Discover Hadoop Alternatives
S is for Simple. H is for Hard.
Hadoop started with the best of intentions: A goal of becoming the platform of choice for big data processing. While Hadoop has fostered innovation in big data, it has also built a reputation for being complex to implement and use. Challenges range from managing and maintaining the platform, to requiring scarce and specialized programming skills.
As a result, enterprises are considering Hadoop alternatives. Snowflake offers an easy-to-use data warehouse as a service built for the cloud. Snowflake provides a single solution that can store all of your diverse data and query it with standard SQL.
Gain insights from your data faster
Without the struggles of managing a complex platform or developing specialized scripts, you can natively load semi-structured data such as JSON or Avro and immediately begin querying the data.
Keep your data architecture Snowflake simple with a single, complete SQL database. Consolidate multiple data platforms and data marts into a scalable data warehouse based on the standard SQL known to millions of users and business intelligence tools. Query your data with familiar SQL – no data transformation required.
Achieve zero management
Eliminate burdensome administration with a true data warehouse as a service. No need to stress over name nodes, serializers and deserializers, securing data, job scheduling or other manual administration. Focus on using your data, not on managing your data platform.
Toss the complexity. Go for simplicity.
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.
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