Software Alternatives, Accelerators & Startups
Register | Login

DataStax Constellation VS Amazon Neptune

Compare DataStax Constellation VS Amazon Neptune and see what are their differences

IsDown.app
Monitor all your cloud services with our status page aggregator. IT teams choose IsDown to monitor all their vendors and get alerts whenever an outage occurs. Integration with Datadog, PagerDuty, Slack, Microsoft Teams, and a lot more. 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

DataStax Constellation logo 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.

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 Constellation Landing page
    Landing page //
    2023-08-27
  • Amazon Neptune Landing page
    Landing page //
    2023-04-04

DataStax Constellation features and specs

  • Scalability
    DataStax Constellation offers excellent scalability due to its cloud-native architecture, allowing businesses to easily adjust resources based on their needs without worrying about hardware limitations.
  • Managed Service
    As a managed service, DataStax Constellation handles administrative tasks such as upgrades, patches, and backups, freeing up developer time for other tasks.
  • Compatibility with Apache Cassandra
    DataStax Constellation is compatible with Apache Cassandra, making it easy for organizations already using Cassandra to transition to or integrate with Constellation.
  • Multi-region Support
    The platform provides multi-region support, which enhances data redundancy and locality, ensuring better performance and disaster recovery capabilities.
  • Developer-Friendly
    DataStax Constellation includes developer-friendly features like a rich API, powerful query language (CQL), and integrations with popular tools and frameworks.

Possible disadvantages of DataStax Constellation

  • Cost
    As is typical with cloud-based solutions, costs can escalate with increased data usage and additional features, which might be a concern for small businesses or startups with limited budgets.
  • Learning Curve
    Organizations new to Apache Cassandra or cloud-native databases might face a learning curve, which could potentially slow down initial adoption and deployment.
  • Dependency on Internet Connectivity
    As a cloud-based service, DataStax Constellation relies heavily on stable internet connectivity, which can be a disadvantage in locations with unreliable or limited internet access.
  • Limited Customization
    Being a managed service, there might be limitations on customization compared to on-premises setups where organizations have complete control over their database configurations.

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.

DataStax Constellation videos

+ Add

DataStax Constellation - Bootcampers REACT | DataStax

Amazon Neptune videos

+ Add

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 Constellation and Amazon Neptune)

DataStax Constellation

Amazon Neptune

Crypto
100 100%
Crypto
0% 0
Databases
0 0%
Databases
100% 100
Art
100 100%
Art
0% 0
Graph Databases
0 0%
Graph Databases
100% 100

User comments

Share your experience with using DataStax Constellation and Amazon Neptune. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Amazon Neptune seems to be more popular. 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.

DataStax Constellation mentions (0)

We have not tracked any mentions of DataStax Constellation yet. Tracking of DataStax Constellation recommendations started around Mar 2021.

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 / about 1 month 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
View more

What are some alternatives?

When comparing DataStax Constellation and Amazon Neptune, you can also consider the following products

SimpleHash - SimpleHash allows web3 developers to query NFT data from a single API.

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

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

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

Nansen - Blockchain analytics platform to identify rare opportunities

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

Loading...