K3 for PostgreSQL

The Major Differences Between Alteryx and K3 Let’s see how Alteryx stacks up against K3 when it comes to key functionality. Expertise Required: Anyone who needs to access and analyze data can use K3, thanks to its low-code environment. Alteryx requires coding expertise and is best-suited as a “single-seat tool used by a ‘Top Technical […]

Data blending, or the process of combining data sets, is a staple of data prep. As we’ve previously discussed, low code data blending allows non-technical analysts to combine data sets without using SQL or other coding to, creating new efficiency in a process that used to be handled exclusively by IT. Yet there are key

There was a time when building your own data integration infrastructure, engine and workflow made sense. Back then, there were few vendors and services that could integrate with the many heritage systems you acquired to manage, calculate, display and activate data. And the ones that did required tons of coding and still delivered data in

The Major Differences between SSIS ETL and K3 ETL Is your organization considering an ETL solution for its data needs? Here is a high-level comparison of the SSIS ETL and K3 ETL platforms to determine which option is a better fit. Ease of use: SSIS requires expert-level coding knowledge; K3 visualizes and normalizes data with

Alooma and K3: Comparative Overview Let’s see how Alooma matches up against K3 when it comes to key ETL workflow. Deployment: K3 seamlessly integrates data across ETL platforms, data sources, deployment scenarios, and data storage platforms. looma limits users to hosted-cloud deployment and the Google data environment. Data Load: As primarily a data pipeline service,