Software Alternatives, Accelerators & Startups

Apache Cassandra VS Requestly

Compare Apache Cassandra VS Requestly and see what are their differences

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Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Requestly logo Requestly

A Powerfulย API Mockingย andย Testingย Tool
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • Requestly Requestly
    Requestly //
    2025-02-12
  • Requestly Rest Client
    Rest Client //
    2025-02-12
  • Requestly HTTP Interceptor
    HTTP Interceptor //
    2025-02-12
  • Requestly API Mocking
    API Mocking //
    2025-02-12
  • Requestly Requestly
    Requestly //
    2025-02-12

Requestly is a modern and powerful companion for API Development and Testing. It is an open-source tool purpose-built to speed up and simplify API development workflow for developers and QAs. It is a combination of API Client and HTTP Interceptor that helps create and share API Contracts, testing APIs, and easily mock and integrate them into web and mobile apps.

Apache Cassandra

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Requestly

$ Details
freemium
Platforms
Google Chrome Firefox Edge Safari Brave Opera Vivaldi Android Windows Linux Mac OSX MacOS
Release Date
2021 January
Startup details
Country
United States
State
California
Founder(s)
Sachin Jain, Sagar Soni, Sahil Gupta
Employees
20 - 49

Apache Cassandra features and specs

  • Scalability
    Apache Cassandra is designed for linear scalability and can handle large volumes of data across many commodity servers without a single point of failure.
  • High Availability
    Cassandra ensures high availability by replicating data across multiple nodes. Even if some nodes fail, the system remains operational.
  • Performance
    It provides fast writes and reads by using a peer-to-peer architecture, making it highly suitable for applications requiring quick data access.
  • Flexible Data Model
    Cassandra supports a flexible schema, allowing users to add new columns to a table at any time, making it adaptable for various use cases.
  • Geographical Distribution
    Data can be distributed across multiple data centers, ensuring low-latency access for geographically distributed users.
  • No Single Point of Failure
    Its decentralized nature ensures there is no single point of failure, which enhances resilience and fault-tolerance.

Possible disadvantages of Apache Cassandra

  • Complexity
    Managing and configuring Cassandra can be complex, requiring specialized knowledge and skills for optimal performance.
  • Eventual Consistency
    Cassandra follows an eventual consistency model, meaning that there might be a delay before all nodes have the latest data, which may not be suitable for all use cases.
  • Write-heavy Operations
    Although Cassandra handles writes efficiently, write-heavy workloads can lead to compaction issues and increased read latency.
  • Limited Query Capabilities
    Cassandra's query capabilities are relatively limited compared to traditional RDBMS, lacking support for complex joins and aggregations.
  • Maintenance Overhead
    Regular maintenance tasks such as node repair and compaction are necessary to ensure optimal performance, adding to the administrative overhead.
  • Tooling and Ecosystem
    While the ecosystem for Cassandra is growing, it is still not as extensive or mature as those for some other database technologies.

Requestly features and specs

  • Redirect URL
  • Block Network Requests
  • Modify Request & Response Header
  • Modify Response
  • Supercharge Selenium
  • Session Replay
  • Modify Query Params
  • Team Workspace
  • API Client
  • API Mocks
  • GraphQL Support
  • Zero Setup
  • Auto Capture Sessions
  • Network Logs
  • Console Logs

Analysis of Apache Cassandra

Overall verdict

  • Apache Cassandra is an excellent choice if you require a database system that can efficiently manage large-scale data while ensuring high availability and reliability. It is particularly well-suited for use cases that demand a robust, distributed, and scalable database solution.

Why this product is good

  • Apache Cassandra is a highly scalable and distributed NoSQL database management system designed to handle large amounts of data across multiple commodity servers without a single point of failure. It offers robust support for replicating data across multiple data centers, thereby enhancing fault tolerance and availability. Its masterless architecture and linear scalability make it suitable for high throughput online transactional applications.

Recommended for

  • Applications that require high availability and fault tolerance
  • Systems with large volumes of write-heavy workloads
  • Organizations that need multi-data center replication
  • Businesses seeking a scalable solution for distributed databases
  • Use cases needing real-time data processing with low latency

Analysis of Requestly

Overall verdict

  • Requestly is generally regarded as a good tool due to its comprehensive functionalities and ease of use. Its ability to seamlessly manage network requests makes it suitable for both beginners and experienced developers.

Why this product is good

  • Requestly is widely considered a valuable tool because it offers robust and flexible features for intercepting and modifying network requests. Developers and QA testers appreciate it for its ability to simulate and debug API calls efficiently. It is particularly useful for testing changes without altering the codebase and for working with web applications in development and production environments.

Recommended for

  • Developers looking to debug and test API endpoints.
  • Quality Assurance (QA) teams that require reliable testing tools for web applications.
  • Technical professionals who manage network traffic and need to modify or redirect requests effortlessly.
  • Anyone involved in web development who needs to simulate network conditions or test application behavior under different scenarios.

