The open source project that spawned generations of big-data technologies and provides the foundation for Hive, Pig and MapReduce, Hadoop is still today’s choice for workloads that require virtually unlimited scalability, a high degree of dependability, and support for a wide range of workload types. These characteristics make Apache Hadoop particularly suitable for batch processing of ETL jobs on large data sets, complex workflow diagrams, or data structures that exceed the in-memory limitations of other engines.
Cloud Agent technology augments original Hadoop with a self-managing and self-optimizing platform:
Cloud-optimized for faster workload performance
Easier to integrate with existing data sources and tools
AWS: Hadoop 1 0.20.1
AWS, Azure, Oracle OCI: Hadoop 2 2.6.0
WE ARE GROWING VERY FAST AS A STARTUP AND NEEDED A WAY ACCELERATE OUR TIME TO VALUE FOR HADOOP,” EXPLAINS MICKEY ALON, INSIGHTERA’S CEO, AND CO-FOUNDER. “WE WANTED TO FOCUS MORE ON DATA PROCESSING AND TURNING INSIGHTS INTO ACTIONABLE RESULTS, AND LESS ON THE OPERATIONAL SIDE OF HADOOP AND AMAZON S3 FOR TACKLING OUR BIG DATA INTEGRATION CHALLENGES.
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source.