Software Alternatives & Reviews

Datastax Enterprise VS Amazon Neptune

Compare Datastax Enterprise VS Amazon Neptune and see what are their differences

Datastax Enterprise logo Datastax Enterprise

DataStax Enterprise is the always-on, active everywhere, distributed hybrid cloud database built on Apache Cassandra™.

Amazon Neptune logo Amazon Neptune

Amazon Neptune is a fully managed graph database service that works with highly connected datasets. Learn about the benefits and popular use cases.
  • Datastax Enterprise Landing page
    Landing page //
    2023-08-26
  • Amazon Neptune Landing page
    Landing page //
    2023-04-04

Datastax Enterprise videos

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Amazon Neptune videos

AWS re:Invent 2019: Deep dive on Amazon Neptune (DAT361)

More videos:

  • Review - Fighting fraud with Amazon Neptune and KeyLines

Category Popularity

0-100% (relative to Datastax Enterprise and Amazon Neptune)
Crypto
100 100%
0% 0
Databases
8 8%
92% 92
NoSQL Databases
0 0%
100% 100
Developer Tools
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Amazon Neptune seems to be more popular. It has been mentiond 10 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.

Datastax Enterprise mentions (0)

We have not tracked any mentions of Datastax Enterprise yet. Tracking of Datastax Enterprise recommendations started around Mar 2021.

Amazon Neptune mentions (10)

  • GenAI-Powered Digital Threads - AI Security Under the Hood, Part II
    This technical example was built upon an AWS AI service suite to test its capabilities, and it was pretty impressive, with minimal learning curve for the AI enthusiast. This example leverages Neptune as the graph database, Bedrock’s Claude v3 for our GenAI model and LLM, along with out-of-the-box security notebooks, to populate the data. This coupled with excellent docs and some tinkering helped wire the example... - Source: dev.to / about 1 month ago
  • Choosing the Right AWS Database: A Guide for Modern Applications
    Graph databases are designed to store and process highly connected data, such as social networks, recommendation engines, and fraud detection systems. AWS offers a fully managed graph database service called Amazon Neptune that can handle graph data at scale. - Source: dev.to / 7 months ago
  • Anyone else find the lack of persistence frustrating?
    My understanding is that a shard is the full set of services that are needed to support at least one game server, and so it isn't a shard that crashes, it's (usually) a "dynamic" game server (DGS) ( which there's currently only one of per shard until they build out the ~~replication layer~~ (Atlas service? https://sc-server-meshing.info/), so it feels an awful lot like the whole shard crashed )... But the DGS... Source: 10 months ago
  • What is the best database to use in this usecase?
    I know an alternative to regular SQL relational and noSQL databases is graph databases like Neo4j and Amazon Neptune. I don't know if it's relevant to you but you might want to check out https://en.m.wikipedia.org/wiki/Neo4j or https://aws.amazon.com/neptune/. Source: 11 months ago
  • Graph Databases vs Relational Databases: What and why?
    First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language. - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing Datastax Enterprise and Amazon Neptune, you can also consider the following products

DataStax Constellation - Find out how DataStax Constellation, a cloud-native platform with smart services, is radically simplifying and accelerating application development while eliminating the complex overhead of database operations.

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

Amazon Managed Apache Cassandra Service - Overview of Amazon Managed Apache Cassandra Service-a scalable, highly available, and managed Apache Cassandra–compatible database service.

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

DynamoDB - Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models.

Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.