Software Alternatives, Accelerators & Startups
Register | Login

Apache Cassandra VS JsonAPI

Compare Apache Cassandra VS JsonAPI and see what are their differences

Setuply
Setuply: Transform Clients into Brand Advocates. An AI-powered, purpose-built platform for client onboarding and lifecycle management, helping B2B teams accelerate revenue recognition, boost retention, and scale operations with confidence. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Apache Cassandra logo Apache Cassandra

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

JsonAPI logo JsonAPI

Application and Data, Languages & Frameworks, and Query Languages
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • JsonAPI Landing page
    Landing page //
    2022-11-21

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.

JsonAPI features and specs

  • Standardization
    JSON:API provides a standardized format for building APIs, which promotes consistency and interoperability between different APIs.
  • Efficiency
    It supports features like sparse fieldsets, compound documents, and included relationships which help in reducing the amount of data transferred and improving response times.
  • Decoupling
    JSON:API encourages a clear separation between client and server, allowing them to evolve independently as long as they adhere to the specification.
  • Error Handling
    It has a well-defined error format that makes it easier for clients to understand what went wrong and how to fix it.
  • Community and Tooling
    A growing community and increasing tooling support make it easier to implement JSON:API in various server-side and client-side technologies.

Possible disadvantages of JsonAPI

  • Complexity
    The specification can be complex and may introduce a learning curve for developers who are new to it or used to simpler REST approaches.
  • Overhead
    Strict adherence to the JSON:API specification can sometimes introduce additional overhead in terms of implementation effort, especially for small projects.
  • Flexibility
    While the standardization is beneficial, it can reduce flexibility in scenarios where a more customized or optimized solution is needed.
  • Adoption
    Although growing, JSON:API is not as widely adopted as other conventions like simple REST, and thus some developers and projects might resist switching to it.
  • Resource Intensive
    Some features of JSON:API, like relationship links and included resources, can become resource-intensive for the server if not implemented carefully.

Apache Cassandra videos

+ Add

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

JsonAPI videos

No JsonAPI videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Apache Cassandra and JsonAPI)

Apache Cassandra

JsonAPI

Databases
100 100%
Databases
0% 0
Development
0 0%
Development
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
API Tools
0 0%
API Tools
100% 100

User comments

Share your experience with using Apache Cassandra and JsonAPI. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Apache Cassandra Reviews

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.
Source: www.analytixlabs.co.in
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

JsonAPI Reviews

We have no reviews of JsonAPI yet.
Be the first one to post

Social recommendations and mentions

JsonAPI might be a bit more popular than Apache Cassandra. We know about 49 links to it since March 2021 and only 44 links to Apache Cassandra. 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 (44)

  • Why You Shouldn’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 / 13 days 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 / 6 months 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 / 10 months 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 / about 1 year ago
  • Understanding SQL vs. NoSQL Databases: A Beginner's Guide
    On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / about 1 year ago
View more

JsonAPI mentions (49)

  • OSF API: The Complete Guide
    Built on JSON API standards, the OSF API is intuitive for anyone familiar with REST conventions. Once you learn its core patterns, you can quickly expand into project creation, user collaboration, and more—without constantly referencing documentation. The official OSF API docs provide everything needed to get started. - Source: dev.to / 15 days ago
  • Common Mistakes in RESTful API Design
    Following established patterns reduces the learning curve for your API. Adopt conventions from JSON:API or Microsoft API Guidelines to provide consistent experiences. - Source: dev.to / about 1 month ago
  • Starting the Console front-end for Rainbow Platform
    I’ve used both GraphQL and REST in the past. From json:api to Relay, each approach for building APIs has its pros and cons. However, a constant challenge is choosing between code-first and schema-first approaches. - Source: dev.to / 7 months ago
  • REST API: Best practices and design
    There is a group of people who set out to standardize JSON responses into a single response style, either for returning single or multiple resources. You can take their style as a reference when designing their API to ensure uniformity of responses. - Source: dev.to / 12 months ago
  • Path To A Clean(er) React Architecture - Domain Entities & DTOs
    The server seems to be using the popular JSON:API standard which is a great way to build APIs. But should we really use these data structures in the frontend? - Source: dev.to / 12 months ago
View more

What are some alternatives?

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

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

ReqRes - A hosted REST-API ready to respond to your AJAX requests.

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

JSON Placeholder - JSON Placeholder is a modern platform that provides you online REST API, which you can instantly use whenever you need any fake data.

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

OData - OData, short for Open Data Protocol, is an open protocol to allow the creation and consumption of queryable and interoperable RESTful APIs in a simple and standard way.

Loading...