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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Software as a Service (SaaS)
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Customer reviews
Erin C.
Centralized Visibility and Smart Alert Correlation
Reviewed on Jul 29, 2026
Review provided by G2
What do you like best about the product?
the centralized visibility and alert correlation
What do you dislike about the product?
The interface could possibly feel overwhelming for new users
What problems is the product solving and how is that benefiting you?
It reduces alert overload by consolidating related alerts into a single incident
Chris S.
Streamlined Alert Management with BigPanda
Reviewed on Jul 28, 2026
Review provided by G2
What do you like best about the product?
I find BigPanda extremely useful for alert aggregation and monitoring, serving as our go-to platform for managing alerts from various source systems. I like how it consolidates all alerts onto one screen, groups similar alerts, and allows us to see who is assigned to each alert. The ease of integration from different sources is also a huge plus. It saves time and boosts my team's efficiency, enabling us to be more proactive with alerting. I also appreciated that the initial setup was pretty easy and I like the versatility that BigPanda offers.
What do you dislike about the product?
I find that BigPanda's mobile functionality could use some improvement. It's not very easy to see and close alerts on mobile devices, and navigating the mobile interface can be a bit cumbersome. Enhancing the mobile UI would definitely make it easier to view and interact with alerts efficiently.
What problems is the product solving and how is that benefiting you?
BigPanda aggregates alerts, making monitoring efficient by displaying all alerts on one screen and grouping them. It integrates easily with different sources, saving time and enabling proactive alert management, crucial for our app support workflows.
Gayathri R.
Helpful Alerting Automation, with Room to Do More
Reviewed on Jul 28, 2026
Review provided by G2
What do you like best about the product?
It has been very helpful in automating one of our critical alerting engines.
What do you dislike about the product?
Pretty costly so comparisons with the other options constantly are made. The interface is not easy for beginners
What problems is the product solving and how is that benefiting you?
It automates a critical requirement of monitoring, thus helping the Ops and command center to stay abreast of updates in the cluster
Edward T.
A Game-Changer for Alert Management
Reviewed on Jul 09, 2026
Review provided by G2
What do you like best about the product?
I like that BigPanda consolidates alerts by feeding data from all of our separate monitoring tools and grouping the noise into single, actionable incidents. It helps in reducing alert fatigue, speeds up root cause analysis, and stops team finger pointing. I appreciate how I can immediately see the sequence of events like a network switch dropping first, causing the database to time out, and then the app to fail. This insight prevents redundant work and ends the blame game, so there's less dashboard hopping. The initial setup was also pretty straightforward, I'd rate it a 9 out of 10.
What do you dislike about the product?
Nothing in particular, just started using it.
What problems is the product solving and how is that benefiting you?
I use BigPanda for alert consolidation, reducing alert fatigue, speeding up root cause analysis, and ending team blame games. It saves time by reducing dashboard hopping and preventing redundant work.
Stephen V.
Filters Out Irrelevant Data So IT Can Focus on Critical Threats
Reviewed on Jul 07, 2026
Review provided by G2
What do you like best about the product?
I like that it filters out irrelevant data, so IT operators can focus on the most critical threats.
What do you dislike about the product?
Haven’t really found anything that I dislike about it.
What problems is the product solving and how is that benefiting you?
It keeps me from having to do incident reports on my own.