Pepperdata
Pepperdata provides real-time, automated resource optimization for Kubernetes and data-intensive workloads (Spark, EMR, EKS) using patented algorithms, with a performance-based pricing model and a 100% ROI guarantee. It serves Fortune 500 enterprises across financial services, technology, advertising, and automotive, operating across AWS, Azure, GCP, and on-premises environments.
- Company typePrivate
- Founded2012
- HeadquartersSunnyvale, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Pepperdata does
Pepperdata, founded in 2012 and headquartered in San Jose, California, provides real-time, automated resource optimization software for Kubernetes and data-intensive workloads running on AWS EMR, AWS EKS, Azure, Google Cloud Platform, and on-premises environments. The company's core product, Capacity Optimizer, uses patented algorithms (four granted US patents with additional applications pending) to feed schedulers — including Kubernetes, YARN, Karpenter, and YuniKorn — with actual hardware utilization data, enabling dynamic, application-level optimization of GPU, CPU, and memory allocation without manual tuning or code changes. Pepperdata reports 18+ billion vCPUs and 787+ million pods optimized per year across 20,000+ cloud clusters, with customers typically realizing 30-47% cost savings on data-intensive workloads and up to 75% on Kubernetes workloads. Named customers include Fortune 100/500 enterprises across financial services (Citi, RBC, a top online bank, a global investment bank), design and technology software (Autodesk, Magnite, IQVIA), consumer internet and digital advertising, and automotive (Lucid Motors).
The company generates revenue through subscription-based software licensing of Capacity Optimizer and via AWS Marketplace transactions, with a performance-based pricing model that ties customer payments to verified cost savings and includes a 100% ROI guarantee. Its go-to-market combines a product-led self-serve free trial (single-command bash installation, no sales call required) with enterprise field sales targeting CTOs, VP Engineering, and FinOps leaders at Fortune 500 accounts, supplemented by a Global Partner Program launched in November 2025 with AWS (Flagship) and Rackspace (Core). In November 2025, Pepperdata also launched a GPU Optimization solution for AI infrastructure claiming up to 30% savings on GPU-intensive Kubernetes workloads, extending the product line into the AI/ML infrastructure spend category. The company was recognized as an AWS Data & Analytics Partner of the Year Finalist in 2024.
Pepperdata firmographics
Firmographics- Name
- Pepperdata
- Legal name
- Pepperdata Inc.
- Website
- https://pepperdata.com
- Company type
- Private
- Founded year
- 2012
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Pepperdata provides real-time, automated resource optimization for Kubernetes and data-intensive workloads (Spark, EMR, EKS) using patented algorithms, with a performance-based pricing model and a 100% ROI guarantee. It serves Fortune 500 enterprises across financial services, technology, advertising, and automotive, operating across AWS, Azure, GCP, and on-premises environments.
- Ownership category
- akta.pro rank
Pepperdata industry classification
Industry- Product category
- Cloud Cost Optimization Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Cloud-Native/Kubernetes Observability (HDABAJAF)
- akta.pro secondary industries
- Data Warehouse/Lakehouse Performance Optimization & Cost Management (HDAEABAL), Container Platforms & Orchestration (Kubernetes) (HDABADAF)
Keywords
Where Pepperdata is headquartered
LocationHeadquarters
- HQ city
- Sunnyvale
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Pepperdata business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Capacity Optimizer Software License: Subscription-based software licensing for Capacity Optimizer deployed on cloud clusters (AWS EMR, EKS, Azure, GCP) or on-premises environments. Pricing based on cluster size or resource consumption with performance-based billing where customers only pay when they save.
