Software Alternatives & Reviews

Dgraph VS Apache Cassandra

Compare Dgraph VS Apache Cassandra and see what are their differences

Dgraph logo Dgraph

A fast, distributed graph database with ACID transactions.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • Dgraph Landing page
    Landing page //
    2023-05-02
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

Dgraph videos

Intro to Slash GraphQL from Dgraph

More videos:

  • Review - Getting started with Dgraph #5: Tweet graph, string indices, and keyword-based searching
  • Review - Graph Database: Intro to Dgraph's Query Language (2017)

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to Dgraph and Apache Cassandra)
Graph Databases
48 48%
52% 52
Databases
13 13%
87% 87
NoSQL Databases
10 10%
90% 90
Relational Databases
0 0%
100% 100

User comments

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Reviews

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

Dgraph Reviews

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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 Dgraph. It has been mentiond 40 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.

Dgraph mentions (20)

  • How to choose the right type of database
    Dgraph: A distributed and scalable graph database known for high performance. It's a good fit for large-scale graph processing, offering a GraphQL-like query language and gRPC API support. - Source: dev.to / 2 months ago
  • Getting Started with Serverless Edge - Exploring the Options
    DGraph – A distributed GraphQL database with a graph backend. - Source: dev.to / over 1 year ago
  • Fluree DB - A datomic like database that I just discovered
    How does it compare to, say grakn (renamed https://vaticle.com/, I think?), or draph (https://dgraph.io/), or Ontotext's GraphDB (https://www.ontotext.com/products/graphdb/), or Datomic? Source: over 1 year ago
  • GKE with Consul Service Mesh
    Consul Connect service mesh has a higher memory footprint, so on a small cluster with e5-medium nodes (2 vCPUs, 4 GB memory), you will only be able to support a maximum of 6 side-car proxies. In order to get an application like Dgraph working, which will have 6 nodes (3 Dgraph Alpha pods and 3 Dgraph Zero pods) for high availability along with at least one client, a larger footprint with more robust Kubernetes... - Source: dev.to / over 1 year ago
  • Show HN: We have built a benchmark platform for graph databases
    Looking forward comparison with Dgraph ( https://dgraph.io/ ) — I mentioned Dgraph in other, older, posts. I'm not a shill, just a Dgraph user who's looking for alternative. - Source: Hacker News / over 1 year ago
View more

Apache Cassandra mentions (40)

  • 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 / 23 days ago
  • How to choose the right type of database
    HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 2 months ago
  • Asynchronous driver written in Rust for ScyllaDB, Cassandra and AWS Keyspaces.
    Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 7 months ago
  • How to Choose the Right Document-Oriented NoSQL Database for Your Application
    NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 8 months ago
  • NoSQL Databases vs Graph Databases: Which one should you use?
    To use NoSQL databases with code, you first need to choose a NoSQL database that suits your requirements. Some popular examples of NoSQL databases are MongoDB, Cassandra, Redis, and DynamoDB. Each of these databases has its own set of APIs and drivers that can be used to interact with them. Here, I'll use MongoDB as an example and explain how to perform CRUD operations using Python and its PyMongo package. - Source: dev.to / about 1 year ago
View more

What are some alternatives?

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

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

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

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

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

Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.