The fast-paced world of modern frameworks, tools, and applications have one thing in common: data. Data is your most important digital asset. MapR has conceived dataware delivered through the MapR data platform so you can manage your data with any tooling on any infrastructure. Dataware is an abstraction layer that allows data to be managed as a first-class enterprise resource decoupled from any other dependencies. The benefits include much lower TCO for managing data across silos, workloads, and tools and, perhaps more importantly, the ability to gain competitive insights from data even faster.
Previous generations of data management were point products or tools solving a specific issue. Conceptually this is similar to networking devices or compute being treated as a manageable resource. Dataware effectively handles the diversity of data types, data access, and ecosystem tools needed to manage data as an enterprise resource regardless of the underlying infrastructure and location. Dataware helps answer pressing questions faced by an enterprise:
Dataware is a new layer in the enterprise software stack. It solves the challenges of today’s data environment by letting you manage the entire data ecosystem, including multiple clouds and containerized infrastructure. You no longer need to manage multiple data technologies to support distributed applications and analytics across locations. Dataware is powerful for three reasons:
Dataware optimizes the entire data lifecycle – from ingestion to processing – to enable applications that simultaneously require real-time analytics, machine learning, and AI. Dataware gives complete flexibility in leveraging the underlying infrastructure (on-premises, cloud, or containerized infra- structure) and deployment patterns (hybrid or multi-cloud).
MapR believes that the following are critical capabilities for a new enterprise data layer.
How data is stored:
How data is accessed:
How data is distributed:
How data is secured:
The MapR Data Platform delivers the power of dataware to drive data-driven innovation. MapR envisioned the need for a new data platform built from the ground up to handle a diversity of data types and compute engines to better address the needs of AI and analytics in an increasingly streaming and real-time world. MapR put key technologies essential to achieving high scale and high reliability in a fully distributed architecture that spans on-premises, cloud, and multi-cloud deployments, including edge-first IoT.
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