- AWS Marketplace Transaction: Software available for purchase and deployment via AWS Marketplace, enabling customers to transact directly through their cloud provider and leverage existing AWS commitments.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Outcome Based/ Performance | Monthly | Performance-based pricing with guaranteed ROI |
| Freemium | Pay-as-you-go | Free Trial and Proof of Value |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels7 records
Pepperdata product offering
Product offeringCore offering
Pepperdata provides real-time, automated resource optimization for Kubernetes, Apache Spark, and big data workloads running on AWS (EMR, EKS), Azure, GCP, and on-premises environments. Its flagship Capacity Optimizer product uses patented algorithms to dynamically adjust GPU, CPU, and memory allocation, reducing cloud compute costs by up to 75% without manual tuning, recommendations, or application code changes. The solution targets enterprises with large-scale Kubernetes and data-intensive workloads, with a 100% ROI guarantee and a performance-based pricing model.
Product overview
Pepperdata offers a unified product portfolio centered on Capacity Optimizer for dynamic Kubernetes and data workload resource optimization. The core product, Capacity Optimizer, works in conjunction with the proprietary 'Secret Sauce' technology to deliver automated, real-time resource optimization without manual tuning or application code changes. The solution targets enterprises running Kubernetes workloads, Apache Spark, and other data-intensive applications on cloud platforms including AWS EMR, AWS EKS, Azure, and Google Cloud Platform, enabling up to 75% cost savings through dynamic resource allocation optimization.
Differentiator
Problem solved
Functional benefit
Brands
- Capacity Optimizer: Dynamic Kubernetes Resource Optimization product that delivers up to 75% cost savings by automatically optimizing GPU, CPU, and memory utilization in real time without manual tuning or application code changes.
Products and services
- Capacity Optimizer Real-time, automated resource optimization software for Kubernetes, Apache Spark, and big data workloads running on AWS EMR, AWS EKS, Azure, GCP, and on-premises clusters. Uses patented algorithms to dynamically adjust GPU, CPU, and memory allocation, reducing cloud compute costs by up to 75% without manual tuning, recommendations, or application code changes. Designed for enterprise platform engineering, FinOps, and DevOps teams running large-scale containerized and data workloads.
- Secret Sauce Proprietary technology platform underlying Capacity Optimizer that delivers the patented algorithms, real-time scheduler integration, and continuous intelligent tuning capabilities enabling automated resource optimization. Listed as a distinct product with its own product page on the Pepperdata website.
Quantifiable outcome
- Average 30-47% cost savings on data-intensive workloads on Amazon EMR and EKS
- +9 more outcomes
Companies that use Pepperdata
Customer profileNamed customers9 records
Segments5 records
Ideal customer profiles3 records
Pepperdata technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability2 records
Feature7 records
Pepperdata partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered flagship and core.
- Amazon Web Services (AWS)flagshipAWS is a key channel partner through the Global Partner Program. AWS account managers recommend Pepperdata to customers seeking EMR and EKS cost optimization. Pepperdata is available on AWS Marketplace and was a finalist for AWS Data & Analytics Partner of the Year.
- Rackspace TechnologycoreRackspace is a Global Partner introducing Pepperdata to customers as a trusted cloud cost remediation solution. Extole was introduced to Pepperdata through Rackspace for Amazon EMR optimization.
Scale indicators15 records
Recent moves6 records
Expansion highlights5 records
Pepperdata competitors and assessment
Company assessmentDirect peers
- Cast.ai: Cast.ai provides automated Kubernetes cost optimization including rightsizing, bin-packing, and Spot instance orchestration. It is the most direct competitor to Pepperdata's Capacity Optimizer, addressing the same Kubernetes FinOps buyer with comparable automation and benchmarking claims.
- Harness Cloud Cost Management: Harness provides cloud cost management as part of its continuous delivery and DevOps platform, including Kubernetes cost optimization. It competes for the same FinOps + Kubernetes buyer with a broader platform play than Pepperdata's focused in-cluster optimization.
- Kubecost: Kubecost (now part of IBM/Apptio) provides Kubernetes cost monitoring, allocation, and optimization insights. It overlaps with Pepperdata in Kubernetes cost visibility but is more analytics-led than automated placement.
