Razor is a cutting-edge configuration management platform that lets users share queries, use version control systems, datasets, and track releases without breaking a sweat. From cataloging data assets to unifying disparate data sources and more, it lets businesses focus on projects that matter and promotes team collaborations. Its biggest advantages lie in data transformation and data modeling, giving developers all the tools they require to streamline project workflows.
Detailed Razor Version Control Systems has not been disclosed, but it is in line with leading competitors in the Version Control Systems market. Most software companies and vendors require users to contact them with details so they can offer competitive personalized pricing based on exact business needs. For more details on the best Razor Version Control Systems plans and offers contact the vendor directly.
There is no video displayed on the main website that illustrates how Razor Version Control Systems works. However, developers have made several training guides and PDF files available for download that feature illustrations and instructions on how to use the platform. To unlock its major capabilities, the software has to be purchased.
Get InsightsTrack data lineage, identify new data sets and trends related to the history of data thus saving time scraping for data and gives actionable insights. Lets entrepreneurs make key business decisions based on findings and annotate data sets for further exploration that helps make predictions.
Collaborate on ProjectsShare data source links with teams that work together on projects. Shareable data sets, queries, and data models shareable.
Metadata RepositoriesHelps catalog metadata, data sources, and key attributes. Makes establishing data relationships a seamless experience.
Unifies Data for BusinessesTakes disparate data sources and unifies them with cutting-edge data analytics saves valuable time while maintaining data integrity. Boosts data quality, cleans up unorganized data, and helps find patterns in existing data.