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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Cassandra vs Sequelize

Cassandra vs Sequelize

OverviewDecisionsComparisonAlternatives

Overview

Cassandra
Cassandra
Stacks3.6K
Followers3.5K
Votes507
GitHub Stars9.5K
Forks3.8K
Sequelize
Sequelize
Stacks1.0K
Followers1.4K
Votes143
GitHub Stars30.2K
Forks4.3K

Cassandra vs Sequelize: What are the differences?

Cassandra vs Sequelize: Key Differences

Cassandra and Sequelize are two popular databases used in web development. While Cassandra is a NoSQL database designed for handling large amounts of distributed data, Sequelize is an Object-Relational Mapping (ORM) library for Node.js that supports SQL databases.

  1. Data Model: Cassandra follows a schema-agnostic model, allowing for the flexibility of adding or modifying columns without affecting existing data. On the other hand, Sequelize follows a strict schema model where the structure of the database is predefined, and any changes require migrations or manual alterations.

  2. Query Language: Cassandra uses Query Language (CQL), a SQL-like language for data manipulation and querying. Sequelize, on the other hand, relies on SQL queries to interact with the database. This means that Cassandra provides a native way of handling NoSQL interactions, while Sequelize relies on traditional SQL query syntax.

  3. Scaling: Cassandra is designed to scale horizontally, meaning that it can efficiently handle large amounts of data across multiple servers. It achieves this through its distributed architecture and replication strategy. Sequelize, being an ORM, relies on the underlying SQL database for scaling options, which typically involves vertical scaling by increasing hardware resources.

  4. Data Consistency: Cassandra is known for its eventual consistency model, where data updates are not immediately propagated to all nodes. Instead, updates are eventually replicated across all nodes, resulting in lower latency but potentially introducing stale data. Sequelize, on the other hand, typically relies on the ACID properties of SQL databases, ensuring strong data consistency across all operations.

  5. Performance: Cassandra is optimized for write-heavy workloads, making it ideal for applications that require high write throughput. Its decentralized architecture and data distribution strategy allow for efficient write scalability. Sequelize, being an ORM that relies on traditional SQL databases, may not be as performant as Cassandra for write-intensive applications.

  6. Database Support: Cassandra is a standalone database that does not rely on any external database engine. Sequelize, on the other hand, is an ORM library that supports various SQL databases such as MySQL, PostgreSQL, and SQLite. This means that Sequelize can be used with a wide range of existing SQL databases, while Cassandra requires its own infrastructure to be set up.

In Summary, Cassandra is a schema-agnostic NoSQL database optimized for write-heavy workloads and distributed architectures, while Sequelize is an ORM library for SQL databases with stricter schemas, stronger data consistency, and support for various SQL databases.

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Advice on Cassandra, Sequelize

Umair
Umair

Technical Architect at ERP Studio

Feb 12, 2021

Needs adviceonPostgreSQLPostgreSQLTimescaleDBTimescaleDBDruidDruid

Developing a solution that collects Telemetry Data from different devices, nearly 1000 devices minimum and maximum 12000. Each device is sending 2 packets in 1 second. This is time-series data, and this data definition and different reports are saved on PostgreSQL. Like Building information, maintenance records, etc. I want to know about the best solution. This data is required for Math and ML to run different algorithms. Also, data is raw without definitions and information stored in PostgreSQL. Initially, I went with TimescaleDB due to PostgreSQL support, but to increase in sites, I started facing many issues with timescale DB in terms of flexibility of storing data.

My major requirement is also the replication of the database for reporting and different purposes. You may also suggest other options other than Druid and Cassandra. But an open source solution is appreciated.

462k views462k
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

Cassandra
Cassandra
Sequelize
Sequelize

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.

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

Statistics
GitHub Stars
9.5K
GitHub Stars
30.2K
GitHub Forks
3.8K
GitHub Forks
4.3K
Stacks
3.6K
Stacks
1.0K
Followers
3.5K
Followers
1.4K
Votes
507
Votes
143
Pros & Cons
Pros
  • 119
    Distributed
  • 98
    High performance
  • 81
    High availability
  • 74
    Easy scalability
  • 53
    Replication
Cons
  • 3
    Reliability of replication
  • 1
    Updates
  • 1
    Size
Pros
  • 42
    Good ORM for node.js
  • 31
    Easy setup
  • 21
    Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite
  • 14
    Open source
  • 13
    Free
Cons
  • 30
    Docs are awful
  • 10
    Relations can be confusing
Integrations
No integrations available
SQLite
SQLite
Microsoft SQL Server
Microsoft SQL Server
Node.js
Node.js
PostgreSQL
PostgreSQL
MySQL
MySQL
MariaDB
MariaDB
io.js
io.js

What are some alternatives to Cassandra, Sequelize?

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.

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.

InfluxDB

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.

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