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  5. Cassandra vs Sequel Pro

Cassandra vs Sequel Pro

OverviewDecisionsComparisonAlternatives

Overview

Cassandra
Cassandra
Stacks3.6K
Followers3.5K
Votes507
GitHub Stars9.5K
Forks3.8K
Sequel Pro
Sequel Pro
Stacks316
Followers366
Votes68
GitHub Stars9.2K
Forks838

Cassandra vs Sequel Pro: What are the differences?

  1. Data Model: Cassandra is a NoSQL database that follows a wide-column store data model, while Sequel Pro is a traditional relational database that uses tables with rows and columns for data storage.
  2. Scalability: Cassandra is designed for distributed architecture and can easily scale horizontally by adding more nodes to accommodate increasing data and workload, whereas Sequel Pro may face limitations in scaling due to its relational structure.
  3. Consistency: Cassandra offers eventual consistency, allowing for faster reads and writes at the cost of data consistency across nodes, whereas Sequel Pro, being an ACID-compliant relational database, prioritizes strong consistency.
  4. Partitioning: Cassandra partitions data by hash values of the primary key, distributing data evenly across nodes for efficient load balancing, whereas Sequel Pro relies on vertical partitioning by separating columns into separate tables.
  5. Query Language: Cassandra uses CQL (Cassandra Query Language) for queries, which is similar to SQL but has its own syntax and limitations, while Sequel Pro uses standard SQL for querying relational data.
  6. Performance: Cassandra is optimized for write-heavy workloads and can handle a large volume of writes with low latency, whereas Sequel Pro may perform better for complex join operations and relational queries.

In Summary, Cassandra and Sequel Pro differ in their data models, scalability, consistency levels, partitioning strategies, query languages, and performance characteristics.

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Advice on Cassandra, Sequel Pro

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
Sequel Pro
Sequel Pro

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.

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

-
Quickly filter and paginate table content;Fast, threaded UI;Document based connections — Save your connection and share it;Use windows or tabs — whichever works best for you;Navigator for connecting to servers and constructing queries
Statistics
GitHub Stars
9.5K
GitHub Stars
9.2K
GitHub Forks
3.8K
GitHub Forks
838
Stacks
3.6K
Stacks
316
Followers
3.5K
Followers
366
Votes
507
Votes
68
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
  • 25
    Free
  • 18
    Simple
  • 17
    Clean UI
  • 8
    Easy
Cons
  • 1
    Only available for Mac OS
Integrations
No integrations available
MySQL
MySQL

What are some alternatives to Cassandra, Sequel Pro?

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.

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

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.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

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