Azure Databricks
IBM Cloud Pak for Data
MicroStrategy
MATLAB
Arcadia Enterprise
Splunk Enterprise
Apache Kudu
MyAnalytics
DevDock
Docker Desktop
DevDock keeps local projects in one sidebar and gives each project a focused workspace for its overview, commands, run history, databases, security checks, settings, and tools. The Today view surfaces recent projects and saved daily workflows. Inside a project, DevDock connects registered folders, detected technologies, Docker and Git state, database operations, local security findings, and the actions used to get back to work.
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DevDock's answer:
DevDock brings local software projects, saved commands, Docker environments, database operations, project health, and security checks into one Windows desktop workspace. Each project has a focused view for its overview, commands, run history, databases, security checks, settings, and tools, while the Today view surfaces recent projects and saved daily workflows.
DevDock's answer:
DevDock is a fit for developers who switch between local codebases and want repeatable project context in one place. It connects registered folders, detected technologies, saved commands, Git and Docker state, database operations, local security findings, and project health checks without requiring repositories to be moved into one folder or uploaded to a service.
DevDock's answer:
DevDock is primarily for Windows developers who switch between local codebases, work across frontend, backend, mobile, and infrastructure repositories, or want repeatable local setup and project workflows without uploading source code.
Based on our record, Azure Databricks seems to be more popular. It has been mentiond 2 times since March 2021. 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.
In the big data space, Azure offers Azure Databricks. This is an Apache Spark big data analytics and machine learning service over a Distributed File System. The distributed cluster of nodes running analytics and AI operations in parallel allow for fast processing of large volumes of data and integration with popular machine learning libraries such as PyTorch unleash endless possibilities for custom ML. - Source: dev.to / about 5 years ago
https://azure.microsoft.com/en-us/services/databricks. - Source: Hacker News / over 5 years ago
IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift โ fully integrated, open, containerized and secure solutions certified by IBM.
Docker Desktop - Docker Desktop is a one-click-install application that lets you to build, share, and run containerized applications and microservices.
MicroStrategy - MicroStrategy is a cloud-based platform providing business intelligence, mobile intelligence and network applications.
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
Arcadia Enterprise - Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.
Splunk Enterprise - Splunk Enteprise is the fastest way to aggregate, analyze and get answers from your machine data with the help machine learning and real-time visibility.