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Amazon Managed Apache Cassandra Service VS Amazon Neptune

Compare Amazon Managed Apache Cassandra Service VS Amazon Neptune and see what are their differences

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Amazon Managed Apache Cassandra Service logo Amazon Managed Apache Cassandra Service

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

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.
  • Amazon Managed Apache Cassandra Service Landing page
    Landing page //
    2022-02-02
  • Amazon Neptune Landing page
    Landing page //
    2023-04-04

Amazon Managed Apache Cassandra Service features and specs

No features have been listed yet.

Amazon Neptune features and specs

  • Fully Managed Service
    Amazon Neptune is a fully managed graph database service, which eliminates the need for database administration tasks such as hardware provisioning, patching, setup, configuration, backups, and scaling.
  • Supports Multiple Graph Models
    Neptune supports both property graph and RDF graph models, utilizing popular graph query languages like Gremlin and SPARQL, providing flexibility for various use cases.
  • High Performance and Scalability
    Designed for fast query execution and high throughput in complex graphs, Neptune can seamlessly scale to handle hundreds of billions of relationships and queries with low latency.
  • High Availability and Durability
    Amazon Neptune is designed for high availability with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones.
  • Integration with AWS Ecosystem
    As a part of AWS, Neptune integrates well with other AWS services such as AWS Identity and Access Management (IAM), AWS Lambda, and Amazon CloudWatch for enhanced functionality and security.

Possible disadvantages of Amazon Neptune

  • Complexity in Use Cases
    Neptune's graph database model is powerful but may be overkill for simpler, more traditional relational database use cases, requiring a learning curve for those unfamiliar with graph paradigms.
  • Cost
    Being a managed service with advanced features, Amazon Neptune can be expensive, and costs can escalate with large-scale usage, especially if not optimized properly.
  • AWS Dependency
    As a native AWS service, Neptune is dependent on the AWS ecosystem, which might be a limitation for organizations looking to maintain a cloud-agnostic strategy.
  • Limited Language Support
    Currently, Neptune primarily supports TinkerPop's Gremlin for property graphs and SPARQL for RDF graphs, which might limit users accustomed to other graph query languages.
  • Customization Constraints
    Although Neptune offers many built-in features, the managed nature of the service can limit deep, low-level customization that some complex graph use cases may require.

Amazon Managed Apache Cassandra Service 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 Amazon Managed Apache Cassandra Service and Amazon Neptune)
Cloud Computing
100 100%
0% 0
Databases
0 0%
100% 100
VPS
100 100%
0% 0
Graph Databases
0 0%
100% 100

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Social recommendations and mentions

Based on our record, Amazon Neptune should be more popular than Amazon Managed Apache Cassandra Service. It has been mentiond 11 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.

Amazon Managed Apache Cassandra Service mentions (2)

  • How to connect with Amazon Keyspaces using IntelliJ, PyCharm or DataGrip IDEs
    Amazon Keyspaces is a database service highly compatible with Apache Cassandra. It is a readily available service that can handle a high range of requests per second. Hence, Amazon Web Services (AWS) customers use Amazon Keyspaces (for Apache Cassandra) in order to modernize their Cassandra workloads. - Source: dev.to / over 2 years ago
  • Migrating to AWS
    Over time, we should have only dockers and lambda functions in our compute. While doing this, we should also discard the EC2 instances one by one and move onto Fargate. Drop the Kafka or other messaging services and move to Kinesis, EventBridge, SNS or SQS, as per the requirement. Migrate to cloud native databases like Aurora, DocumentDB, DynamoDB, and other purpose built databases like TimeStream, Keyspace,... - Source: dev.to / almost 4 years ago

Amazon Neptune mentions (11)

  • 6 retrieval augmented generation (RAG) techniques you should know
    The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / 9 days ago
  • 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 year 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 / over 1 year 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: almost 2 years 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: almost 2 years ago
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What are some alternatives?

When comparing Amazon Managed Apache Cassandra Service and Amazon Neptune, you can also consider the following products

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

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

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.

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

Serverspace.io - Serverspace is an international cloud provider, offering automated virtual infrastructure deployment. Linux or Windows-based services are available from any location on the globe in less than 1 minute.

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