What is common between ShareChat, RevSure, and Akad Seguros?
They all use DataPelago to run Spark jobs 3-10x faster and 50% to 80% cheaper with no code changes.
Review benchmarks: DataPelago Nucleus beats Nvidia cudf.
- Under the hood: How DataPelago plugs into Spark.
- Friction-free Deployment: See how easy it is to deploy Datapelago.
- Insurance marketing
Pay nothing for 6 months!
Leading enterprises trust DataPelago to transform their Spark performance and economics
Finally completed OLAP cube jobs on OSS Spark, and cut costs
"With DataPelago Accelerator for Spark, we were finally able to complete our heaviest OLAP cube jobs on OSS Spark—something that had been impossible due to data skew and performance bottlenecks. This opens the door for a full migration from managed platforms without compromising speed or reliability."
Deployed into production in less than a week with zero changes
"DataPelago Accelerator enabled us to scale our analytics and AI workloads without any re-engineering. We saw proof of value within days-meaningful performance gains and costs savings with zero application changes required. It’s truly production-ready from day one, and their customer support made the entire experience seamless."
Unified data processing pipelines for AI and analytics
"At Akad Seguros, innovation is woven into our DNA, fueling our unwavering commitment to exceptional customer service. Leveraging DataPelago's advanced platform, we can seamlessly process structured, semi-structured, and unstructured data, reducing our costs by more than 50%."
