Overview

ScyllaDB

Stacks143

Followers197

Votes8

CockroachDB

Stacks216

Followers341

Votes0

CockroachDB vs Scylla: What are the differences?

# Introduction
CockroachDB and Scylla are two popular database management systems, each with unique features and characteristics. Understanding the key differences between these two platforms is crucial for choosing the right solution for your specific needs.

1. **Data Model**: CockroachDB utilizes a relational data model, offering SQL support and facilitating consistency across the system. In contrast, Scylla follows a NoSQL data model, specifically based on Apache Cassandra, making it suitable for large-scale distributed systems that require high availability.

2. **Consistency Levels**: CockroachDB provides strong consistency by default, ensuring that reads always return the most up-to-date information. On the other hand, Scylla allows developers to choose between different levels of consistency, like eventual or strong, based on the specific requirements of their applications.

3. **Partitioning Strategy**: CockroachDB uses automatic sharding called "Range Partitioning," which divides data into ranges for better scalability and distribution across nodes. In contrast, Scylla relies on "Virtual Node Partitioning" to evenly distribute data across the cluster, enhancing fault tolerance and performance.

4. **Concurrency Control**: CockroachDB employs a distributed MVCC (Multi-Version Concurrency Control) mechanism to manage concurrent read and write operations efficiently. Meanwhile, Scylla's lightweight transactions enable high-throughput operations and low-latency responses in a distributed environment.

5. **Deployment Model**: While CockroachDB supports multi-cloud deployment and simplified orchestration tools, Scylla focuses on bare-metal performance and hardware optimization, making it an ideal choice for organizations seeking maximum efficiency and performance.

6. **Query Language Support**: CockroachDB provides full SQL support, allowing seamless integration with existing applications and tools. In contrast, Scylla supports CQL (Cassandra Query Language), a SQL-like language tailored for NoSQL databases like Apache Cassandra, offering flexibility and familiarity for developers.

# In Summary, CockroachDB and Scylla differ in their data model, consistency levels, partitioning strategy, concurrency control, deployment model, and query language support, catering to distinct use cases and requirements based on specific business needs.

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Advice on ScyllaDB, CockroachDB

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

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

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Detailed Comparison

ScyllaDB	CockroachDB
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.	CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.
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	sql; high availability; fast; acid;
Statistics
Stacks 143	Stacks 216
Followers 197	Followers 341
Votes 8	Votes 0
Pros & Cons
Pros 2 Replication 1 Written in C++ 1 High availability 1 High performance 1 Distributed	No community feedback yet
Integrations
KairosDB Wireshark JanusGraph Grafana Hackolade Prometheus Kubernetes Datadog Kafka Apache Spark	No integrations available

What are some alternatives to ScyllaDB, CockroachDB?

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

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

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

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 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

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 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

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.