Overview

ScyllaDB

Stacks143

Followers197

Votes8

RxDB

Stacks59

Followers179

Votes63

GitHub Stars22.8K

Forks1.1K

RxDB vs Scylla: What are the differences?

Introduction:
 
1. **Data Storage Model**: RxDB is a client-side database that stores data in the user’s browser, while Scylla is a distributed database designed for high availability and performance in server-side environments.
2. **Query Language**: RxDB uses query language similar to MongoDB, allowing developers to use familiar syntax for querying data in the database, whereas Scylla uses CQL (Cassandra Query Language) which is specific to Cassandra-like databases.
3. **Replication**: Scylla offers built-in support for multi-datacenter replication, making it suitable for geographically distributed applications, whereas RxDB does not provide native support for replication across multiple databases.
4. **Scale**: Scylla is designed to scale horizontally by adding more server nodes to increase performance and capacity, while RxDB is limited to a single client-side instance and does not support horizontal scaling.
5. **Consistency**: RxDB offers ACID (Atomicity, Consistency, Isolation, Durability) guarantees on the client-side, ensuring data consistency within the browser, whereas Scylla provides tunable consistency levels to balance between data availability and consistency in distributed environments.
6. **Deployment**: RxDB is typically deployed as part of a client-side application using web technologies, whereas Scylla is deployed on server machines to handle large-scale data processing and storage.

In Summary, RxDB is best suited for client-side applications with limited data storage needs, while Scylla is ideal for server-side applications requiring high availability, scalability, and distributed data management capabilities.

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Advice on ScyllaDB, RxDB

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.

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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	RxDB
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.	💻 📱 Reactive, serverless, client-side, offline-first database in javascript. Client-Side Database for Browsers, NodeJS, electron, cordova, react-native and every other javascript-runtime.
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 22.8K
GitHub Forks -	GitHub Forks 1.1K
Stacks 143	Stacks 59
Followers 197	Followers 179
Votes 8	Votes 63
Pros & Cons
Pros 2 Replication 1 High availability 1 Scale up 1 Distributed 1 Fewer nodes	Pros 15 Good documentation 13 Subscription to queries 11 Example projects 10 Works 10 Typescript support Cons 4 Bulk operation for updates and other operation
Integrations
KairosDB Wireshark JanusGraph Grafana Hackolade Prometheus Kubernetes Datadog Kafka Apache Spark	Pouchdb CouchDB Cloudant React Angular Ionic Vue.js

What are some alternatives to ScyllaDB, RxDB?

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.