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Google Cloud Dataproc description
Google Cloud Dataproc is a cloud-based service that makes it easier and cheaper for your company to analyze large amounts of data. It uses popular open-source tools like Apache Spark and Hadoop, but Google Cloud handles all the setup and management. This means your team can focus on getting insights from your data without worrying about the technical details. Dataproc is also integrated with other Google Cloud services for a complete data processing platform.
Who is Google Cloud Dataproc best for
Google Cloud Dataproc is a fully managed and scalable cloud-based service for processing and analyzing big data. Users praise its ease of use, cost-effectiveness with per-second billing, and seamless integration with other Google Cloud Platform (GCP) services. Some users have noted slow cluster creation times and occasional autoscaling delays. Dataproc is ideal for companies working with terabytes of data using open-source tools like Apache Spark and Hadoop.
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Ideal for medium to large enterprises (101+ employees) seeking scalable data solutions.
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Suitable for businesses across all industries needing robust data analysis capabilities.
Google Cloud Dataproc features
Supported Automated logging, monitoring, and serverless deployment lets user focus on data and analytics. |
Supported Users can utilize Dataproc with GKE, enabling job portability and isolation. |
Supported Features like default at-rest encryption, OS Login, VPC Service Controls, and customer-managed encryption keys (CMEK) are provided. |
Supported Supports popular open-source tools like Apache Hadoop, Spark, Flink, Presto, etc. at scale. |
Supported Integrated with Vertex AI, BigQuery, and Dataplex |
Supported Offers lower TCO compared to on-premise data lakes, with per-second pricing. |
Supported Supports serverless deployments, managed clusters on Google Compute and Kubernetes. |
Google Cloud Dataproc pricing
The commentary is based on 2 reviews from Google Cloud Dataproc G2 reviews.
Dataproc offers cost-effective big data processing with features like idle cluster deletion and autoscaling. While some users mention occasional autoscaling delays, the overall pricing sentiment is positive, especially due to the managed infrastructure reducing operational overhead.
See the Google Cloud Dataproc pricing page.
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Google Cloud Dataproc has a free trial.
Charges are calculated based on a rate of $0.01 per vCPU per hour.
Pricing mirrors that of Dataproc on Compute Engine, charged at $0.01 per vCPU per hour for virtual machines in Dataproc-created node pools.
Google Cloud Dataproc alternatives
Google Cloud DatalabInteractive data exploration, analysis, and visualization in the cloud.Read more
Google Cloud Dataproc FAQ
Google Cloud Dataproc is a fully managed and scalable cloud-based service for processing and analyzing big data. It simplifies the use of open-source tools like Apache Spark and Hadoop, enabling users to focus on insights. It offers cost-effective, serverless options and integrates with other Google Cloud services.
What is Google Cloud Dataproc and what does Google Cloud Dataproc do?
Google Cloud Dataproc is a fully managed and scalable cloud-based service for processing and analyzing big data. It simplifies the use of open-source tools like Apache Spark and Hadoop, enabling users to focus on insights. It offers cost-effective, serverless options and integrates with other Google Cloud services.
Google Cloud Dataproc integrates seamlessly with other Google Cloud services like Vertex AI, BigQuery, and Dataplex, providing a unified data platform. This integration simplifies data pipelines and enables advanced analytics workflows. It also supports open-source tools like Apache Spark and Hadoop.
How does Google Cloud Dataproc integrate with other tools?
Google Cloud Dataproc integrates seamlessly with other Google Cloud services like Vertex AI, BigQuery, and Dataplex, providing a unified data platform. This integration simplifies data pipelines and enables advanced analytics workflows. It also supports open-source tools like Apache Spark and Hadoop.
Top competitors to Google Cloud Dataproc include Amazon EMR, Cloudera Data Platform, and Azure Data Lake Store. These alternatives offer similar big data processing capabilities in the cloud, with varying features and pricing models. For interactive data analysis and visualization, consider Google Cloud Datalab.
What the main competitors of Google Cloud Dataproc?
Top competitors to Google Cloud Dataproc include Amazon EMR, Cloudera Data Platform, and Azure Data Lake Store. These alternatives offer similar big data processing capabilities in the cloud, with varying features and pricing models. For interactive data analysis and visualization, consider Google Cloud Datalab.
Yes, Google Cloud Dataproc is a legitimate service from Google Cloud. It's a safe and reliable platform for big data processing using open-source tools like Apache Spark and Hadoop. Google Cloud handles the infrastructure, so you can focus on data analysis.
Is Google Cloud Dataproc legit?
Yes, Google Cloud Dataproc is a legitimate service from Google Cloud. It's a safe and reliable platform for big data processing using open-source tools like Apache Spark and Hadoop. Google Cloud handles the infrastructure, so you can focus on data analysis.
Google Cloud Dataproc's pricing is $0.01 per vCPU per hour for both Compute Engine and Google Kubernetes Engine deployments. This product offers a free trial but no free plan. Additional costs may apply for related Google Cloud services.
How much does Google Cloud Dataproc cost?
Google Cloud Dataproc's pricing is $0.01 per vCPU per hour for both Compute Engine and Google Kubernetes Engine deployments. This product offers a free trial but no free plan. Additional costs may apply for related Google Cloud services.
Customer reviews on Google Cloud Dataproc's support are mixed. While some users praise the helpfulness of the GCP support team, others point out that documentation could be improved and the user interface for IAM is not ideal.
Is Google Cloud Dataproc customer service good?
Customer reviews on Google Cloud Dataproc's support are mixed. While some users praise the helpfulness of the GCP support team, others point out that documentation could be improved and the user interface for IAM is not ideal.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.
An AI tool that observes your work, finds inefficiencies, and suggests smarter ways to do things. Maybe you can use your tools better, automate tasks, or switch software.