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  5. JSONlite vs Scylla

JSONlite vs Scylla

OverviewDecisionsComparisonAlternatives

Overview

JSONlite
JSONlite
Stacks122
Followers19
Votes2
GitHub Stars843
Forks37
ScyllaDB
ScyllaDB
Stacks143
Followers197
Votes8

JSONlite vs Scylla: What are the differences?

# Introduction
This Markdown document compares the key differences between JSONlite and Scylla.

1. **Data Model**: JSONlite stores data in a lightweight, text-based format based on JavaScript Object Notation (JSON), while Scylla is a distributed wide-column store NoSQL database based on Apache Cassandra with a Tabular-like data model.
2. **Query Language**: JSONlite does not have a specific query language as it uses JSON manipulations, whereas Scylla uses CQL (Cassandra Query Language) for querying the data stored in the database.
3. **Consistency**: JSONlite is typically used for small-scale applications or testing and does not guarantee high consistency levels, while Scylla is designed for high availability and strong consistency, making it suitable for large-scale applications requiring stringent consistency levels.
4. **Scalability**: JSONlite is not designed for distributed storage and does not offer built-in support for scalability across multiple nodes, whereas Scylla is designed for horizontal scalability with automatic partitioning and distribution of data across nodes in a cluster.
5. **Performance**: JSONlite is optimized for simplicity and minimal resource usage, making it fast for small datasets; however, Scylla is optimized for high performance with features like shard-aware drivers, high-throughput ingestion, and efficient data distribution for large datasets.
6. **Deployment**: JSONlite is typically used as embedded storage in applications or lightweight scenarios, whereas Scylla is deployed in distributed environments where high availability, performance, and scalability are crucial requirements.

In Summary, JSONlite and Scylla differ in data model, query language, consistency levels, scalability, performance, and deployment scenarios, making them suitable for different use cases based on specific requirements.

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Advice on JSONlite, ScyllaDB

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

JSONlite
JSONlite
ScyllaDB
ScyllaDB

JSONlite sandboxes the current working directory similar to SQLite. The JSONlite data directory is named jsonlite.data by default, and each json document is saved pretty printed as a uuid.

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
GitHub Stars
843
GitHub Stars
-
GitHub Forks
37
GitHub Forks
-
Stacks
122
Stacks
143
Followers
19
Followers
197
Votes
2
Votes
8
Pros & Cons
Pros
  • 2
    IoT
Pros
  • 2
    Replication
  • 1
    Written in C++
  • 1
    High availability
  • 1
    Scale up
  • 1
    Distributed
Integrations
No integrations available
KairosDB
KairosDB
Wireshark
Wireshark
JanusGraph
JanusGraph
Grafana
Grafana
Hackolade
Hackolade
Prometheus
Prometheus
Kubernetes
Kubernetes
Datadog
Datadog
Kafka
Kafka
Apache Spark
Apache Spark

What are some alternatives to JSONlite, ScyllaDB?

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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