Scylla vs WatermelonDB

Overview

ScyllaDB

Stacks143

Followers197

Votes8

WatermelonDB

Stacks12

Followers123

Votes1

GitHub Stars11.3K

Forks626

Scylla vs WatermelonDB: What are the differences?

Introduction: In the world of web development, choosing the right database solution is crucial. Scylla and WatermelonDB are two popular options that developers often consider. Below are key differences between Scylla and WatermelonDB, highlighting their unique features and use cases.

1. Data Structure and Querying: Scylla is a high-performance, distributed NoSQL database, utilizing Cassandra's architecture and offering low latency and high throughput for large-scale data. In contrast, WatermelonDB is specifically designed for mobile and offline-first applications, using SQLite as its storage engine and providing a synchronization mechanism for seamless offline functionality.

2. Performance and Scalability: Scylla is known for its exceptional performance, capable of handling massive amounts of data with low latency, making it ideal for high-velocity, high-volume use cases. WatermelonDB, on the other hand, is optimized for on-device performance, providing fast reads and writes for mobile applications with limited resources.

3. Consistency Model: Scylla follows the eventual consistency model, ensuring availability and partition tolerance in distributed systems, allowing for quick responses despite potential inconsistencies. WatermelonDB focuses on strong consistency, guaranteeing data integrity and reliability, crucial for applications that require accurate and up-to-date information.

4. Programming Language Support: Scylla is compatible with various programming languages such as C++, Python, and Java, offering flexibility for developers to work with their preferred language. WatermelonDB, with its focus on mobile development, provides extensive support for JavaScript, making it convenient for frontend developers working on mobile applications.

5. Use Cases: Scylla is ideal for mission-critical applications that prioritize performance, scalability, and fault tolerance, such as real-time analytics, IoT data processing, and financial services. WatermelonDB caters to mobile applications that require seamless offline functionality, data synchronization, and minimal resource consumption, including e-commerce platforms, productivity tools, and social networking apps.

In Summary, Scylla excels in performance and scalability for large-scale data processing, while WatermelonDB specializes in providing fast, on-device storage and synchronization for offline-first mobile applications.

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Advice on ScyllaDB, WatermelonDB

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

Comments

Detailed Comparison

ScyllaDB	WatermelonDB
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.	WatermelonDB is a new way of dealing with user data in React Native and React web apps. It's optimized for building complex applications in React Native, and the number one goal is real-world performance. In simple words, your app must launch fast.
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 11.3K
GitHub Forks -	GitHub Forks 626
Stacks 143	Stacks 12
Followers 197	Followers 123
Votes 8	Votes 1
Pros & Cons
Pros 2 Replication 1 High performance 1 Written in C++ 1 High availability 1 Scale up	Pros 1 Undefined is not an object (evaluating 'columnSchema.ty
Integrations
KairosDB Wireshark JanusGraph Grafana Hackolade Prometheus Kubernetes Datadog Kafka Apache Spark	RxJS React SQLite React Native

What are some alternatives to ScyllaDB, WatermelonDB?

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.

Related Comparisons

Scylla vs WatermelonDB: What are the differences?

Scylla vs WatermelonDB

Overview