Users Love SnapLogic and Declare it a G2Crowd Leader

3 min read

I’m thrilled to share that SnapLogic has one again been recognized as a Leader in both the G2Crowd Grids for iPaas and Big Data Integration. These quarterly reports are especially rewarding because they are built primarily on customer reviews, so it’s great to see not just how much value SnapLogic brings our customers but also to see where exactly they get the most value from us. 

Below are some of the reviews that came out this last quarter and the range of use cases and problems our customers are solving with our unified app and data integration platform is impressive. From automating business processes to ETL and fast data warehouse loading, to cutting developer productivity in half, it’s great to see the breadth and depth of value our customers are getting from SnapLogic.

SnapLogic Intelligent Integration Platform (IIP) reviews sourced by G2

The amount of customers struggling with modern data integration is not too surprising. Our recent study conducted by independent research firm Vanson Bourne found that nearly nine in ten (88%) IT decision-makers experience challenges trying to load data into data warehouses, with the biggest inhibitors being legacy technology (49%), complex data types and formats (44%), data silos (40%), and data access issues tied to regulatory requirements (40%). This likely contributes to the more than 4 hours of time lost, on average per employee per week.

Solving these headaches for our customers is one of the reasons we have continued to invest in our data capabilities — little known fact, SnapLogic started as an application integration platform! For example, in our last quarterly release we added ELT support to our platform as well as a Fast Data Loader solution that can load data 20x faster into data warehouses.

It’s these continuous innovation investments that we hope keep our customers incredibly happy for quarters, months, and years to come.

Director, Corporate Communications at SnapLogic
Category: Enterprise
Topics: Big Data iPaaS

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