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
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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
Telecommunications
Exceptional event correlation that slashes MTTR, despite complex legacy integrations.
Reviewed on Sep 07, 2026
Review provided by G2
What do you like best about the product?
I highly value its intelligent event correlation engine, which dramatically reduces alert noise from our diverse monitoring stacks and helps the team focus on actual critical incidents.
What do you dislike about the product?
The initial configuration and fine-tuning of custom correlation logic for our older, legacy monitoring tools required a steeper learning curve and much more time than initially anticipated.
What problems is the product solving and how is that benefiting you?
It mitigates severe alert fatigue by clustering thousands of raw monitoring events into actionable incidents, which significantly accelerate our mean time to resolution (MTTR) and minimizes service disruptions.
Juhi P.
Redefined Incident Management with Efficient Alert Handling
Reviewed on Sep 06, 2026
Review provided by G2
What do you like best about the product?
I find BigPanda most appealing because it effectively filters out alert noise and provides a concentrated perspective on situations. It simplifies incident triage by grouping related events together, which makes it easier to identify and focus on the problems that truly matter. This means my team spends less time chasing a long list of individual alerts and can concentrate on the issues that require attention. The process significantly reduces time spent on incident prioritization and helps us get to the root of problems more quickly. The initial setup was straightforward, and once integration was implemented, the platform was simple to use for my team.
What do you dislike about the product?
The amount of tweaking required to enable the correlation and alerting to function precisely as desired is one area that could be improved. To ensure that related events are appropriately categorized and the team isn't still experiencing needless noise, some fine-tuning may be necessary in a larger setting. Additionally, I would like additional freedom to modify incident views and dashboards for various operations teams. Stronger incident reporting and analytics are other things I'd like to see. Without requiring as much human analysis, it would be helpful to simply monitor trends like recurrent problems, alert volume, and response times. The team would be more confident in the incident suggestions if they had better insight into the reasons behind the correlations between certain incidents.
What problems is the product solving and how is that benefiting you?
BigPanda reduces alert noise and consolidates related events, streamlining incident management and improving prioritization. It saves us time on individual alerts and boosts incident response efficiency, allowing the team to focus on critical issues.
Summati M.
BigPanda Quickly Correlates IT Alerts to Resolve Incidents Faster
Reviewed on Sep 02, 2026
Review provided by G2
What do you like best about the product?
I like big Panda because it quickly identify and correlates IT shows helping teams, resolve incident faster and reduce downtime
What do you dislike about the product?
I dislike that my big panda can be complex to configure and may require significant customisation for special business
What problems is the product solving and how is that benefiting you?
Big Panda reduces alert noise and quickly identifies the root cause of IT incidents, helping me resolve issues faster and minimise downtime
Mohit M.
BigPanda Speeds Incident Resolution with Smart AI Alert Correlation
Reviewed on Sep 02, 2026
Review provided by G2
What do you like best about the product?
I like big panda because it leverages AI to correlate and prioritise IT alerts helping identify and resolve incidents faster.
What do you dislike about the product?
One thing I dislike about big Panda is that it can have a learning cough during initial set up and tuning, specially in complex environment
What problems is the product solving and how is that benefiting you?
A big panda solve the problem of alert overload by using AI to correlate related incidents and identify root causes faster benefits by reducing manual efforts, issue resolution and improving overall system reli
Menka S.
Sleek modern UI and strong performance for managing incidents and alerts
Reviewed on Sep 02, 2026
Review provided by G2
What do you like best about the product?
They have a very nice and slick UI interface, modern and clean UI which really helps me to look through the incidents, alerts, and monitored data. The layout of info has impressed me because it is so easy to navigate to find the necessary details of incidents, alerts, etc. Their performance is quite good for us and even though we were getting a high number of alerts, BigPanda always was performing well without any lag.
What do you dislike about the product?
I think my main concern is the cost as you scale in terms of users and number of alerts. It can get pricey very quickly with all of your alerts, and systems being watched. The integration experience is good across the board, but some of the integrations require a lot of setup and tinkering to work the way you intended. Making these integrations easier to set up for basic functionality could enhance my experience.
What problems is the product solving and how is that benefiting you?
BigPanda has the features around AIOps for bringing related alerts together and noise reduction. That helps us correlate and look for underlying patterns or issues and our engineers get a more defined beginning in troubleshooting when incidents arise. This also saved a bit of time instead of having our engineers go through individual alerts. Support has also been responsive if we do run into any problems with BigPanda. More complex cases take a bit longer but are eventually sorted out. Overall it has given us a streamlined experience for monitoring and incident response.