Pepperdata
Pepperdata's software runs on existing Hadoop clusters to give operators unprecedented predictability, capacity, and visibility for their Hadoop jobs..
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor | €0.0 | round |
| N/A | €0.0 | round | |
| investor investor investor investor investor | €0.0 | round | |
| investor investor investor investor investor investor | €0.0 | round | |
$7.1m Valuation: $75.0m | Late VC | ||
| Total Funding | 000k | ||
| USD | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 55 % | 4 % | 51 % | - | (30 %) |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Pepperdata operates in the cloud computing optimization market, specializing in real-time, autonomous performance tuning for big data environments. The company primarily serves enterprises that utilize Amazon EMR and Amazon EKS for their data processing needs. By leveraging advanced algorithms and machine learning, Pepperdata continuously optimizes resource utilization, reducing cloud costs and improving performance. The business model is based on a subscription service, where clients pay for ongoing access to Pepperdata's optimization tools and support. Revenue is generated through these subscriptions, as well as through professional services for implementation and customization.
Pepperdata's solutions are particularly valuable for organizations with large-scale data processing requirements, such as those in finance, healthcare, and technology sectors. The company's technology was developed by experts from Yahoo, Google, and Netflix, ensuring a robust and proven approach to cloud cost management.
Key features include continuous intelligent tuning, real-time monitoring, and autonomous adjustments, which collectively help clients achieve significant cost savings and operational efficiencies.
Keywords: cloud optimization, big data, Amazon EMR, Amazon EKS, cost reduction, real-time tuning, autonomous performance, machine learning, enterprise solutions, resource utilization.