G2 Vendor Directory

Google Cloud Managed Service for Apache Spark vs. Gathr.ai

A side-by-side comparison based on G2 review data.

MetricGoogle Cloud Managed Service for Apache Spark

by Google

Gathr.ai

by Gathr.ai

Overall rating4.34.8
Review count1834
Ease of use9.09.8
Ease of setup7.19.7
Quality of support9.09.8
Meets requirements8.89.6
NPS68.7596.969697
Small Business27.8%0.0%
Mid-Market38.9%79.4%
Enterprise33.3%20.6%
Total page views12659
Total LLM citations54464

Google Cloud Managed Service for Apache Spark

Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way. Operations that used to take hours or days take seconds or minutes instead, and you pay only for the resources you use (with per-second billing). Cloud Dataproc also easily integrates with other Google Cloud Platform (GCP) services, giving you a powerful and complete platform for data processing, analytics and machine learning.

Pros

    Gathr.ai

    Gathr.ai powers AI with complete data context for higher quality intelligence. With day-zero, high-fidelity data discourse, users can get data-backed answers to the ‘why’, ‘what-if’, and ‘how do I’ questions that drive business KPIs forward. This intelligence is delivered natively on top of the organization’s existing data estate — including data warehouses, databases, federated SQL engines, and operational systems. Leading businesses across industries also rely on Gathr.ai to build high-performance data pipelines, bespoke Data+AI solutions, and action-driven analytics experiences.

    Pros

    • Integrations
    • Data Management
    • Scalability
    • Easy Integrations
    • Drag
    • Features