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  5. Scylla vs rqlite

Scylla vs rqlite

OverviewDecisionsComparisonAlternatives

Overview

ScyllaDB
ScyllaDB
Stacks143
Followers197
Votes8
rqlite
rqlite
Stacks9
Followers38
Votes1
GitHub Stars17.1K
Forks754

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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

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Advice on ScyllaDB, rqlite

Tom
Tom

CEO at Gentlent

Jun 9, 2020

Decided

The Gentlent Tech Team made lots of updates within the past year. The biggest one being our database:

We decided to migrate our #PostgreSQL -based database systems to a custom implementation of #Cassandra . This allows us to integrate our product data perfectly in a system that just makes sense. High availability and scalability are supported out of the box.

387k views387k
Comments
Vinay
Vinay

Head of Engineering

Sep 19, 2019

Needs advice

The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.

The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.

174k views174k
Comments

Detailed Comparison

ScyllaDB
ScyllaDB
rqlite
rqlite

ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures – eliminating barriers to scale as data grows.

rqlite is a distributed relational database, which uses SQLite as its storage engine. rqlite uses Raft to achieve consensus across all the instances of the SQLite databases, ensuring that every change made to the system is made to a quorum of SQLite databases, or none at all.

High availability; horizontal scalability; vertical scalability; Cassandra compatible; DynamoDB compatible; wide column; NoSQL; lightweight transactions; change data capture; workload prioritization; shard-per-core; IO scheduler; self-tuning
-
Statistics
GitHub Stars
-
GitHub Stars
17.1K
GitHub Forks
-
GitHub Forks
754
Stacks
143
Stacks
9
Followers
197
Followers
38
Votes
8
Votes
1
Pros & Cons
Pros
  • 2
    Replication
  • 1
    High performance
  • 1
    Written in C++
  • 1
    High availability
  • 1
    Scale up
Pros
  • 1
    So easy
Integrations
KairosDB
KairosDB
Wireshark
Wireshark
JanusGraph
JanusGraph
Grafana
Grafana
Hackolade
Hackolade
Prometheus
Prometheus
Kubernetes
Kubernetes
Datadog
Datadog
Kafka
Kafka
Apache Spark
Apache Spark
SQLite
SQLite

What are some alternatives to ScyllaDB, rqlite?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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