Five differences between Stitch vs. Dell Boomi vs. Xplenty: Real-time data provides a competitive advantage, so every business requires an analytics strategy. But many organizations struggle to integrate data because they store information in lots of locations, including apps, SaaS, and legacy systems. Extract, Transform, and Load (ELT) makes it easier for companies like yours to access data in disparate locations and move it to one centralized system.

The amount of big data generated around the world by the time you finish this page is limitless. Think about it for a second. Companies everywhere will create an innumerable amount of data right now — customer records, sales orders, chain reports, emails, you name it. Companies need all this data for data analytics — the science of modeling raw data to uncover precious real-time insights about their business. It's like opening a treasure trove.

Version Control is a critical component of any software development team, particularly if you're collaborating with a large group of individuals. When done right, Version Control will help you track changes over time, like scheduling specific versions to accommodate the development of new features and bug fixes. You can even rollback to a specific version with ease as you continue testing.

A cornerstone to any successful SaaS business is great customer support. At Xplenty, one of our four key pillars is ‘Providing Fanatical Support’. For those of you who have been fortunate enough to work with our amazing Support team, you will know that they always go above and beyond to deliver fanatical support.

With 42 percent of Americans still working from home, we're using TVs for more than just Netflix. These viewing screens double up as dynamic digital dashboards, displaying powerful SaaS metrics that power your business. Whether you're working from home or the office, turning your TV into a SaaS KPI dashboard is simple. Five tools are all you need. This guide shows you how to bring business metrics to the small screen with your very own custom SaaS KPI dashboard.

Five differences between Stitch vs. MuleSoft vs. Xplenty: Organizations of all types need to pull data from disparate locations for data analysis. But the average company draws data from over 400 sources, making data integration difficult. Imagine if a technology could compile data from locations such as in-house databases, cloud-based apps, and SaaS and move it all into a centralized location. Extract, Transform, Load (ETL) makes this possible.

Extract, Transform, Load technology sits between your data source and its destination in your data stack. It’s a useful way of delivering data from multiple applications, databases, and other sources to your CRM, data lake, or data warehouse for analysis and use. But how do you know that it’s time to add ETL to your organization’s data stack?

In Part 1 we learned how to set up our Xplenty pipeline to work with Chartio and prepared the data source. In Part 2, we will focus on using the data Xplenty provides in the Chartio platform. If you're new to Chartio, you can read through their QuickStart docs (shouldn't take more than 5-10 minutes) to gain some familiarity.

Five differences between Stitch, Talend, and Xplenty: Organizations store data in many destinations, making that data difficult to analyze. Legacy systems, SaaS locations, in-house databases, apps, you name it — by storing data in all kinds of places, companies can complicate data analytics considerably. Storing data in a warehouse or a lake makes more sense.

Are you tired of slow dashboards? It’s a problem we hear end-users of BI tools complain about time and time again. Whether you’re an end-user or on the data team that the end-users blame, slow dashboards suck! With many BI tools now offering their own connectors and lightweight data transformation/preparation layers, slow dashboards are a common pain point across all organizations.