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DataStax Luna subscribers enjoy all the benefits of open source software plus peace of mind from direct access to engineers, and C* committers who have authored a majority of the Cassandra code and supported some of the largest and most mission-critical Cassandra deployments for the past 10 years.
Pricing Plans
Luna Essentials
Coverage for essential applications
- Up to 5 tickets per year
- Unlimited clusters
- 24x5 coverage
- 1 hour critical response time
Limited time only: 3 days of Health Check consulting
Luna Professional
For teams building production ready applications
Recommended
Luna Enterprise
An enterprise partnership for open source success
Compare DataStax Luna Plans
LUNA ESSENTIALSBasic Support offering | LUNA PROFESSIONALAlways-On DB support | LUNA ENTERPRISEProduction Support for Critical Clusters | |
|---|---|---|---|
C* Versions Supported | 3.0, 3.11, or 4.0 | 3.0, 3.11, or 4.0 | 3.0, 3.11, or 4.0 |
SLA's | 24 x 5 | 24 x 7 | 24 x 7 |
Normal | Up to 24 hours | Up to 24 hours | Up to 24 hours |
High | Up to 8 hours | Up to 4 hours | Up to 4 hours |
Critical | Up to 1 hour | Up to 1 hour | Up to 15 minutes |
Price | No node limits. | No node limits. | No node limits. |
Tickets Limit | 5 tickets per year | Unlimited | Unlimited |
K8ssandra Support | No | Yes | Yes |
Access to Luna Portal |  | | |
Need Emergency Cassandra Support?
Free Consultationno credit card required
We have a large number of Cassandra nodes running a variety of applications critical to our business. Some are DataStax and others are open source. We welcome DataStax support and expertise across all our Cassandra deployments and are excited about today’s new service.Rune Birkemose Jakobsen
We had to reduce the volume of data stored and improve our efficiency as part of our upgrade approach. With help from DataStax, we went from around 60 percent capacity on our messaging cluster to just under 30 percent capacity. That is a huge efficiency gain that we were able to deliver.Matthew Hirst
Still Have Questions?
Luna is a subscription to the Apache Cassandra expertise at DataStax. It allows subscribers to enjoy all the benefits of open source software, with the peace of mind from direct access to the team that has authored the majority of the Cassandra code and backed some of the largest deployments in the world.
DataStax Luna subscribers can develop and deploy applications with confidence. Luna subscribers can get help with general-purpose and technical questions for their open-source Cassandra deployments, and if an issue is encountered, DataStax is there to help.
Yes. Custom plans and expert Open Source Consulting are available for unique or large scale deployments. Contact us directly at luna@datastax.com for more details.
No. Luna can only be used with clusters that run unmodified Apache Cassandra.
Yes, enterprises can transition between Luna packages. Contact us directly at luna@datastax.com for more details or request an upgrade through the Luna console settings. The Luna console is a custom themed portal for issue management, team management and subscription management.
Yes. Luna covers Apache Cassandra running with any deployment model (e.g. on-premises, cloud, hybrid etc.).
A cluster is any number of Apache Cassandra nodes connected to each other.
You can sign up and get started with the Free Tier on the DataStax website. For the other tiers click the button above, or contact us directly at luna@datastax.com.
Services are provided by the Open Source Consulting team, email osc@datastax.com for more details.
No, DataStax Enterprise comes with support. Current subscribers can file tickets at support.datastax.com.
No, DDAC users will need to migrate to OSS for Luna support.
Luna provides assistance with resolving issues and following best practices with clusters. Services provide help through the full application life cycle, with a deeper integration in your team working together on implementation.
Serverless Cassandra Improves TCO by 76%
GigaOm reports a TCO savings of 76%, over 3 years when using serverless Cassandra over self-managed Cassandra.
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