ApsaraDB vs Scylla: What are the differences?

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1. Data Model: ApsaraDB primarily uses a relational database model, while Scylla is a distributed NoSQL database that uses a wide-column store data model.

2. Consistency: ApsaraDB provides strong consistency by default, ensuring that all reads reflect the latest write. In contrast, Scylla offers tunable consistency levels where users can choose between strong consistency or eventual consistency based on their specific requirements.

3. Storage Engine: ApsaraDB uses InnoDB as its default storage engine, which is suitable for OLTP workloads. On the other hand, Scylla utilizes a highly efficient storage engine called Seastar that is optimized for high-throughput and low-latency workloads.

4. Partitioning Strategy: ApsaraDB uses horizontal partitioning for scaling data across multiple nodes, while Scylla relies on a shared-nothing architecture with automatic data partitioning for managing data distribution and scalability.

5. Indexing: ApsaraDB supports various indexing mechanisms like B-tree and full-text indexes for efficient data retrieval. In contrast, Scylla uses secondary indexes and materialized views for flexible querying and indexing capabilities.

6. Performance: ApsaraDB is known for its robust performance for transactional workloads with features like caching and storage optimizations. Scylla, on the other hand, excels in high-throughput and low-latency scenarios due to its optimized storage engine and distributed architecture.

In Summary, ApsaraDB and Scylla differ in their data model, consistency levels, storage engines, partitioning strategies, indexing mechanisms, and performance characteristics.