- ScaleOps: ScaleOps provides automated Kubernetes resource optimization using live usage metrics to rightsize pods without code changes. It targets the same automated-Kubernetes-finOps buyer as Pepperdata with a comparable patented scheduling approach.
- Densify: Densify delivers cloud resource optimization and rightsizing recommendations for containers, VMs, and big data workloads. It overlaps with Pepperdata's optimization thesis, though its approach is recommendation-based rather than automated real-time placement.
- Spot by NetApp: Spot (formerly Spotinst, now part of NetApp) optimizes cloud compute costs through Spot instance automation, autoscaling, and workload placement across Kubernetes and big data workloads. It competes with Pepperdata on EMR/EKS cost reduction with a stronger focus on Spot instance economics.
Emerging players
- Fairwinds: Fairwinds offers Kubernetes governance, security, and optimization including cost and resource efficiency services. It overlaps with Pepperdata on Kubernetes workload optimization with a more services-led model.
Others
- AWS Karpenter: Karpenter is the open-source/Kubernetes-native cluster autoscaler that Pepperdata explicitly integrates with and enhances. It is an enabling/complementary technology rather than a direct competitor; its evolution shapes the addressable surface Pepperdata can monetize.
Broad incumbents
- Apptio Cloudability: Apptio's Cloudability is an established FinOps platform for cloud cost management and allocation across AWS, Azure, and GCP. As a broader incumbent it competes with Pepperdata for the FinOps budget but does not focus on real-time in-cluster scheduler automation.
- IBM Turbonomic / Instana: IBM Turbonomic (now part of Instana/IBM Observability) provides application resource management and optimization across hybrid environments. It is a broad incumbent that addresses similar workload optimization problems at larger enterprises.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Pepperdata social profiles
Digital presencePepperdata financial estimates
Financial estimateRevenue estimate
Valuation estimate
Pepperdata leadership team
Management profileNumber of profiles
Profiles7 records
Pepperdata funding detail
Funding detailFunding overview
Funding rounds3 records
Investors12 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Pepperdata M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Pepperdata
What does Pepperdata do?
Pepperdata provides real-time, automated resource optimization for Kubernetes, Apache Spark, and big data workloads running on AWS (EMR, EKS), Azure, GCP, and on-premises environments. Its flagship Capacity Optimizer product uses patented algorithms to dynamically adjust GPU, CPU, and memory allocation, reducing cloud compute costs by up to 75% without manual tuning, recommendations, or application code changes. The solution targets enterprises with large-scale Kubernetes and data-intensive workloads, with a 100% ROI guarantee and a performance-based pricing model.
Is Pepperdata a public or private company?
Pepperdata is a private company. It is classified as venture growth investor backed and is currently operating.
When was Pepperdata founded?
Pepperdata was founded in 2012. It employs 11 to 50 people.
Where is Pepperdata based?
Pepperdata is headquartered in Sunnyvale, United States, in the North America region.
How does Pepperdata make money?
Two revenue lines are on record. Capacity Optimizer Software License is the primary driver. The others are AWS Marketplace Transaction.
Who are Pepperdata's main competitors?
Direct peers on record are Cast.ai, Harness Cloud Cost Management, Kubecost, ScaleOps, Densify and Spot by NetApp. Fairwinds is listed as an emerging player. AWS Karpenter is listed as an others. Broad incumbents are Apptio Cloudability and IBM Turbonomic / Instana.
Does Pepperdata have an API?
No public API is recorded for Pepperdata.
What industry is Pepperdata in?
Pepperdata's product category is Cloud Cost Optimization Software. Its primary akta.pro industry code is HDABAJAF, Cloud-Native/Kubernetes Observability, with a secondary code of HDAEABAL, Data Warehouse/Lakehouse Performance Optimization & Cost Management. Its NAICS code is 5182 and its SIC code is 7372.