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Computation Middleware

Before

Each upper application directly connects to and accesses various underlying engines in a tightly coupled way, which makes big data platform a complex network architecture.

before

After

Build a common layer of "computation middleware" between the numerous upper-layer applications and the countless underlying engines to resolve these complex connection problems in a standardized reusable way

before

Description

Standardized Interfaces

Linkis provides standardized interfaces (REST, JDBC, WebSocket etc.) to easily connect to various underlying engines (Spark, Presto, Flink, etc.), and acts as a proxy between the upper applications layer and underlying engines layer.

description

Computation Governance

Linkis is able to facilitate the connectivity, governance and orchestration capabilities of different kind of engines like OLAP, OLTP (developing), Streaming, and handle all these "computation governance" affairs in a standardized reusable way.

Core Features

Connectivity

Simplify the operation environment; decouple the upper and lower layers, which make the upper layer insensitive when bottom layers changed

Scalability

Distributed microservice architecture with great scalability and extensibility; quickly integrate with the new underlying engine

Controllability

Converge engine entrance, unify identity verification, high-risk prevention and control, audit records; label-based multi-level refined resource control and recovery capabilities

Orchestration

Computing strategy design based on active-active, mixed computing, transcation Orchestrator Service

Reusability

Highly reduced the back-end development workload of upper-level applications development; Swiftly and efficiently build a data platform tool suite based on Linkis