Overview

SQLite

Stacks19.9K

Followers15.2K

Votes535

ScyllaDB

Stacks143

Followers197

Votes8

SQLite vs Scylla: What are the differences?

SQLite and Scylla are both popular database management systems, but they have key differences that set them apart.

Data Structure: SQLite is a relational database management system that stores data in tables with predefined schemas, while Scylla is a NoSQL database that uses a key-value pair approach with flexible schemas, allowing for easier scaling and higher performance in distributed environments.
Consistency vs. Availability: SQLite prioritizes data consistency by locking the entire database during write operations, ensuring ACID compliance, whereas Scylla focuses on high availability by allowing concurrent writes without locking, sacrificing some consistency in favor of better performance and uptime.
Storage Architecture: SQLite utilizes a single-file storage model, making it suitable for small-scale applications and embedded systems where simplicity is essential, while Scylla distributes data across multiple nodes in a cluster, providing horizontal scalability and fault tolerance for enterprise-grade workloads.
Query Language Support: SQLite supports SQL queries for data manipulation and retrieval, making it suitable for users familiar with SQL syntax, whereas Scylla uses CQL (Cassandra Query Language), a SQL-like language optimized for distributed environments, offering features like tunable consistency levels and automatic partitioning.
Use Cases: SQLite is often used in embedded systems, mobile applications, and small-scale websites that require a lightweight, self-contained database, while Scylla is designed for heavy workloads in big data, real-time analytics, and Internet of Things (IoT) applications that demand high throughput, low latency, and seamless scalability.

In Summary, SQLite and Scylla differ in terms of data structure, consistency vs. availability, storage architecture, query language support, and use cases, catering to distinct needs in various applications.

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Advice on SQLite, ScyllaDB

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

Anonymous

Oct 29, 2019

Needs advice

Hi everyone! I am a high school student, starting a massive project. I'm building a system for a boarding school to be better connected to their students and be more efficient with information. In the meantime, I am developing a website and an android app. What's the best datastore I can use? I need to be able to access student data on the app from the main database and send push notifications. Also feed updates. What's the best approach? What's the best tool I can use to deploy the website and the database? One for testing and prototyping, and an official one... Thanks in advance!!!!

366k views366k

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

SQLite	ScyllaDB
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.	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.
-	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
Stacks 19.9K	Stacks 143
Followers 15.2K	Followers 197
Votes 535	Votes 8
Pros & Cons
Pros 163 Lightweight 135 Portable 122 Simple 81 Sql 29 Preinstalled on iOS and Android Cons 2 Not for multi-process of multithreaded apps 1 Needs different binaries for each platform	Pros 2 Replication 1 High performance 1 Written in C++ 1 High availability 1 Scale up
Integrations
No integrations available	KairosDB Wireshark JanusGraph Grafana Hackolade Prometheus Kubernetes Datadog Kafka Apache Spark

What are some alternatives to SQLite, ScyllaDB?

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.

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.

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.