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Weka
WEKA is a high-performance data platform for AI and HPC that unifies NVMe flash, cloud object storage, and parallel file access to feed GPUs at scale with enterprise controls.
Pricing By quote
Category data
Difficulty Beginner
Type Web App
Status Active
BigML
End to end machine learning platform with GUI and REST API that covers data prep modeling evaluation deployment and governance for cloud or on premises use.
Pricing Free trial, contact sales
Category data
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in Weka
storagegpuhpcparallel-fileperformance
Shared
clouddataanalyticsanalysis
Only in BigML
machine-learningautomlapideploymentsgovernance
Key Features
Weka
- • Parallel file system on NVMe for low-latency IO
- • Hybrid tiering to object storage with policy control
- • Kubernetes integration and scheduler friendliness
- • High throughput to keep GPUs saturated
- • Quotas snapshots and multi-tenant controls
- • Encryption audit logs and SSO options
BigML
- • GUI and REST API for the full ML lifecycle with reproducible resources
- • AutoML and ensembles
- • Time series anomaly detection clustering and topic modeling
- • WhizzML to script and share pipelines
- • Versioned immutable resources
- • Organizations with roles projects and dashboards
Use Cases
Weka
- → Feed multi-node training jobs with consistent throughput
- → Consolidate research and production data under one namespace
- → Tier datasets to object storage while keeping hot shards local
- → Support MLOps pipelines that read and write at scale
- → Accelerate EDA and simulation with parallel IO
- → Serve inference features with predictable latency
BigML
- → Stand up a governed ML workflow
- → Automate repeatable training and evaluation with WhizzML
- → Detect anomalies for risk monitoring
- → Forecast demand with time series
- → Cluster customers and products
- → Embed predictions through the REST API
Perfect For
Weka
infra architects, platform engineers, and research leads who need to maximize GPU utilization and simplify AI data operations with enterprise controls
BigML
Data scientists, analytics engineers, and ML platform teams who want a standardized GUI plus API approach to build govern and deploy models
Capabilities
Weka
Parallel IO Professional
Object Integration Intermediate
K8s & Schedulers Intermediate
Governance & Audit Professional
BigML
AutoML and Models Professional
Pipelines with WhizzML Professional
Cloud or Private Enterprise
Versioning and Roles Professional
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