Azure Data Factory is a powerful tool designed to efficiently manage and integrate data from various sources. Users find it valuable for its seamless integration with Azure services, ability to handle large data volumes, flexibility in data transformation, and user-friendly interface.
The tool has improved team performance, workflow, collaboration, and productivity by streamlining processes and enhancing communication.
Our licensing fees are approximately 15,000 ($150 USD) per month.
This is a cost-effective solution.
Our licensing fees are approximately 15,000 ($150 USD) per month.
This is a cost-effective solution.
Alteryx is a little bit expensive compared to competing solutions.
Alteryx Designer is an expensive solution.
Alteryx is a little bit expensive compared to competing solutions.
Alteryx Designer is an expensive solution.
The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.
It is a higher initial cost than other easy-to-use integration apps.
They have pricing/usage tiers that are easy to move up or down.
It is a higher initial cost than other easy-to-use integration apps.
They have pricing/usage tiers that are easy to move up or down.
dbt™ is a SQL-first transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone on the data team can safely contribute to production-grade data pipelines.
Deploy safely using dev environments. Git-enabled version control enables collaboration and a return to previous states. Test every model prior to production, and share dynamically generated documentation with all data stakeholders. Write modular data transformations in .sql or .py files – dbt handles the chore of dependency management.
The solution’s pricing is affordable.
The solution’s pricing is affordable.
Upsolver's mission is to turn engineering-intensive data lakes into easy-to-use repositories that serve 50X more data professionals compared to the status-quo today. Upsolver cuts 95% from the tedious process of preparing event data for analytics and machine learning, using a visual SQL-based interface, a cloud-native data platform and deep technology for stream-processing, indexing and eventually-consistent file systems.
