Take the Yeedu 30 Day Cost Savings Challenge
Your data workloads running in cloud might be draining your budgets. Yeedu is our answer to this! Take the 30 day Yeedu challenge to uncover cost savings for your spark workloads.
No code changes. Fixed monthly price. Guaranteed results.
Your guided path to evaluate real workloads, uncover savings, and design your optimization roadmap.
We run your actual Spark jobs and execute them securely within your own cloud environment using Yeedu’s Turbo Engine. No synthetic workloads. No simulations. No sandbox data only real operationalscenarios.
We analyze runtime efficiency, cluster utilization, and compute waste to quantify the impact. Thisincludes identifying cost inefficiencies, performance bottlenecks, and opportunities for optimizationoften uncovering 60-80% savings.
In a dedicated 1:1 session, our engineers walk you through the findings, demonstrate how Yeedu delivers true Spark cost optimization, and help to plan next steps for scaling and operationalizing improvements.
Yeedu drives faster Spark execution, optimized cloud costs, and sustained performance improvements across enterprise workloads.
Yeedu is a re-architected, high performance Spark engine that runs the same workloads at a fraction of the cost. Our Turbo Engine accelerates Spark with zero impact on your codebase. For dramatic performance improvements and cost savings.
Uses vectorized query processing with SIMD instructions to accelerate CPU-bound tasks 4-10X faster than standard Spark.
Packs more jobs within existing CPU cycles, maximizing resource utilization where regular Spark leaves CPUs underutilized.
Your existing Spark code executes faster with no refactoring,for immediate ROI with no development effort.
Seamless connectivity with your existing data infrastructure and enterprise systems.
☑️ Your Spark Jobs. Your Cloud.
Run actual workloads where they live no artificial benchmarks, no lift-and-shift. ☑️ No Code Changes. No Migration Hassle.
Start seeing performance gains immediately with your existing Spark code and pipelines. ☑️ 30-Day Fee-Free Pilot
Evaluate Yeedu’s impact before you commit zero cost, full transparency.
Submit your inquiry and our engineering team will get back to you!
Yes, the challenge is specifically built for organizations with large-scale Spark usage who want to audit and reduce their cloud compute costs.
No, there are no minimum thresholds. Yeedu delivers noticeable cost savings when a mix of low, medium, and heavy workloads are run on the platform.
We need three things to get started. Cloud infrastructure to install Yeedu. The right access permissions such as opening required firewall paths and read access to data sources. A set of representative Spark jobs so we can evaluate performance and cost savings accurately.
No. Yeedu runs your existing Spark jobs as-is in your own cloud environment.
AWS, Azure, and GCP. Yeedu supports x86, ARM, and GPU runtimes for multi-cloud optimization.
The workloads run in your own cloud, you retain data control. Yeedu complies with ISO27001, HIPAA, SOC2, GDPR.
The no-cost pilot program offers minimal risk. If the realized savings do not meet your expectations, you are free to simply discontinue the program or discuss a more suitable plan with our team.
Once you sign up, Yeedu’s engineering team will schedule a 1:1 review and kick off the pilot right away.
