Mainframes and legacy databases such as an RDBMS weren't built for the cloud, so it's time for your database strategy to evolve and support your next-generation cloud initiatives. DataStax not only provides a 21st century database that's purpose-built for the cloud, it also makes the move to the cloud a cost-savings event.
- DataStax database platforms contain the modern functionality required to help you avoid the frustrating process of trying to fit an RDBMS square peg through the modern cloud database round hole.
- Offloading mainframe data-related tasks to DataStax in the cloud makes it easy to take advantage of modern database innovations and architectures, and save money in the process.
- Don't be slowed down with inadequate functionality. Experience faster application time to market with a cloud database built on Cassandra, giving you everything needed to transform your business with cloud applications that easily scale and never go down.
With competition getting more intense every day, empowering your workforce, delivering new services, and optimizing digital operations will help you reimagine application development. But doing so requires connecting large amounts of data from multiple environments, analyzing it in real time, and getting the results back into the hands of decision-makers.
- No database on the planet can collect and process large amounts of data faster than Cassandra and DataStax, a fact proven time and again in industry benchmarks.
- Integrated analytics with Apache Spark lets you quickly analyze transactional data flowing through your database and make decisions in record time.
- Manage and store data at scale, making it accessible in real time so it can be analyzed, cross-correlated, and used to make critical data-driven decisions.
To stay ahead of the competition, getting inside your customer’s head to know what they are thinking is critical. But doing so requires connecting large amounts of data from everywhere, analyzing it in real time, and getting the results back into the hands of decision-makers!
- No database on the planet can collect and process large amounts of data faster than Cassandra and DataStax, a fact proven time and again in industry benchmarks.
- Integrated analytics with Apache Spark lets you quickly analyze transactional data flowing through your database and make decisions in record time.
- Enterprise search functionality makes analyzing all types of customer data (tabular, full-text, geospatial, etc.) fast and easy.
Google Cloud Platform and DataStax News!
Google Cloud Next '19, Google Cloud Platform's biggest event of the year, kicked off with some awesome news for the open source community, and DataStax Enterprise was front and center. DataStax has been selected as one of Google Cloud’s first “Database as a Service” (DBaaS) offerings as part of their OSS Managed Partner Services Initiative. What is it? And what does it mean for developers looking to accelerate their hybrid and multi-cloud deployments? Listen to this podcast to find out more!
Migrating 500 Nodes from Rackspace to Google Cloud with Zero Downtime
METRONOM, a multinational B2B Supermarket, migrated round 80 clusters with over 500 nodes from Rackspace in the UK to Google Cloud in Belgium, saving money and surviving Brexit. This is the story of how we managed this with zero production downtime, the problems and solutions we encountered on the way. An example of using Cassandra DCs to migrate data across geographical boundaries.
Why Your Enterprise Needs a Cloud Strategy
David Waugh, SVP of Market Development at DataStax talks about Hybrid-Cloud Strategy and uncovers the truth about hybrid-cloud deployments and hybrid databases — aren’t they synonymous? Find out in this podcast!
