Overview

IBM Databand is an observability software for data pipelines and warehouses that automatically collects metadata to build historical baselines, detect anomalies and triage alerts to remediate data quality issues.

How it works:

Collect: Databand automatically collects metadata to gain immediate visibility, so data platform teams have a standard method for customized data quality validations. Baseline: Next, Databand builds historical baselines based on common run and data behaviors, essentially profiling the data pipeline landscape. Alert: Once the historical baseline is established, Databand alerts on anomalies and rules based on deviations relative to the profile and/or rule breaches. Remediate: Lastly, Databand allows you to create smart communication workflows to remediate data quality issues and keep data deliveries on track. For custom configuration and pricing please contact: Databand_AWS_Self_Hosted_purchase@wwpdl.vnet.ibm.com

Highlights

To go from simply observing data incidents to resolving them fast, IBM Databand provides single-pane-of-glass data incident management
To catch data process, pipeline errors and bad data quality issues sooner, IBM Databand provides unified, centralized data pipeline and warehouse monitoring
To remove bad data surprises from your data pipelines and datasets, IBM Databand delivers automatic anomaly detection, end-to-end data lineage and impact analysis

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IBM Data Observability by Databand

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12-month contract (1)

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Dimension	Cost/12 months
IBM Databand 200 Resource Units	$240,000.00

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Software as a Service (SaaS)

SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

Resources

Vendor resources

Documentation for IBM Databand

Gartner® Innovation Insight: Data Observability Enables Proactive Data Quality

IBM Databand demo center

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61 external reviews

External reviews are sourced from G2 and are not included in the star rating for this product.

Shrideep T.

One in a kind monitoring capabilities

Reviewed on Aug 08, 2024

Review provided by G2

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.

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Computer Software

Data collection,analysis, Alerts, Remidation all automatically

Reviewed on Jul 09, 2024

Review provided by G2

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

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Sriram P.

One of the Robust tools for data monitoring with loaded features with loaded fearures

Reviewed on Jul 07, 2024

Review provided by G2

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.

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

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ABHISHEK R.

Databand for data engineers for better data quality and reliable data pipelines

Reviewed on Jul 03, 2024

Review provided by G2

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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Nourhan A.

Proactive Data Monitoring with IBM Databand: A Must-Have for Fintech

Reviewed on Jul 01, 2024

Review provided by G2

What do you like best about the product?

I use IBM Databand to keep our data clean. It's great at spotting problems before they happen by checking data health and warning me about potential issues. This helps me fix things early and keeps bad data out of our warehouse. It's like a data alarm, catching leaks before they cause big problems.

What do you dislike about the product?

The features are great, but the user interface could be more user-friendly. Navigating complex pipelines can be a bit overwhelming, so a simpler layout would be a big improvement.

What problems is the product solving and how is that benefiting you?

At Paymob, we handle a ton of sensitive financial data, so accuracy is non-negotiable. Databand is crucial for spotting problems in our data pipelines before they turn into disasters. This saves us huge amounts of time and resources that would otherwise be spent fixing errors downstream. In a nutshell, Databand helps us ensure our data is trustworthy, which is essential for making sound business decisions and maintaining the trust of our customers.

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