Apache Spark vs. Google Cloud BigQuery Comparison


Apache Spark Apache Software Foundation	Google Cloud BigQuery Google	+	+
Learn More Update Features	Visit Website	Add To Compare	Add To Compare



Platforms Supported Windows Mac Linux SaaS / Web On-Premises iPhone iPad Android Chromebook		Platforms Supported Windows Mac Linux SaaS / Web On-Premises iPhone iPad Android Chromebook
Audience Organizations that want a unified analytics engine for large-scale data processing		Audience Organizations in need of a powerful, serverless, multicloud data warehouse that simplifies the process of working with all types of data
Support Phone Support 24/7 Live Support Online		Support Phone Support 24/7 Live Support Online
API Offers API		API Offers API
Screenshots and Videos View more images or videos		Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial		Pricing $0.04 per slot hour Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software		Reviews/Ratings Overall 4.7 / 5 ease 4.7 / 5 features 5.0 / 5 design 4.7 / 5 support 4.7 / 5 Read all reviews
Training Documentation Webinars Live Online In Person		Training Documentation Webinars Live Online In Person
Company Information Apache Software Foundation Founded: 1999 United States spark.apache.org		Company Information Google Founded: 1998 United States cloud.google.com/bigquery
Alternatives Amazon EMR Amazon		Alternatives Vertex AI Google
Apache Airflow The Apache Software Foundation		Google Cloud SQL Google
Apache Beam Apache Software Foundation		Amazon Athena Amazon
PySpark		Databricks Data Intelligence Platform Databricks
Databricks Data Intelligence Platform Databricks View All		Improvado View All
Categories Big Data Data Analysis Data Modeling Query Engines Streaming Analytics		Categories Big Data Columnar Databases Data Engineering Data Preparation Data Warehouse Database as a Service (DBaaS) ETL Machine Learning Marketing Analytics Platform as a Service (PaaS) Predictive Analytics Query Engines XML Databases
Show More Features Streaming Analytics Features Data Enrichment Data Wrangling / Data Prep Multiple Data Source Support Process Automation Real-time Analysis / Reporting Visualization Dashboards		Big Data Features Collaboration Data Blends Data Cleansing Data Mining Data Visualization Data Warehousing High Volume Processing No-Code Sandbox Predictive Analytics Templates Show More Features Data Warehouse Features Ad hoc Query Analytics Data Integration Data Migration Data Quality Control ETL - Extract / Transfer / Load In-Memory Processing Match & Merge ETL Features Data Analysis Data Filtering Data Quality Control Job Scheduling Match & Merge Metadata Management Non-Relational Transformations Version Control Machine Learning Features Deep Learning ML Algorithm Library Model Training Natural Language Processing (NLP) Predictive Modeling Statistical / Mathematical Tools Templates Visualization Marketing Analytics Features A/B Testing Campaign Management Channel Attribution Customer Journey Mapping Dashboard Performance Metrics Predictive Analytics ROI Tracking Social Media Metrics Website Analytics Predictive Analytics Features AI / Machine Learning Benchmarking Data Blending Data Mining Demand Forecasting For Education For Healthcare Modeling & Simulation Sentiment Analysis
Integrations Akira AI Alteryx Amundsen BigLake Coginiti DQOps Databricks Data Intelligence Platform IBM Databand Lyftrondata Mage Platform Metabase Molecula Onehouse Protegrity Saagie Sifflet Tabular Union Cloud Zepl cnvrg.io Show More Integrations View All 156 Integrations		Integrations Akira AI Alteryx Amundsen BigLake Coginiti DQOps Databricks Data Intelligence Platform IBM Databand Lyftrondata Mage Platform Metabase Molecula Onehouse Protegrity Saagie Sifflet Tabular Union Cloud Zepl cnvrg.io Show More Integrations View All 394 Integrations
Claim Apache Spark and update features and information Claim Apache Spark and update features and information