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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
Algolia
Hosted search and discovery with ultra fast indexing, typo tolerance, vector and keyword hybrid search, analytics and Rules for merchandising across web and apps.
Pricing Free / Usage based
Category data
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in Weka
storagegpuhpcparallel-filecloudperformance
Shared
dataanalyticsanalysis
Only in Algolia
searchvectorhybridmerchandisingapi
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
Algolia
- • Keyword and vector hybrid search with filters and facets
- • Typo tolerance synonyms and multilingual analysis
- • Rules based merchandising to boost bury and pin results
- • Recommend and AI add ons for re ranking and content discovery
- • Real time analytics for CTR AOV zero results and trends
- • Secure API keys with scopes and rate limiting
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
Algolia
- → Power e commerce search with dynamic facets and re ranking
- → Enable doc search in SaaS with per user keys and scopes
- → Add autocomplete and query suggestions to landing pages
- → Run A B tests on relevance and measure CTR and conversions
- → Detect zero result patterns and create content or synonyms
- → Expose recommendations and related items to raise AOV
Perfect For
Weka
infra architects, platform engineers, and research leads who need to maximize GPU utilization and simplify AI data operations with enterprise controls
Algolia
product engineers search specialists and merchandisers who need fast reliable search ranking control and analytics without running infra
Capabilities
Weka
Parallel IO Professional
Object Integration Intermediate
K8s & Schedulers Intermediate
Governance & Audit Professional
Algolia
APIs and SDKs Intermediate
Rules and Synonyms Intermediate
AI and Recommend Professional
Analytics and A B Basic
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