When you are looking for an alternative to Hadoop, turn to Snowflake. Snowflake requires no software stack to certify, provision, and maintain. Snowflake also provides a single, robust ANSI SQL environment, that is ACID-compliant, to query all of your diverse data. Learn more in our solution brief.
Other content in this Stream
Data Modeling in the Age of JSON
Webinar: Has Hadoop Delivered What You Hoped?
Hadoop created high hopes more than a decade ago. Why? Because traditional data warehouses couldn’t cope with the massive increases in data and the new data types generated from enterprise websites, m
Replacing Hadoop with Snowflake
It's true, Snowflake is a relational data warehouse. But with enhanced capabilities for semi-structured data - along with unlimited storage and compute - many organizations are replacing their data wa
Build a True Data Lake with a Cloud Data Warehouse
The right data lake platform is the modern cloud data warehouse integrated with a modern data management solution to equip your company with unfathomable levels of new insight.
Rethink What You Know About Creating a Data Lake for JSON
Over the last 10 years, the notion has been that to quickly and cost-effectively gain insights from a variety of data sources, you need a Hadoop platform. Sources of data could be weblogs,...
Beyond Hadoop: Modern Cloud Data Warehousing
Read this eBook to see how modern cloud data warehousing presents a dramatically simpler but more power approach than both Hadoop and traditional on-premises or “cloud-washed” data warehouse solutions
Efficient Processing of Semi-Structured Data
Within Reach: The End of Your Struggle for Data
A cloud data warehouse that truly takes advantage of modern cloud architecture can increase BI performance by up to 200x for a tenth of the cost of legacy data warehouse systems located on-premises or
IAC Publishing Labs Case Study
See how IAC Publishing Labs leveraged Snowﬂake on AWS to consolidate a 100 N Hadoop and 36 N legacy data warehouse appliance.
KIXEYE Case Study
Read how online gaming company KIXEYE was able to simplify and accelerate their data pipeline by using the Snowflake Elastic Data Warehouse to store, process, and analyze JSON event data together with
Hadoop vs. Hadon’t: What are the alternatives?
Easily Loading and Analyzing Semi-Structured Data in Snowflake
Organizations today need to store and analyze a growing number of JSON, XML, Avro, and other semi-structured data sources, but it's a challenge. Hadoop is an easy place to store data but it's awful fo
Modern Cloud Data Warehouse-as-a-Service vs. Hadoop For Diverse Data Analytics
Break free from complexity. Keep your data architecture super simple with a zero-admin, ACID-compliant, modern data warehouse built for the cloud. Support all your analytic needs on diverse data such
Inmoji: Scaling to 30MM New Devices in an Instant with Snowflake
Jarrod McLean, CTO and Chris Nagle, Sr Software Engineer from Inmoji explain why Inmoji, the exciting new emoji-based advertising tech platform needed to find a cloud data warehouse solution that can
Iovation: Innovating with Machine Learning Leveraging Snowflake
Watch Kurk Spendlove, Director of Engineering share how the leading SaaS provider of fraud prevention and multifactor authentication solutions switched from Vertica to Snowflake in order to load semi
Processing JSON data in Snowflake
See how you can store and query JSON data in Snowflake without transformation. To learn more about using JSON in Snowflake, check out these blog posts: https://www.snowflake.net/snowflake-sql-making-s
JSON Support with Snowflake
Hopefully you had a chance to read our previous top 10 posts. As promised, we continue the series with a deeper dive into another of the Top 10 Cool Features from Snowflake. #6 JSON support with...
Bringing Together Structured and Semi-Structured Data