Fast Job Launches
Run Spark or map-reduce jobs in seconds with intelligent provisioning that gets out of your way.
Map Reduce
Forge
Run Spark and Map Reduce workloads with zero setup, intelligent scaling, and usage-based pricing.
Features
Heavy Lifting, Handled.
Viduli Forge powers large-scale data processing with speed, scale, and zero infrastructure hassle.
On-Demand Cluster Scaling
Automatically scales compute clusters based on job complexity and size—no manual tuning required.
Optimized for Map-Reduce
Purpose-built for high-throughput batch and streaming workloads, with native support for Spark and Hadoop ecosystems.
Intelligent Resource Allocation
Forge allocates CPU and memory dynamically per job, ensuring high efficiency and cost-effectiveness.
Global Data Locality
Run jobs close to your data sources with region-aware execution to minimize latency and data movement.
Usage-Based Billing
Only pay for the compute and memory your jobs actually use—even on your provisioned clusters.
Built-In Fault Tolerance
Jobs auto-recover from failures with checkpointing and retries—no manual intervention needed.
Unified Observability
Track job progress, logs, and resource usage in real time through an intuitive dashboard.
Secure By Default
Data is encrypted in transit and at rest, with role-based access and network isolation built in.
Process More. Manage Less.
Viduli Forge brings scalable data processing to your fingertips—no cluster maintenance, no wasted compute.