Data-First Approach to Modernization

Enterprises and organizations everywhere are being challenged by the demands for more interactions across channels, instant personalization, and more real-time data to drive better intelligence.

On the other hand, data is locked in legacy infrastructure and technology silos.

A data-first approach to modernization changes everything, from managing data as an asset, to modernizing and creating new applications.

Key Resources
Consolidate NoSQL Workloads

Consolidate NoSQL Workloads

You have different apps using NoSQL databases. Maybe it is a nationwide mobile curbside pickup app; or an app that authenticates tens of thousands of customers per second; or one that collects streams of sensor data to feed predictive analytics.

DataStax has created a multi-model database accessible via a developer-friendly API layer, enabling you to consolidate NoSQL workloads. This results in less operational complexity, more deployment options, and overall lower TCO.

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Migrating Workloads from RDBMS to Cassandra

Migrating Workloads from RDBMS to Cassandra

Certain workloads need the velocity and the always-on availability that only a NoSQL database like Cassandra can deliver. You don’t even need to migrate everything off your legacy relational databases; only offload some workloads to begin with.

Where do you start? A smart migration journey begins by understanding the normalized tables, relationships, and queries trapped in your relational databases. Understanding these assets becomes a starting point for planning out the microservices to build. Only then can the team plan out the actual migration execution that does not disrupt the business.

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Modernize Applications, or Build New Ones

Modernize Applications, or Build New Ones

Whether you’re building new apps or modernizing existing applications into microservices, success will come only if your data platform is up to date. Many microservices still rely on relational databases as a point of integration and to enforce consistency, resulting in compromised application performance and no agility. Start with data to guarantee performance and agility.

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No Ops Database as a Service

Performance, high availability, and linear scalability are all critical requirements when building microservice-oriented applications. But it must also be free of operational headaches and developer-friendly.

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Benefits of Data Modernization

High Performance

Fast modern applications result in delighted customers.

Business Agility

Small teams release innovative features fast and frequently

Lower TCO

No more exorbitant RDBMS license fees and less operational complexity

Macquarie Bank

The co-location of data and technology with Cassandra and Solr for search and Cassandra with Spark for analytics serves as the main benefit of DSE for Macquarie Bank. The results in the real-time nodes having access to data instantly and not requiring time-consuming or costly ETL processes to move data between systems because all data replicates in the cluster.

Rajay Rai
Digital Architect at Macquarie Bank


One of the things I don't worry about at night anymore is a 10x growth in the catalog. We can easily handle that. It's just not a problem technically or for the business. If they want to grow the catalog, we can do it. And we can do it fairly inexpensively. I don't think that's necessarily the case with proprietary relational technologies.

Peter Connolly
Senior Architect, Macy's


We wanted to implement a distributed database that would fit with our microservices-based application strategy and that would be able to handle the availability and scalability needs of the applications too. Cassandra matched this model perfectly, and the production support for DataStax Enterprise made a big difference. We considered other approaches based on SQL Server, but the distributed and always-on nature of DataStax Enterprise was a far better fit. The support from DataStax would also be essential as we moved into production—the company was the only option that would meet our needs around service-level commitments.

Rune Birkemose Jakobsen
Senior Development Manager at MobilePay

Penn Mutual

We evaluated other NoSQL products, but the fact that large-scale organizations were using DataStax Enterprise successfully gave us the confidence that DataStax could handle our performance and scalability requirements.

Mark Dash
Assistant VP of Information Technology at Penn Mutual

ACI Worldwide

The DataStax Enterprise environment is a horizontally scalable data environment; once the demands on that environment increase, we add more nodes to the cluster to expand the capabilities without any downtime.

Ken Chenis
Chief Architect at ACI Worldwide


Our service for customers is based on providing real-time analytics and alerts based on global and multilingual data. That could be alerting customers to a disaster near to one of their sites, demonstrating potential security risks, or for competitor analysis. What powers this is our ability to make connections in our data, and for that we rely on DSE Graph.

Dirk Kolb
CEO at Traversals

More Resources

What is Cloud Native?

And what does it have to do with data? Developers worldwide are building cloud-native applications using microservices, containers, orchestration and automation.

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A Case for Databases on Kubernetes

Kubernetes is everywhere. Transactional apps, video streaming services and machine learning workloads are finding a home on this ever-growing platform. But what about databases?

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Free DataStax Enterprise Evaluation

For those wanting to tap into the most powerful hybrid NoSQL database on the planet.

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Free Consultation for DataStax Luna

For those running open source Cassandra but wanting the peace of mind that comes with enterprise support.

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Multi-cloud DBaaS built on Apache Cassandra®

Multi-cloud DBaaS built on Apache Cassandra®