Scylla vs rqlite: What are the differences?
Introduction
In this Markdown code, we will outline the key differences between Scylla and rqlite in a concise format suitable for a website.
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Data Model: Scylla is a distributed database that follows a wide-column store data model, similar to Apache Cassandra. On the other hand, rqlite employs a relational data model, where data is stored in tables with rows and columns like traditional SQL databases.
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Consistency Protocol: Scylla uses a tunable consistency model, allowing users to choose between eventual consistency or strong consistency levels. In contrast, rqlite utilizes the Raft consensus algorithm, which guarantees strong consistency for all transactions.
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Architecture: Scylla is designed as a shared-nothing architecture, optimized for horizontal scalability by distributing data across multiple nodes. Conversely, rqlite adopts a shared-disk architecture, with all nodes connected to a common storage medium for data persistence.
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Language Support: Scylla is primarily written in C++, with support for client libraries in various languages such as Python, Java, and Go. On the other hand, rqlite is implemented in Go and provides client libraries mainly for Go and Python.
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Deployment Complexity: Scylla requires manual configuration and tuning of hardware resources, including memory allocation and partitioning strategies for optimal performance. In contrast, rqlite offers a simpler deployment process through its lightweight nature, ideal for use cases with limited resources.
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Query Language: Scylla supports the CQL (Cassandra Query Language) for data manipulation and retrieval, tailored for its wide-column data model. Meanwhile, rqlite interfaces with SQLite and uses traditional SQL queries for interacting with relational data.
In Summary, Scylla and rqlite differ in data model, consistency protocol, architecture, language support, deployment complexity, and query language preferences.