Cloudera Distribution for Hadoop and ScyllaDB are both in the enterprise data management sector. Cloudera is favored for its comprehensive administrative features, while ScyllaDB leads in speed and efficiency, particularly in high-volume data environments.
Features: Cloudera Distribution for Hadoop includes Cloudera Manager for cluster management, Impala for fast data processing, and Sentry for enterprise security. ScyllaDB excels in performance efficiency using C++ and the Seastar library, offers fine-tuned resource management, and provides rapid data response times even in distributed systems.
Room for Improvement: Cloudera faces stability and processing speed issues with HBase 1.0 and struggles with configurations and technology integrations. Its licensing and pricing need revision. ScyllaDB requires enhancements in documentation, handling heavy deletions, and data modeling. Users seek easier setup processes and improvements in transaction management.
Ease of Deployment and Customer Service: Cloudera offers on-premises and cloud deployment with mixed customer support experiences. ScyllaDB focuses on hybrid and on-premises deployments and receives praise for efficient technical support, although documentation clarity is sometimes an issue.
Pricing and ROI: Cloudera is seen as expensive, suitable for large enterprises with difficult-to-measure long-term ROI. ScyllaDB is also costly but valued for its speed and efficiency. The enterprise version provides added value with direct support, though pricing remains a concern.
ScyllaDB is an open-source, distributed NoSQL wide-column datastore (a highly scalable NoSQL database), known for its compatibility with Apache Cassandra, and for supporting the same protocols as Cassandra (CQL and Thrift) and the same file formats (SSTable). ScyllaDB is designed for high throughput and low latency, making it suitable for data-intensive applications. Its architecture allows it to deliver remarkable performance on a massive scale, utilizing modern multi-core servers to their fullest potential
ScyllaDB utilizes a similar architecture, data format, and query language as Apache Cassandra, providing compatibility while dramatically improving speed and scalability.
The key advantages of ScyllaDB include its rewritten C++ implementation that eliminates Cassandra's expensive Java garbage collection pauses, built-in caching for fast access to frequently used data, and shard-aware drivers for direct routing of requests. This enables it to fully leverage modern multi-core servers for massive parallelism. The community is active and the latest major release, ScyllaDB Enterprise 2023.1.0 LTS, incorporates over 5,000 code commits focused on enhancing capabilities.
ScyllaDB supports wide-column data modeling for fast read performance at scale. It includes integrated monitoring and management tools to track database health and performance. For organizations looking to boost speed and reduce costs for NoSQL workloads, ScyllaDB offers a drop-in replacement for Cassandra that delivers lower latency, higher throughput, and increased scalability with fewer nodes. Its seamless migration path makes switching from Cassandra seamless, requiring minimal code changes.
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