Sponsor: DataStax

A Better Way to Select A DBaaS for the Future

This 15 minute video addresses the challenges of selecting a Database as a Service, including scalability, speed, reliability and flexibility. Simply putting classic relational databases in the cloud does not make their internal software scale. Learn how to future proof a real-time data strategy for applications.

  • Cloud vendor databases are not hybrid or multi-cloud friendly, but leveraging different cloud strengths increases flexibility.
  • Real-time applications require the ability to constantly absorb ever-increasing data workloads and pipelines.
  • Low latency for fast reads and writes at SCALE will be table stakes.
  • Flexibility to support new types of applications, business models, data types and architectures of evolving applications are necessary to future proofing application growth.

The more you look at these areas in detail, the more it will reduce the field of choices in surprising ways.

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The State of the Data Race

The data execution gap is real. We surveyed more than 500 CIOs and technology heavy hitters to uncover key attributes of “data leaders”—companies that excel at using data to deliver value to customers and derive at least 20% of revenue from data and analytics. Read the report to learn:

  • What frontrunners do to improve the customer experience and boost revenue with data.
  • The important role that open source technologies play in advancing organizations’ success with data.
  • Key steps that organizations take to move toward the level of the highly successful data strategies used by leaders.

The State of the Data Race 2022

In an independent survey of 500+ CIOs and technology leaders, it revealed that leveraging real-time data pays off in two important ways: higher revenue growth and increased developer productivity.

Some highlights from the State of the Data Race research report:

  • 71% of respondents agree that they can tie their revenue growth directly to real-time data.
  • 78% of respondents agree that real-time data is a “must-have,” not a “nice to have”.
  • 66% of real-time data focused organizations agree that developer productivity has improved.
  • And more insights!

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IDC Brief: Factors in Choosing DataBase Technologies

Combining Scalable Database Technologies to Achieve Operational Flexibility and Analytic Power, an IDC Analyst Brief.

This IDC paper discusses the different factors enterprises must consider to choose the right database technologies in the face of the confusing and daunting demands of digital transformation.

Enterprises require technologies that carefully address the workload at hand, which can be operational, streaming, or analytical. They must also consider deployment requirements — on premises, in the cloud, or hybrid, not to mention the organization’s capacity to handle the operational demands and technical requirements of running workloads in the cloud.

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Choosing the Best Data Stack: DataStax Astra DB vs. Amazon DynamoDB

DataStax’s Astra DB is the serverless, fully managed, and cloud-agnostic DBaaS built on Apache Cassandra™ that provides developer freedom through APIs, unparalleled price, and scalable performance. Read this ebook to discover the advantages of Astra DB over DynamoDB:

  • Rich API flexibility means there’s no need for developers to learn any new complex, proprietary APIs for application development.
  • Better price/ performance (throughput and latency) at scale for lower TCO.
  • Infrastructure-agnostic data layer provides flexibility to run on multiple clouds, on-prem data centers, or both in a hybrid fashion.
  • Powered by Astra Streaming, a multi-cloud streaming as a service built on Apache Pulsar, to support real-time data pipelines.
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Don’t Let Your Shoppers Drop: 5 Rules for Today’s Ecommerce

The definition of ecommerce has dramatically expanded to include non-retail environments, with all smart businesses tailoring and marketing their products and services at the individual customer level. Meeting the increasing demands of customer-facing line-of-business applications greatly depends on the databases supporting them. This paper, written with a blend of information for the line-of-business manager and the IT professional, discusses the five key rules of great ecommerce and the changes they require in your database infrastructure.
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DataStax Enterprise Reference Architecture

This white paper outlines reference architectures for deploying Apache Cassandra™ and DataStax Enterprise (DSE) within an organization and establishes a starting point for users contemplating hardware choices to host DataStax solutions. This paper also provides guidance for system architects and system administrators during the planning stages of development, test and production environments, whether in-house or at a private or public data center. It explores common scenarios and configuration options for various deployments.
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DataStax Enterprise – Powered by Apache Cassandra™

DataStax Enterprise (DSE), built on Apache Cassandra™, delivers what modern businesses need to compete in today’s high-speed, always-on data economy. Within-memory computing capabilities, enterprise-level security, fast and powerful built-in analytics and enterprise search, visual management, and expert support, DataStax Enterprise is the best database choice for online applications that require fast performance with no downtime.
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Case Study: Netflix

With its streaming service rapidly gaining popularity with its members, Netflix's choice of Cassandra is helping the company meet heavy demand for highly available data.
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