Yeedu Data Platform
Run any size data pipeline with zero refactoring. Unlock maximum speed and cloud cost efficiency.
Built for performance, scalability, and efficiency.
Reimagine Apache Spark Infrastructure
Enable spark job execution, better developer experience, and cloud cost optimization all with zero vendor lock-in.
Faster Workload Execution
- Accelerate workloads by up to 10x with SIMD optimization and zero code refactoring.
- Optimized memory management for lower CPU and I/O overhead.
- SIMD execution engines deliver ultra-fast vector processing for complex analytics and machine learning.
Exceptional Developer Experience
- Unified UI and CLI for seamless job submissions across any environment.
- Automated monitoring and debugging with integrated AI assistance to spot bottlenecks early.
- No vendor lock-in with native support for open table formats and open-source standards.
Predictable, Cost-Effective Scale
- Eliminate cost spikes with right-sized compute and intelligent auto-scaling.
- Reduce cloud infrastructure spend by up to 80% without sacrificing performance.
- Predictable licensing model with flat-rate or usage-based pricing to fit your budget.
Engineered For Scale. Designed For Performance.
A modern, three-tier architecture engineered for scalable, fault-tolerant, and secure data operations from compute to control, all in your cloud environment.
A Complete Environment For Modern Data Workloads
Run analytics, data engineering, and ML pipelines faster, cheaper, and with full visibility.
Performance Optimization
- Turbo Engine accelerates Spark execution with zero code changes, enabling true spark cost optimization.
- Deliver unmatched performance and minimal costs per job with dynamic scaling and runtime optimizations.
Developer Experience
- A unified workspace for notebooks, jobs, and pipelines.
- Simplify development, debugging and spark job optimization with AI-powered notebooks and observability assistants.
Multi-Cloud Flexibility
- Simplify development, debugging and spark job optimization with AI-powered notebooks and observability assistants.
- Support for ARM, x86, and GPU runtimes provides total deployment freedom ideal for multi-cloud optimization strategies.
Security and Governance
- Multi-tenant support with fine-grained enterprise-ready access management.
- Built for security-first data teams fully compliant with ISO 27001, HIPAA, GDPR, and SOC2 standards.
Catalog Integration
- Native interoperability with existing metastore and data catalogs systems.
- Optimize spark pipelines with consistent schema discovery and governance across environments.
Integrated Usage Dashboard
- Unified visibility into compute usage, job metrics, and cost drivers.
- Track and optimize Spark costs across projects and users with custom tags and reports.
Seamlessly Connectivity With Your Enterprise Stack
Native integrations for orchestration, monitoring, cataloging, and storage.
Orchestration
Airflow, Prefect
Catalogs
Hive metatore, Unity Catalog, Glue Catalog
Monitoring and Observability
Grafana, CloudWatch, Splunk
Open Table Formats
Delta, Iceberg
AI Services
Anthropic, Windsurf, OpenAI
Storage & Cloud Platforms
Databricks, Cloudera, Amazon EMR
The Yeedu Advantage
Learn how Yeedu's re-architected platform approach delivers superior value over traditional Spark platforms.
| Architectural Capability | Traditional Spark / Vendor Platforms | Yeedu Data Platform |
|---|---|---|
| Execution Speed | Standard speed / Frequent bottlenecks | 4x-10x Faster with Turbo Engine |
| Performance | High compute resource requirements | SIMD vectorized processing |
| Infrastructure | Heavy resource overhead | Optimized resource utilization |
| Operations | Complex manual configuration & tuning | Automated tuning & AI-assisted operations |
| Lock-in & Governance | Proprietary formats & vendor lock-in | Open standards (Iceberg, Delta Lake) |
| Architectural Operations | Rigid scaling, slow cluster startup | Instant elasticity & intelligent auto-scaling |
| Resource Optimization | Poor memory management & CPU waste | Smart scheduling & job multiplexing |
Fixed Price. Unlimited Innovation.
Predictable, transparent pricing with no hidden fees or per-job markups.
Predictable Enterprise Pricing
Pay for what you use with clear tier boundaries.
What is included:
- Unlimited job submissions
- Full multi-cloud capability
- 24/7 Enterprise support & SLA
- Zero hidden per-DBU charges
- Free migration utility included
Transform Your Spark Infrastructure. Permanently.
Get started today with a free proof of concept or custom benchmark on your own workloads.