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
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.
Arockiaraj S.
Transparent Incident Clustering That Makes Sense
Reviewed on Sep 02, 2026
Review provided by G2
What do you like best about the product?
Big Panda's Open Box Machine Learning architecture uses transparent logic to cluster alerts into an incident unlike other tools that just group alerts or predict a root cause without explaining why. BigPanda has completely transformed how our team handles operational alert noise. By consolidating millions of fragmented alerts into actionable incidents, it has drastically reduced our alert fatigue and cut down our MTTR. While it does require a serious investment in upfront data tuning and comes with a premium enterprise price tag, the return on investment is undeniable. It bridges the gap between our monitoring tools and ServiceNow beautifully, saving our analyst hours of manual troubleshooting during outages.
What do you dislike about the product?
We do have few legacy log sources that send inconsistent data and so BigPanda cannot correlate it properly as it relies on tagging, normalization, and regular expressions to group alerts. This is causing us to continually tune rules.
What problems is the product solving and how is that benefiting you?
Big Panda has the ability to consolidate millions of noisy, false positive alerts into a handful of distinct incidents which helps in almost 90% Noise Reduction, eliminates alert fatigue, and stops analysts from chasing false positives. We can also leverage our workforce talent to focus on high-value tasks by eliminating repetitive L1 routing.
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.