Oracle NoSQL and ScyllaDB provide NoSQL database solutions, each with unique strengths. ScyllaDB holds the upper hand for high-volume applications due to its performance and scalability.
Features: Oracle NoSQL offers strong consistency, advanced security, and integration with Oracle Cloud. ScyllaDB is notable for high throughput, low latency, and shard-per-core architecture.
Room for Improvement: Oracle NoSQL could enhance its open-source capabilities, provide more flexible deployment options, and improve performance in high-volume environments. ScyllaDB might benefit from enhanced enterprise support, reduced complexity in setup for new users, and further development of comprehensive documentation.
Ease of Deployment and Customer Service: Oracle NoSQL's deployment is complemented by extensive documentation and reliable customer service through Oracle's established channels. ScyllaDB offers straightforward deployment with its open-source nature but may require deeper technical expertise and relies on community-driven support.
Pricing and ROI: Oracle NoSQL often has higher setup costs due to enterprise-grade support, offering a solid ROI with its extensive features and reliability. ScyllaDB, favored for its open-source nature, presents a cost-effective solution with a higher ROI driven by performance efficiency, making it financially attractive for high-performance applications.
| Product | Market Share (%) |
|---|---|
| ScyllaDB | 8.9% |
| Oracle NoSQL | 2.7% |
| Other | 88.4% |
| Company Size | Count |
|---|---|
| Midsize Enterprise | 3 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
The Oracle NoSQL Database (ONDB) provides network-accessible multiterabyte distributed key/value pair storage with predictable latency. Data is stored in a very flexible key-value format, where the key consists of the combination of a major and minor key (represented as a string) and an associated value (represented as a JSON data format or opaque set of bytes). It offers full Create, Read, Update and Delete (CRUD) operations, with adjustable durability and consistency guarantees. It also provides powerful and flexible transactional model that eases the application development.
The Oracle NoSQL Database is designed to be a highly available and extremely scalable system, with predictable levels of throughput and latency, while requiring minimal administrative interaction.
For more information on Oracle NoSQL Database, visit Oracle.com
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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