Service and Support
Customer service quality varies by Hadoop distributor, with Hortonworks rated highly. Apache Hadoop relies on community and forums for support, offering helpful documentation. Cloudera and other vendors provide premium support packages, helpful for complex issues. Many find online resources and forums sufficient for resolving problems. Some companies use external vendors or in-house teams, while official Apache support is limited. Technical support satisfaction varies, often reliant on distribution-specific services.
Deployment
Apache Hadoop's initial setup varies in complexity. Many users find it challenging without prior expertise. Tools like Ambari help simplify the process. Scaling nodes or integrating with additional tools adds complexity. Security, data migration, and precise configuration are common hurdles. Setup time ranges from days to months based on expertise and environment. Cloud deployments often ease the process. Maintenance typically requires skilled personnel to ensure stability and address unforeseen issues.
Scalability
Apache Hadoop is known for its scalability, handling large-scale data efficiently. Many users report it scales better in cloud environments than on-premises. It supports horizontal scaling, allowing easy addition of nodes for increased demands. Companies with diverse user bases, including data engineers and business users, find it flexible, supporting thousands of users and large data volumes. Its design allows efficient management, making it suitable for enterprises needing reliable data processing at scale.
Stability
Users report stable experiences with Apache Hadoop since transitioning from 1.x. Stability challenges arise mostly from startup procedures, insufficient memory, and configuration management. Many achieve high stability, citing its capability to handle large datasets. Versions consistently improve, enhancing reliability. Some encounter occasional issues during extensive processes or require careful management of components. These stability experiences are generally favorable, with most users rating it between seven and nine out of ten, noting improvements and adaptability as strengths.
