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  1. Stackups
  2. Application & Data
  3. NoSQL Databases
  4. Cassandra As A Service
  5. Amazon Managed Apache Cassandra Service vs DataStax Constellation

Amazon Managed Apache Cassandra Service vs DataStax Constellation

OverviewComparisonAlternatives

Overview

DataStax Astra
DataStax Astra
Stacks35
Followers42
Votes0
Amazon Managed Apache Cassandra Service
Amazon Managed Apache Cassandra Service
Stacks44
Followers51
Votes0

Amazon Managed Apache Cassandra Service vs DataStax Constellation: What are the differences?

What is Amazon Managed Apache Cassandra Service? A scalable, highly available, and managed Apache Cassandra–compatible database service. It is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Managed Cassandra Service, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you use today. You don’t have to provision, patch, or manage servers, and you don’t have to install, maintain, or operate software. It is serverless, so you pay for only the resources you use and the service automatically scales tables up and down in response to application traffic. You can build applications that serve thousands of requests per second with virtually unlimited throughput and storage.

What is DataStax Constellation? Cassandra as a Service on AWS/GCP. It is a cloud platform that delivers a number of services designed to make building modern database applications in the cloud quick, simple, and cost effective. The first two services in Constellation are DataStax Apache Cassandra as a Service and DataStax Insights.

Amazon Managed Apache Cassandra Service and DataStax Constellation can be primarily classified as "Cassandra as a Service" tools.

Some of the features offered by Amazon Managed Apache Cassandra Service are:

  • Apache Cassandra-compatible
  • No servers to manage
  • Performance at scale

On the other hand, DataStax Constellation provides the following key features:

  • Simplify and accelerate data-driven application development while eliminating the complex overhead of database operations with smart data management services
  • Streamline Apache Cassandra™ database management with a single, integrated web console that provides a seamless user experience—from learning to development to production
  • Get the confidence and assurance you need to successfully deploy your Cassandra database in production with 24x7x365 support backed by a 99.99% uptime SLA

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Detailed Comparison

DataStax Astra
DataStax Astra
Amazon Managed Apache Cassandra Service
Amazon Managed Apache Cassandra Service

DataStax Astra simplifies Cassandra application development. It reduces deployment time from weeks to minutes, removing the biggest obstacle to using Cassandra, which is behind many of the most heavily used applications in the world.

It is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Managed Cassandra Service, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you use today. You don’t have to provision, patch, or manage servers, and you don’t have to install, maintain, or operate software. It is serverless, so you pay for only the resources you use and the service automatically scales tables up and down in response to application traffic. You can build applications that serve thousands of requests per second with virtually unlimited throughput and storage.

cloud-native; cassandra; DBaaS
Apache Cassandra-compatible; No servers to manage; Performance at scale; Highly available and secure
Statistics
Stacks
35
Stacks
44
Followers
42
Followers
51
Votes
0
Votes
0
Integrations
Google Cloud Platform
Google Cloud Platform
Amazon EC2
Amazon EC2
Microsoft Azure
Microsoft Azure
Cassandra
Cassandra

What are some alternatives to DataStax Astra, Amazon Managed Apache Cassandra Service?

DataStax Enterprise

DataStax Enterprise

Scale-out NoSQL for any workload Built on Apache Cassandra™, DataStax Enterprise adds NoSQL workloads including search, graph, and analytics, with operational reliability hardened by the largest internet apps and the Fortune 100.

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