Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Dataform provides a platform for data analysts and engineers to create and manage scalable data transformation pipelines in BigQuery using solely SQL from a single, integrated interface. The open-source core language allows teams to outline table structures, manage dependencies, include column descriptions, and establish data quality checks within a collective code repository, all while adhering to best practices in software development, such as version control, various environments, testing protocols, and comprehensive documentation. A fully managed, serverless orchestration layer seamlessly oversees workflow dependencies, monitors data lineage, and executes SQL pipelines either on demand or on a schedule through tools like Cloud Composer, Workflows, BigQuery Studio, or external services. Within the browser-based development interface, users can receive immediate error notifications, visualize their dependency graphs, link their projects to GitHub or GitLab for version control and code reviews, and initiate high-quality production pipelines in just minutes without exiting BigQuery Studio. This efficiency not only accelerates the development process but also enhances collaboration among team members.
Description
POMS serves as a comprehensive solution designed to streamline the operations of a project office efficiently. It facilitates a multi-user setting where projects can be created and managed with ease. By integrating various tasks that are typically handled using several separate software applications, POMS can significantly enhance productivity in your projects. All information is securely stored in a central repository, granting users access to data within a distributed computing framework. POMS offers remarkable flexibility in deployment options, accommodating setups that range from a straightforward standalone configuration to a sophisticated load-balanced four-tier client-server architecture. Regardless of the deployment method, even when accessed over the Internet, POMS maintains a consistent graphical user interface. This interface is not reliant on a web browser, but instead is a high-quality native interface akin to what users are accustomed to on their desktops, leading to a more responsive and intuitive experience compared to traditional browser-based systems. Furthermore, the user-friendly design of POMS ensures that team members can navigate the application with minimal training, maximizing efficiency from the outset.
API Access
Has API
No
API Access
Has API
No
Integrations
Flip
No
GitHub
Yes
GitLab
Yes
Google Cloud BigQuery
Yes
Google Cloud Managed Service for Apache Airflow
Yes
SQL
Yes
Integrations
Flip
Yes
GitHub
No
GitLab
No
Google Cloud BigQuery
No
Google Cloud Managed Service for Apache Airflow
No
SQL
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$500 per user per month
Free Trial
No
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
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/dataform
Vendor Details
Company Name
PragSoft
Founded
1997
Country
United States
Website
www.pragsoft.com
Product Features
Product Features
Project Management
Agile Methodologies
Yes
Budget Management
Yes
Client Portal
Yes
Collaboration Tools
Yes
Cost-to-Completion Tracking
Yes
Customizable Templates
Yes
Gantt Charts
Yes
Idea Management
Yes
Kanban Board
Yes
Milestone Tracking
No
Portfolio Management
Yes
Resource Management
Yes
Time & Expense Tracking
Yes
Traditional Methodologies
Yes