ParaQuery

ParaQuery is a fully-managed, GPU-accelerated Spark and SQL solution designed to offer BigQuery-level ease of use while being significantly more cost-efficient and faster. It leverages GPU hardware specialized for massively parallel, high-throughput data processing, optimizing ETL and large-scale analytics workloads. Compatible with Spark SQL and Spark, ParaQuery requires no data migration and delivers substantial performance improvements and cost savings for enterprises with large datasets and complex queries. It is currently offered as a managed service with plans for enterprise deployment on GCP Marketplace, targeting teams seeking scalable, efficient big data processing without managing complex infrastructure.

platform:web platform:cloud pricing:custom form:saas feature:gpu-acceleration feature:distributed-compute feature:spark-integration feature:spark-sql-compatible feature:cost-efficient feature:performance-optimization feature:external-shuffle-service target:developers target:enterprises target:teams use-case:big-data-processing use-case:etl use-case:analytics

Features

Gpu Acceleration

Distributed Compute

Spark Integration

Spark SQL Compatible

Cost Efficient

Performance Optimization

External Shuffle Service

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Basic Info

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Availability & Pricing

Pricing Model
Custom Pricing
Details
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AI Curation

Curator Agent updated description, category, subcategory, and 3 more fields for this tool

9 months ago