Sold by: BigPanda
Deployed on AWS
BigPanda Incident Intelligence and Automation, powered by AIOps, supports companies of all sizes to prevent service outages, improve incident management, and deliver extraordinary customer experiences.
4.5
Overview
ITOps, NOC, DevOps and SRE teams struggle with manual and reactive incident response capabilities that are badly suited for the scale, complexity and velocity of modern IT environments, resulting in painful outages. BigPanda helps by transforming IT data into actionable intelligence and automation, enabling incident response teams to increase uptime, efficiency, and velocity.
For a custom quote or private offer, please contact your local BigPanda representative.
Highlights
- Collect, filter and enrich your siloed observability data, eliminating noise
- Use AI to correlate observability, topology and change data, accelerating triage
- Automate incident investigation, escalation and remediation processes, reducing MTTR
Details
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Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
P20 | 20,000 Credits with 1000:1 Events to Credit Ratio | $231,840.00 |
P30 | 30,000 Credits with 1000:1 Events to Credit Ratio | $347,760.00 |
P40 | 40,000 Credits with 1000:1 Events to Credit Ratio | $463,680.00 |
P50 | 50,000 Credits with 1000:1 Events to Credit Ratio | $579,600.00 |
P60 | 60,000 Credits with 1000:1 Events to Credit Ratio | $695,520.00 |
Dimensions summary
You buy annual credit capacity across five tiers: P20, P30, P40, P50, and P60. Each tier sets your credit limit, from 20,000 credits up to 60,000 credits. Higher tiers give you more annual capacity. Every tier uses the same 1000:1 events-to-credit ratio, so 1,000 events consume one credit. Credits form a single pool you can apply across the platform's products, not a fixed balance that counts down. You meter against your tier's capacity throughout the year. Pick the tier that matches your expected event volume and product usage.
Top-of-mind questions for buyers
An event is a signal ingested from your monitoring, observability, and other tools. The platform processes these events to reduce noise and surface incidents. At the 1000:1 ratio, every 1,000 events consume one credit against your tier's capacity.
Yes. Credits form a single platform-level pool, not a product-specific balance. You can apply them across AI Incident Prevention, AI Detection and Response, L1 Agent, and AI Incident Assistant. Credits shift between products as your needs change, with no separate budgets required.
Unused credits do not carry forward to the next period. Each tier gives you annual capacity up to your credit limit, which you meter against throughout the year. Remaining credits can be used for any product on the platform before the term ends.
www.bigpanda.io
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Delivery details
Software as a Service (SaaS)
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Support
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Sagar L.
BigPanda Simplifies IT Operations.
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
BigPanda consolidates alerts from multiple monitoring platforms and filters out noise, helping operations teams quickly identify actionable incidents, prioritize critical issues, and engage the appropriate technical teams. Once you grasp how it works, it becomes highly practical.
What do you dislike about the product?
The initial setup and tuning take time. Integrating multiple monitoring platforms and fine-tuning alert-correlation rules took us longer than expected.
What problems is the product solving and how is that benefiting you?
BigPanda has solved our problem of dealing with hundreds of alerts from various monitoring tools. Correlated incidents are grouped together, reducing duplicate alerts and providing our operations team with a centralized view of incidents. We can prioritize issues faster, coordinate better with support teams, and spend less time logging into multiple monitoring tools.
Nirmesh S.
BigPanda: Best-in-Class Alert Consolidation and Incident Correlation
Reviewed on Aug 31, 2026
Review provided by G2
What do you like best about the product?
Best AI platform for managed services teams, such as Security or Enterprise Infrastructure, where Bigpanda consolidates alerts coming from different tools like Grafana, AppDynamic, Datadog, and Splunk, and correlates them to identify what caused an incident.
What do you dislike about the product?
When you’re paying for multiple tools plus an orchestration tool, you end up questioning the value you’re getting from the application. Because of that, I see BigPanda as a better fit for larger enterprises that serve global customers, rather than for small and medium-sized businesses.
What problems is the product solving and how is that benefiting you?
It helps end users take a consolidated, more refined approach to handling an outage, instead of having to check and validate multiple applications.
Gaurav T.
Powerful Alert Correlation and Incident Automation, But Setup and Pricing Can Be Tough
Reviewed on Aug 30, 2026
Review provided by G2
What do you like best about the product?
helps businesses and correlate alerts, reduce or alert noise, and automate incident management and i think its good for me
What do you dislike about the product?
What I think about is the initial setup complexity when integrating so many diverse monitoring tools. After that, pricing can be high for smaller teams or organizations.
What problems is the product solving and how is that benefiting you?
It reduces alert noise by correlating thousands of monitoring alerts into a single, actionable incident. When I use it, resolution is faster because it uses AI to find root causes quickly and suggest good fixes. It also improves collaboration by streamlining communication for IT teams during outages. That’s all.
Rao Venkata R.
"Effective MTTR Reduction, Though Rule Fine-Tuning Takes Time"
Reviewed on Aug 29, 2026
Review provided by G2
What do you like best about the product?
BigPanda’s Open AIOps engine is excellent at cutting through massive alert noise. In a complex environment with multiple monitoring sources such as Dynatrace, Splunk, and ServiceNow, BigPanda seamlessly correlates thousands of raw events each day into high-confidence, actionable incidents. Its real-time topology mapping and automated root-cause analysis give operational teams clear, end-to-end visibility, helping drastically reduce our MTTR (Mean Time to Resolution) without forcing engineers to constantly switch between separate dashboards.
What do you dislike about the product?
The biggest drawback for me is the complexity of the initial setup. Fine-tuning event-correlation patterns to fit a large environment takes time and requires careful, ongoing adjustments so you don’t miss important signals. The user interface also comes with a bit of a learning curve, especially for team members who are new to the platform.
What problems is the product solving and how is that benefiting you?
BigPanda helps solve alert overload and fragmented monitoring across disparate IT tools. By consolidating signals, automating incident enrichment, and triggering automated ticketing in ServiceNow, it turns chaotic event storms into structured, actionable workflows. As a result, it has drastically reduced manual triage, helped prevent false alarms from disrupting on-call shifts, and improved overall infrastructure uptime.
Shubham .
Efficient Alert Management with Integrated Insights
Reviewed on Aug 29, 2026
Review provided by G2
What do you like best about the product?
I mainly use BigPanda to keep track of alerts and issues in one place. I like how it brings related alerts and issues together, which saves a lot of time. It makes it easier to figure out what is actually causing problems instead of having to check every alert separately. The initial setup was fairly easy and once completed, it was smooth to use. Overall, BigPanda has been useful for managing alerts and incidents, and I've had a good experience with it.
What do you dislike about the product?
I feel the interface is overwhelming initially, especially with a lot of alerts and data.
What problems is the product solving and how is that benefiting you?
I use BigPanda to keep track of alerts and issues all in one place. It solves the problem of dealing with too many alerts at once, saving time and making it easier to identify what's causing the problem.