Compare Sisense vs Snowflake

Summary

Sisense aims to make your data accessible and understandable to both technical and non-technical users. It can help you take complex data and then make sense of it so you can apply this insight across your business to improve operations and drive revenue. Sisense offers a wide range of solutions, from new modes of interaction to augmented intelligence and machine learning. By using Sisense, you can connect data from multiple sources, such as your CRM, marketing systems, and so on, and then centralize this data in one place so you can get insights into your business in minutes. To do this, you don’t need any technical knowledge, so it is also suitable for marketers and any other users who don’t know scripting or coding. Sisense also enhances your data and insight with its intuitive and visual user interface, as well as the smart suggestions it makes. ..show more

Snowflake is a data cloud solution enabling organizations to run their workloads within a single platform eliminating data silos. The software offers real-time access to an intuitive network of 1000+ business enterprises, monitoring data as providers and consumers. Enterprises can execute diversified analytical workloads as per the accurate location of individual data. Thus delivering a seamless experience across differential public clouds and the regions they are located at. The FedRamp authorized solution ensures complete compliance with multiple industrial and governmental regulations, besides offering a wide variety of cloud data security measures. The robust architecture of Snowflake facilitates native integration between computing, storage and services. Enterprises also get to collaborate across their business ecosystem, get access to shared data sets and services through data marketplace offered by the software. Business houses can generate modern data applications and get them running on Snowflake. Thus offering a robust experience to individual employees, customers and business partners as well. ..show more

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