--- title: Google Cloud Managed Service for Apache Spark Reviews meta_title: 'Google Cloud Managed Service for Apache Spark Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 18 reviews by the users' company size, role or industry to find out how Google Cloud Managed Service for Apache Spark works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 18 scale: '5' date_modified: '2026-08-12' parent_category: name: Big Data url: https://www.g2.com/categories/big-data --- # Google Cloud Managed Service for Apache Spark Reviews **Vendor:** Google **Category:** [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution) **Average Rating:** 4.4/5.0 **Total Reviews:** 18 ## About 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. ## Google Cloud Managed Service for Apache Spark Reviews ### 1. Google Cloud DataProc **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Alternative Medicine | Small-Business (50 or fewer emp.) **Reviewed Date:** March 22, 2019 **What do you like best about 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. Processing speeds are quick and efficient vs past technology. Cloud Dataproc also easily integrates with other Google Cloud Platforms **What do you dislike about Google Cloud Managed Service for Apache Spark?** So far the company has not run into any issues using the software. **What problems is Google Cloud Managed Service for Apache Spark solving and how is that benefiting you?** This has helped with efficiency of sales and predictability for future endeavors ### 2. support for other operating system **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** April 10, 2019 **What do you like best about Google Cloud Managed Service for Apache Spark?** additional features over hadoop are required, more than kerberos and additional security and platform os support **What do you dislike about Google Cloud Managed Service for Apache Spark?** need to support redhat or other linux os **What problems is Google Cloud Managed Service for Apache Spark solving and how is that benefiting you?** working on building analytics platfor for telcom utilizing additional products - [View Google Cloud Managed Service for Apache Spark pricing details and edition comparison](https://www.g2.com/products/google-cloud-managed-service-for-apache-spark/reviews?filters%5Bnps_score%5D%5B%5D=3§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+22%3A52%3A31+-0500&secure%5Bsession_id%5D=7b454a81-dfe9-4146-867b-2c45456d448c&secure%5Btoken%5D=2ec5cb122d98e28af7f6431c18a71bf84a2f91ad19cb2209ed5aa3013d46a3d4&format=llm_user) ## Google Cloud Managed Service for Apache Spark Features **Management** - Reporting - Auditing **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Functionality** - Extraction - Transformation - Loading - Automation - Scalability - Non-Relational Transformations - Data Extraction **Additional Functionality** - Data Mapping - Monitoring - Charting - Integration Management - Reporting/Analytics - Ad hoc Analysis - Access Controls/Permissions - API - Match & Merge - Real-Time Monitoring - Metadata Management - Pipeline Management - Job Scheduling - Dashboard Creation - Data Storage Management - Multiple Data Sources - Data Import/Export - Generative AI - Data Quality Control - Data Connectors - Customizable Reports - Single Sign On - Version Control - Visual Analytics - Accounting Integration - Real-Time Data - eCommerce Management - AI Copilot - CRM - Data Visualization - SSL Security - Search/Filter - Real-Time Analytics - Data Capture and Transfer - Collaboration Tools - Performance Management - Data Synchronization - Drag & Drop - Data Replication - Activity Dashboard - Database Support - Workflow Management - Alerts/Notifications - Predictive Analytics - Data Migration - Third-Party Integrations - Reporting & Statistics - Data Analysis Tools **Integrations** - Hadoop Integration - Spark Integration **Platform** - Machine Scaling - Data Preparation - Spark Integration **Processing** - Cloud Processing - Workload Processing **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications - Mobile Access - Metadata Management ## Top Google Cloud Managed Service for Apache Spark Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,335 reviews) - [Cloudera](https://www.g2.com/products/cloudera/reviews) - 4.1/5.0 (131 reviews) - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) - 4.6/5.0 (96 reviews)