Software Alternatives, Accelerators & Startups

graphql.js VS Apache Cassandra

Compare graphql.js VS Apache Cassandra and see what are their differences

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.

graphql.js logo graphql.js

A reference implementation of GraphQL for JavaScript - graphql/graphql-js

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • graphql.js Landing page
    Landing page //
    2023-08-27
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

graphql.js features and specs

  • Strongly Typed
    GraphQL.js allows for strongly typed schemas, making it easier to perform validation and introspection on your data, ensuring that queries conform to a specific structure before execution.
  • Efficient Data Fetching
    GraphQL.js enables clients to request exactly the data they need which can reduce over-fetching and under-fetching compared to REST APIs.
  • Rich Developer Tooling
    The introspection capabilities in GraphQL.js allow for rich tooling, enabling better development workflows including robust IDE support and tools like GraphiQL.
  • Evolving APIs
    GraphQL.js facilitates evolving APIs without the need for versioning, providing backward compatibility by introducing non-breaking changes.
  • Community Support
    GraphQL.js has a large and active community, providing numerous resources, plugins, and tools that support smooth development processes.

Possible disadvantages of graphql.js

  • Complexity
    Implementing GraphQL.js can add complexity to projects as developers may need to learn new concepts such as schemas, resolvers, and query languages.
  • Overhead
    The flexibility of GraphQL.js can introduce performance overhead, as the server may need to parse and execute more complex and dynamic queries.
  • Cache Invalidation
    Caching strategies for GraphQL.js can be more complex compared to REST, as caching needs to account for the structure and specifics of the queries requested.
  • Over-fetching Risks
    While GraphQL.js mitigates data over-fetching, it can also expose sensitive data if developers are not meticulous in specifying and controlling the schema and access permissions.
  • Debugging Complexity
    Debugging runtime errors in GraphQL.js can sometimes be more difficult, especially with deeply nested queries and complex resolvers.

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.

graphql.js videos

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

Add video

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to graphql.js and Apache Cassandra)
Project Management
100 100%
0% 0
Databases
0 0%
100% 100
Development
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

Share your experience with using graphql.js and Apache Cassandra. 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 graphql.js and Apache Cassandra

graphql.js Reviews

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

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.
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

Social recommendations and mentions

Based on our record, Apache Cassandra should be more popular than graphql.js. It has been mentiond 44 times since March 2021. 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.

graphql.js mentions (8)

  • Diving into Open-Source Development
    To begin, I'm going to start with GraphQL. This repo is a JS-specific implementation for GraphQL, for which projects written in JS/TS can utilize to build an API for their web app. The reason why I chose this project is because I've always been intrigued by how GraphQl challenges the standard way of building an API, a.k.a REST APIs. I have very little knowledge about this project since I've never used it before at... - Source: dev.to / over 1 year ago
  • How to define schema once and have server code and client code typed? [Typescript]
    When I asked this in StackOverflow over a year ago I reached the solution of using graphql + graphql-zeus. Source: almost 2 years ago
  • Apollo federated graph is not presenting its schema to graphiql with fields sorted lexicographically
    GraphiQL (and many other tools) relies on introspection query which AFAIK is not guaranteed to have any specific order (and many libs don't support it). Apollo Server is built on top of graphql-js and it relies on it for this functionality. Source: over 2 years ago
  • How (Not) To Build Your Own GraphQL Server
    Defining your schema and the resolvers simultaneously led to some issues for developers, as it was hard to decouple the schema from the (business) logic in your resolvers. The SDL-first approach introduced this separation of concerns by defining the complete schema before connecting them to the resolvers and making this schema executable. A version of the SDL-first approach was introduced together with GraphQL... - Source: dev.to / over 3 years ago
  • three ways to deploy a serverless graphQL API
    Graphql-yoga is built on other packages that provide functionality required for building a GraphQL server such as web server frameworks like express and apollo-server, GraphQL subscriptions with graphql-subscriptions and subscriptions-transport-ws, GraphQL engine & schema helpers including graphql.js and graphql-tools, and an interactive GraphQL IDE with graphql-playground. - Source: dev.to / over 3 years ago
View more

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 / 24 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 / 11 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

What are some alternatives?

When comparing graphql.js and Apache Cassandra, you can also consider the following products

JsonAPI - Application and Data, Languages & Frameworks, and Query Languages

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

Apollo - Apollo is a full project management and contact tracking application.

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

Graphene - Query Languages

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