improves decision-making, and helps ensure smoother, more efficient data operations.
One in a kind monitoring capabilities
What do you like best about the product?
Data pipeline tracking and data quality monitoring capabilities
What do you dislike about the product?
IBM Databand being the first data pipeline monitoring tool had a learning curve for me.
What problems is the product solving and how is that benefiting you?
Enabling the tracking of the data flow helps with retracing the data retrieval process for our GenAI solutions and tweaking the chunk size or sampling parameters for a better RAG system.
Data collection,analysis, Alerts, Remidation all automatically
What do you like best about the product?
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
What do you dislike about the product?
Not able to found any dislikes, it's a greate product from a greate organization
What problems is the product solving and how is that benefiting you?
Collect , analysis, trigger and Remidation all is done seemlessly after configuration all is really helpful
One of the Robust tools for data monitoring with loaded features with loaded fearures
What do you like best about the product?
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.
It comes with ability to capture the metadata implicitly which is a great character.
What do you dislike about the product?
The user interface is bit complex and initially i struggled to use.
What problems is the product solving and how is that benefiting you?
Data consistence
Databand for data engineers for better data quality and reliable data pipelines
What do you like best about the product?
The first and foremost thing that attracts is ease of use and the way it implements required checks, the alerts that help in identifying the data issues and act on them quickly, and the overall reliable data process for downstream system
What do you dislike about the product?
As of now dont see any bottlenecks or issues with IBM databand
What problems is the product solving and how is that benefiting you?
So there needs no manual intervention when it comes to observing and acting whenever a data pipeline faces data quality issues
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