what’s Data orchestration?

A data orchestration platform brings your data closer to compute across clusters, regions, clouds, and countries

Data challenges in today’s disaggregated world

Today we see more enterprise architectures shifting to hybrid and multi-cloud environments. And while this shift allows for more flexibility and agility, it also means having to separate compute from storage, creating new challenges in how data needs to be managed and orchestrated across frameworks, clouds, and storage systems.

low performance

Data is not local to compute, leading to degraded workload performance.

POOR accessibility

The same data needs to be accessible to different, popular analytical & ML frameworks.

RIGID
scaling

Running computation where data persists makes scaling extremely limited & expensive.

No self service data

To make data accessible to the users, complex ETL jobs are needed that copy data across different silos.

high Cost of management

Cloud storage egress costs continue to rise due to multiple data storage layers in the cloud.

unreliable s3 performance

Today’s object storage capabilities are not ready for interactive big data workloads.

complex Data
ManagemeNT

High availability, storage system data management and disaster recovery is complex.

limiteD DATA security

No unified way to secure data across different clouds and storage systems.

The need for a new DATA ORCHESTRATION platform

To address these data challenges, enterprises are adopting a new platform: the data orchestration platform. A unified data orchestration platform simplifies your data’s cloud journey.

A data orchestration platform fundamentally enables separation of storage and compute. It brings speed and agility to big data and AI workloads and reduces costs by eliminating data duplication and enables users to move to newer storage solutions like object stores.

Alluxio – Data orchestration fRAMEWORK for The cloud

Alluxio is a compute agnostic, storage agnostic and cloud agnostic solution for big data and machine learning applications.

Data locality

Data is local to compute, giving you memory-speed access for your big data and AI/ML workloads

Data accessibility

Data is accessible through one unified namespace, regardless of where it resides

Data ON-DEMAND

Data is as elastic as compute so you can abstract and independently scale compute and storage

Resources

News
Data Orchestration Needs To Play ‘One Louder’

The answer for many technologists it to look to data orchestration technologies. These are platforms built to collect, configure, coordinate, conjoin and manage the silos of data that exist around any given enterprise.

Forbes