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandraโ„ข

More videos:

  • Review - Introduction to Apache Cassandraโ„ข

Requestly videos

Get Started with Requestly

More videos:

  • Demo - Session Replays by Requestly
  • Tutorial - Modify API Response using Requestly Chrome Extension
  • Tutorial - How to load local JS file in production sites for faster debugging (Map Local Tool)
  • Tutorial - Report Quality Bugs with Video, Network logs, Console logs & Environment details

Category Popularity

0-100% (relative to Apache Cassandra and Requestly)
Databases
100 100%
0% 0
Developer Tools
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Testing
0 0%
100% 100

Questions & Answers

As answered by people managing Apache Cassandra and Requestly.

Who are some of the biggest customers of your product?

Requestly's answer:

  • Verizon
  • AT&T
  • Adobe
  • Salesforce
  • Telegraph
  • Intuit
  • Verizon

How would you describe the primary audience of your product?

Requestly's answer:

Front-end developers, QAs, PMs, Digital Marketers

What makes your product unique?

Requestly's answer:

Requestly is an open-source API development and testing tool that combines the capabilities of an API Client and HTTP Interceptor, making it a better alternative to Postman + Charles Proxy. It simplifies API mocking, request modification, and debugging with an intuitive no-code interface, enabling developers and QAs to test APIs efficiently.

User comments

Share your experience with using Apache Cassandra and Requestly. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Cassandra and Requestly

Apache Cassandra Reviews

Database Management Systems (DBMS) Comparison: SQL Server, MySQL, PostgreSQL, MongoDB, Oracle
Determine the type of data that your application will be handling. The options from the relational database list, like PostgreSQL or MySQL, are your top pick with structured data, while NoSQL options (MongoDB or Cassandra) are best used for unstructured or semi-structured data.
Source: blog.devart.com
20 Best Database Management Software and Tools of 2026
Apache Cassandra is a distributed database system designed for managing large volumes of structured data across multiple servers.
Source: infomineo.com
16 Top Big Data Analytics Tools You Should Know About
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
9 Best MongoDB alternatives in 2019
The Apache Cassandra is an ideal choice for you if you want scalability and high availability without affecting its performance. This MongoDB alternative tool offers support for replicating across multiple datacenters.
Source: www.guru99.com

Requestly Reviews

Comparing Charles Proxy, Fiddler, Wireshark, and Requestly
On the pricing front, Requestly strikes a balance between affordability and functionality. It is an open-source tool, offering freemium to individual developers and affordable pricing plans for team collaboration. We have also clearly differentiated how Requestly differs from Wireshark and other web debugging tools like Proxyman, Modheader, and HTTP ToolKit separately.
Source: dev.to

Social recommendations and mentions

Apache Cassandra might be a bit more popular than Requestly. We know about 45 links to it since March 2021 and only 35 links to Requestly. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Cassandra mentions (45)

  • Why Apache IoTDB Is Written in Java: A Decade of Engineering Trade-offs
    When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVMโ€”such as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data ecosystem, choosing Java was a natural decision. - Source: dev.to / 5 months ago
  • Why You Shouldnโ€™t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / over 1 year ago
  • Data integrity in Ably Pub/Sub
    All messages are persisted durably for two minutes, but Pub/Sub channels can be configured to persist messages for longer periods of time using the persisted messages feature. Persisted messages are additionally written to Cassandra. Multiple copies of the message are stored in a quorum of globally-distributed Cassandra nodes. - Source: dev.to / almost 2 years ago
  • Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More
    Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / about 2 years ago
  • Consistent Hashing: An Overview and Implementation in Golang
    Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / over 2 years ago
View more

Requestly mentions (35)

  • Why You Need a Local-First API Client (With Hands-On Example)
    If you want to try a local-first workflow, you can start using Requestly here: https://requestly.com. - Source: dev.to / 9 months ago
  • How to use Cursor to Generate API Testcases in Requestly
    Thatโ€™s where automation changes the game. By pairing Cursor, an AI-powered coding assistant, with Requestly's local-first API testing and mocking platform, you can offload the grunt work of writing tests to AI while keeping execution secure and reproducible on your own system. In this article, weโ€™ll walk through how to set up Cursor with Requestly, generate test cases automatically, and run them end-to-end so that... - Source: dev.to / 9 months ago
  • These 20 Awesome API Clients Will Change How You Work with APIs
    Requestly is a versatile browser extension and web client used to intercept, mock, and debug APIs in real-timeโ€”perfect for frontend developers. - Source: dev.to / about 1 year ago
  • Best Tools for GraphQL Development in 2025
    Requestly is a powerful tool for modifying GraphQL responses, intercepting requests, and debugging API interactions. It allows developers to tweak request bodies, capture GraphQL traffic, and share sessions for easier debugging and collaboration. - Source: dev.to / over 1 year ago
  • How Not to Use AI in Software Development
    Learn more at https://requestly.com/. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Apache Cassandra and Requestly, you can also consider the following products

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Proxyman.io - Proxyman is a high-performance macOS app, which enables developers to view HTTP/HTTPS requests from apps and domains.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Postman - The Collaboration Platform for API Development

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Hoppscotch - Open source API development ecosystem