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  1. Stackups
  2. Application & Data
  3. NoSQL Databases
  4. Cassandra As A Service
  5. DataStax Constellation vs Datastax Enterprise

DataStax Constellation vs Datastax Enterprise

OverviewComparisonAlternatives

Overview

DataStax Enterprise
DataStax Enterprise
Stacks48
Followers53
Votes0
DataStax Astra
DataStax Astra
Stacks35
Followers42
Votes0

DataStax Constellation vs Datastax Enterprise: What are the differences?

  1. Deployment Method: DataStax Constellation is a cloud-native DBaaS platform, providing effortless deployment and scaling in the cloud, whereas DataStax Enterprise is an on-premise database management solution that requires manual deployment and configuration on local servers.

  2. Pricing Model: DataStax Constellation follows a pay-as-you-go model, allowing users to pay for the resources they consume on a monthly basis, while DataStax Enterprise involves a one-time licensing fee for the software and additional costs for support and maintenance.

  3. Scalability: DataStax Constellation enables seamless horizontal scaling by automatically adding nodes to distribute the workload, whereas DataStax Enterprise requires manual intervention and configuration to scale the database horizontally.

  4. Maintenance and Updates: DataStax Constellation handles maintenance, upgrades, and patches automatically behind the scenes, ensuring the system's health and performance, whereas DataStax Enterprise demands manual effort to schedule and implement maintenance tasks, updates, and patches for the database.

  5. Managed Services: DataStax Constellation offers managed services such as backups, monitoring, and security features as part of its package, relieving users of the operational burdens, while DataStax Enterprise necessitates users to set up and manage these services separately or through third-party tools.

  6. Support: DataStax Constellation provides round-the-clock technical support and assistance for any issues or questions users encounter, offering a higher level of support compared to DataStax Enterprise, where support options may vary based on the chosen subscription tier.

In Summary, DataStax Constellation and DataStax Enterprise differ in deployment method, pricing model, scalability, maintenance and updates process, managed services, and level of support provided.

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Detailed Comparison

DataStax Enterprise
DataStax Enterprise
DataStax Astra
DataStax Astra

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.

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.

Hybrid; Lightning Fast; Distributed
cloud-native; cassandra; DBaaS
Statistics
Stacks
48
Stacks
35
Followers
53
Followers
42
Votes
0
Votes
0
Integrations
Kubernetes
Kubernetes
Apache Spark
Apache Spark
Kafka
Kafka
Cassandra
Cassandra
Apache Solr
Apache Solr
Google Cloud Platform
Google Cloud Platform
Amazon EC2
Amazon EC2
Microsoft Azure
Microsoft Azure

What are some alternatives to DataStax Enterprise, DataStax Astra?

Amazon Managed Apache Cassandra Service

Amazon Managed Apache Cassandra 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.

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