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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Batch facilitates the execution of applications across workstations and clusters, making it simple to enable your executable files and scripts for cloud scalability. It operates a queue system designed to handle tasks you wish to run, effectively executing your applications as needed. To leverage Batch effectively, consider the data that must be uploaded to the cloud for processing, how that data should be allocated across various tasks, the necessary parameters for each job, and the commands required to initiate the processes. Visualize this as an assembly line where different applications interact seamlessly. With Batch, you can efficiently share data across different stages and oversee the entire execution process. It operates on a demand-driven basis rather than adhering to a fixed schedule, allowing customers to run their cloud jobs whenever necessary. Additionally, it's vital to manage user access to Batch and regulate resource utilization while ensuring compliance with requirements like data encryption. Comprehensive monitoring features are in place to provide insight into the system's status and to help quickly identify any issues that may arise, ensuring smooth operation and optimal performance. Furthermore, the flexibility in resource scaling allows for efficient handling of varying workloads, making Batch an essential tool for cloud-enabled applications.

Description

Managed Service for Apache Spark is a unified Google Cloud platform designed to run Apache Spark workloads with greater ease, performance, and scalability. It offers both serverless and fully managed cluster deployment options, allowing users to choose the best model for their needs. The platform eliminates the need for infrastructure management, enabling teams to focus on data processing and analytics. With Lightning Engine, it delivers up to 4.9x faster performance than open-source Spark, improving efficiency for large-scale workloads. It integrates AI-powered tools like Gemini to assist with code generation, debugging, and workflow optimization. The service supports open data formats such as Apache Iceberg and connects seamlessly with Google Cloud services like BigQuery and Knowledge Catalog. It is designed for a wide range of use cases, including ETL pipelines, machine learning, and lakehouse architectures. Built-in security features and IAM integration ensure strong data governance. Flexible pricing models allow users to pay based on job execution or cluster uptime. Overall, it helps organizations modernize their data infrastructure and accelerate analytics workflows.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Ascend No 
Asignet Yes 
Gemini Enterprise Agent Platform No 
Google Cloud BigQuery No 
Google Cloud Bigtable No 
Google Cloud Confidential VMs No 
Google Cloud Knowledge Catalog No 
Google Cloud Platform No 
Google Cloud Profiler No 
IBM watsonx.data integration No 
Kubernetes No 
Microsoft Azure Yes 
Openbridge No 
Orchestra No 
Pantomath No 
Pepperdata No 
Privacera No 
Syntasa No 
Ternary No 
Tokern No 

Integrations

Ascend Yes 
Asignet No 
Gemini Enterprise Agent Platform Yes 
Google Cloud BigQuery Yes 
Google Cloud Bigtable Yes 
Google Cloud Confidential VMs Yes 
Google Cloud Knowledge Catalog Yes 
Google Cloud Platform Yes 
Google Cloud Profiler Yes 
IBM watsonx.data integration Yes 
Kubernetes Yes 
Microsoft Azure No 
Openbridge Yes 
Orchestra Yes 
Pantomath Yes 
Pepperdata Yes 
Privacera Yes 
Syntasa Yes 
Ternary Yes 
Tokern Yes 

Pricing Details

$3.1390 per month
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/batch

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/products/managed-service-for-apache-spark

Product Features

Big Data

Collaboration Yes 
Data Blends Yes 
Data Cleansing No 
Data Mining Yes 
Data Visualization Yes 
Data Warehousing Yes 
High Volume Processing Yes 
No-Code Sandbox No 
Predictive Analytics Yes 
Templates No 

Data Analysis

Data Discovery Yes 
Data Visualization Yes 
High Volume Processing Yes 
Predictive Analytics Yes 
Regression Analysis Yes 
Sentiment Analysis Yes 
Statistical Modeling Yes 
Text Analytics No 

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