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What is Google Cloud Migrate for Compute Engine?

Cloud migration involves a multitude of questions and challenges. Google Cloud's Migrate for Compute Engine effectively addresses these issues. Whether you plan to move a single application from on-premises servers or thousands of robust applications from multiple data centers, Migrate for Compute Engine equips IT teams of all sizes with the capability to transition their workloads to Google Cloud effortlessly. Its user-friendly “as a service” interface within the Cloud Console, coupled with flexible migration options, makes the entire process easier, allowing users to significantly diminish the time and resources typically required for migrations. Gone are the days of complex setups, convoluted configurations, and the hassle of client-side migration tools. By selecting the right migration strategy, your team can concentrate on what truly matters: the effective relocation of workloads to the cloud. In conclusion, this tool not only simplifies the migration journey but also boosts productivity and efficiency for IT professionals, paving the way for a smoother transition to cloud services.

What is DataOps DataFlow?

Apache Spark offers a comprehensive component-driven platform that streamlines the automation of Data Reconciliation testing for contemporary Data Lake and Cloud Data Migration initiatives. DataOps DataFlow serves as an innovative web-based tool designed to facilitate the automation of testing for ETL projects, Data Warehouses, and Data Migrations. You can utilize DataFlow to efficiently load data from diverse sources, perform comparisons, and transfer discrepancies either into S3 or a Database. This enables users to create and execute data flows with remarkable ease. It stands out as a premier testing solution specifically tailored for Big Data Testing. Moreover, DataOps DataFlow seamlessly integrates with a wide array of both traditional and cutting-edge data sources, encompassing RDBMS, NoSQL databases, as well as cloud-based and file-based systems, ensuring versatility in data handling.

Media

Media

Integrations Supported

Activeeon ProActive
Amazon Redshift
Azure Synapse Analytics
Datagaps DataOps Suite
Google Cloud Platform
Google Compute Engine
Microsoft Power BI
Snowflake
Tableau

Integrations Supported

Activeeon ProActive
Amazon Redshift
Azure Synapse Analytics
Datagaps DataOps Suite
Google Cloud Platform
Google Compute Engine
Microsoft Power BI
Snowflake
Tableau

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Contact us
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/migrate/compute-engine

Company Facts

Organization Name

Datagaps

Date Founded

2010

Company Location

United States

Company Website

www.datagaps.com/dataops-dataflow/

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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