Hybrid Becomes New Data Battleground
Data produced and stored by businesses continues to snowball. Statista projects that globally, we will generate more than 180 zettabytes of data in 2025 — a 280% increase from 64.2 zettabytes in 2020. This will require businesses to employ innovative data management strategies to leverage data effectively to achieve their goals, making hybrid data management a new battleground.
The latest company to enter the fray is Cloudera. It recently announced new hybrid data capabilities that give users more flexibility when moving information between cloud and on-premise environments. Companies can now move data, metadata, workloads and applications across different systems to optimize performance and keep costs down.
The new Cloudera capabilities offer real-world advantages. Data teams can use portable data services for data analytics and efficient movement of data applications. Secure data replication allows data replication between different Cloudera deployments. Universal data distribution gives companies control of their data flow, from origination through all points of consumption on-premises and in the cloud.
"As more organizations adopt modern data architectures, the ability to harness both on-premise and cloud-based data quickly is critical," Remus Lim, vice president for Asia Pacific and Japan, Cloudera, said. "It is crucial to be able to move data between applications and workloads efficiently and securely across hybrid infrastructures, and will be key for future success," he added.
Using Cloudera's portable data services, data teams can quickly move data workloads or applications from one place to another. This gives them more flexibility for managing the entire company in a single data lakehouse location. With the latest enhancement to its Unified Data Fabric, Cloudera simplifies and secures data movement by moving metadata along with application-relevant data.
Moreover, Cloudera’s new universal data distribution capabilities provide a solution for controlling hybrid data through a “data-first” strategy. When companies manage their data intelligently, they can access and analyze it without limits.
Cloudera's new data analytics and data management innovations for hybrid data are specifically designed to help companies manage data at scale across data centers and public clouds, helping make ML and AI business transformation possible.
It is also not the only company that is solving the hybrid data management problem. DataStax, the real-time data company, and Decodable, the streaming processing platform company, also recently announced a new partnership to help developers build modern real-time applications and deliver data services in minutes and at what it claims to be a dramatically lower cost.
The two companies will connect their cloud services to deliver the benefits of three powerful open source technologies together: Apache Pulsar, Apache Flink and Apache Cassandra. The joint solution will be offered as fully-managed services available on any cloud through DataStax’s Cassandra-based Astra DB, Pulsar-based Astra Streaming, and Decodable’s SQL-based stream processing platform powered by Apache Flink.
The services are connected through APIs, and enable developers to easily build a complete, end-to-end, real-time data analytics pipeline and applications in minutes.
“Real-time applications and data services are today’s competitive powerhouse, and many companies are seeking a robust yet simple solution that enables them to access and use the data required to power these applications. The connected Decodable and DataStax SaaS offerings will eliminate the cost and complexity barriers standing in the way of our customers building game-changing applications that meet the needs of their end-users,” said Eric Sammer, chief executive officer at Decodable.
Keep watching this space as more companies announce new hybrid data management capabilities.
