AWS Server Migration Service
Software AG webMethods
AWS Import/Export
Talend Data Integration
Oracle Siebel UCM
Informatica PowerCenter
AWS Snowball
Microsoft SQL
Jupyter
Databricks
Looker
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
Based on our record, Jupyter seems to be a lot more popular than AWS Server Migration Service. While we know about 206 links to Jupyter, we've tracked only 5 mentions of AWS Server Migration Service. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Check out AWS Migration Service: https://aws.amazon.com/server-migration-service/. Source: about 1 year ago
Https://aws.amazon.com/server-migration-service/ claims to do what you want I know of a similar tool from vmware but it's one of those things that should be easy but isnt because the cloud sometimes bleed abstractions that makes it hard to simply do a lift and shift. Source: almost 2 years ago
Server Migration Service - install an agent on the source VM, and it'll replicate all data and ongoing changes into an EC2 instance that can then be launched in AWS: https://aws.amazon.com/server-migration-service/. Source: over 2 years ago
AWS Server Migration Service — This service makes it easy and quick to move workloads to AWS, particularly when dealing with large-scale server migrations. - Source: dev.to / almost 3 years ago
This is the simple lift and shift approach - move the application from the premises into the cloud - with very little changes. A lot of this effort can be automated using the AWS Server Migration Service. - Source: dev.to / almost 3 years ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / 22 days ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / about 1 month ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / about 2 months ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / about 2 months ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 3 months ago
Software AG webMethods - Software AG’s webMethods enables you to quickly integrate systems, partners, data, devices and SaaS applications
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
AWS Import/Export - Utilities, Application Utilities, and Data Transfer
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.