Cost-Saving Cassandra: Severless Vs Self-Managed
NoSQL databases store data differently than relational databases and come in several different “types” based on their data model. Because of the massive demand for data at almost all companies, NoSQL databases have seen robust growth in the past several years, and some estimates predict that the global NoSQL market will grow as much as 30% through 2025.
But the unexposed costs of NoSQL database ownership could create an unsustainable burden for many organizations. To help IT decision-makers understand the problem, GigaOm Analysts William McKnight and Jake Dolezal have published a new report,
Cassandra Total Cost of Ownership Study, which examines the full costs and true value of the popular Cassandra NoSQL database self-managed on Google Cloud and the fully-managed DataStax Astra serverless Cassandra offering.
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1. Summary
The fundamental underpinning of an organization is its transactions. It must do them well, with integrity and performance. Not only has transaction volume soared of late, but the level of granularity in the transaction details has also reached new heights. Fast transactions greatly improve the efficiency of a high-volume business. Performance is incredibly important.
There are a variety of databases available to the transactional application. Ideally, any database would have the required capabilities; however, depending on the application’s scale and the chosen cloud, some database solutions can be prone to delays. Recent trends in information management see organizations shifting their focus to cloud-based solutions. In the past, the only clear choice for most organizations has been on-premises data using on-premises hardware. However, costs of scale are chipping away the notion that this remains the best approach for some, in not all, of a company’s transactional n
Begins: Wednesday, Mar 24, 2021 12:00 PM CDT
This free 1-hour webinar brings GigaOm analyst William McKnight and special guest, Cloudera’s Bill Zhang, Director of Data Warehouse Product Management to discuss the intriguing results from an in-depth Analytic Field Test derived from the industry-standard TPC™-DS benchmark to compare leading cloud data warehouse offerings: Amazon Redshift, Azure Synapse, Snowflake, Google BigQuery and Cloudera Data Warehouse.
Data-driven organizations rely on analytic databases to load, store, and analyze volumes of data at high-speed to derive timely insights. Data volumes within modern organization’s information ecosystems are rapidly expanding placing significant demands on legacy architectures. Today, to fully harness their data to gain a competitive advantage, businesses need modern, scalable architectures and high levels of performance and reliability to provide timely analytical insights. Companies are attracted to fully-