SnapLogic is the industry’s first unified data and application integration platform as a service (iPaaS). Our hybrid cloud architecture is powered by 300+ Snaps, which are pre-built integration components that simplify and automate complex enterprise integration patterns and processes. Funded by leading venture investors, including Andreessen Horowitz and Ignition Partners, and co-founded by Gaurav Dhillon, the SnapLogic Elastic Integration Platform enables leading enterprises to connect faster and gain a better return on their cloud application and big data investments.
A Big Data, Analytics & Data Science Specialist, GrayMatter has implemented 200+ successful BI and Analytics solutions across multiple industries globally. GrayMatter offers pre-built analytics solutions as well as custom BI & analytics services. GrayMatter’s pre-built analytics solutions...
Acquired by Mindtree in 2015, Relational Solutions, POSmart Enterprise Demand Signal Repository is a world class solution for Consumer Goods Manufacturers that dramatically improves business efficiencies by maximizing sales while optimizing demand planning and inventory management. POSmart, a...
The Spark Snap enables customers to create Spark-based data pipelines without coding. These high-performance pipelines are ideally suited for memory-intensive, iterative processes. With this addition, customers can choose to use either MapReduce or Spark for data processing, depending upon... Read more
As you invest in Hadoop distributions like Cloudera, Hortonworks and MapR, it becomes increasingly difficult to find and afford the technical resources to effectively perform complex, time-consuming tasks such as moving data into and out of the Hadoop system. This is where SnapLogic can make... Read more
Splunk does a great job of analyzing machine data and operational intelligence, but the analysis is only as comprehensive as the data that is fed into it. To get as much value as possible out of your Splunk investment using SnapLogic integration, you need to ingest the most data possible from as... Read more
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