Company’s high-performance data warehouse runs on-premises, in the cloud, and at the network edge to reduce costs and maximize deployment options
Yellowbrick Data, the leader in Distributed Data Cloud architecture for data warehousing, announced the availability of the latest release of its cloud data warehouse. Yellowbrick’s cloud-native elastic data warehouse scales with growing organizational data needs, runs both on cloud and on-premises and has a simple pricing model with predictable costs.
Top Machine Learning Insights: LivePerson Collaborates with UCSC to Build the Future of Natural…
The acceleration of cloud adoption among large data-driven organizations implies that global enterprises will soon outgrow single cloud data warehouse solutions, heralding the opportunity of a distributed data cloud.
“In 2022, data and analytics (D&A) leaders find themselves at a strategic inflection point. Cloud adoption, measured as a percentage of revenue in the database management system (DBMS) market, is poised to exceed 50% of revenue by the end of 2021, which is an increase from less than 7% in 2016. The rate of cloud adoption continues to accelerate, with more than 90% of the year-over-year revenue growth in the market in 2020 attributable to the cloud.”1
Browse The Complete News About Aithority : OPEXEngine Launches Breakthrough Technology R&D Benchmarking Solution
Yellowbrick’s data warehouse, with its distributed data cloud, continues to be attractive to large enterprises and partners for its simplicity, performance, and ability to scale on-demand, seamlessly.
The latest iteration of Yellowbrick’s Data Warehouse Platform:
- Can be deployed on premises or in AWS, with Azure and Google Cloud support in Q3.
- Runs entirely in the customer’s own cloud account – eliminating security and compliance challenges. This model builds on customers’ existing commercial cloud commitments – maximizing infrastructure savings.
- Delivers true separation of compute and storage, allowing for elastic scaling on demand.
- Integrates with data lakes using Parquet as the data interchange format.
- Is consumable on-demand or through a fixed capacity subscription.
- Features a Unified Control Plane powered by SQL, supporting provisioning, managing, monitoring, and cost-control across any topology.
“During the transition to cloud, companies find themselves managing a complex set of incompatible data management and analytics solutions spanning the public cloud and their on-premises data centers,” said Mark Cusack, Chief Technology Officer at Yellowbrick, “Yellowbrick’s modern, elastic data warehouse helps organizations remove complexity by providing the same performance, functionality, and unified user experience in their own data center, in public clouds, and in a hybrid combination of both.”
Read More About Aithority News : RapidMiner Releases Next-Gen Cloud Platform to Accelerate Pace of Change in Enterprise AI
[To share your insights with us, please write to sghosh@martechseries.com]
Comments are closed.