Group: DataKernel

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Log-structured merge-tree table with fields representing aggregate functions, designed for OLAP workload.

An intelligent way of booting complex applications and services according to their dependencies

Conflict-free replicated data type implementation for DataKernel Framework.

Implementation of operational transformation technology which allows to build collaborative software systems.

A convenient way to organize asynchronous code. Promises are a faster and more efficient version of JavaScript's Promise and Java's CompletionStage's.

DataKernel : Boot : Triggers

DataKernel : Boot : Workers

Extremely fast and space-efficient serializers, crafted using bytecode engineering.

Composable asynchronous/reactive streams with powerful data processing capabilities.

Dynamic class and method bytecode generator on top of ObjectWeb ASM. An expression-based fluent API abstracts the complexity of direct bytecode manipulation.

DataKernel : Boot : Config

Multidimensional OLAP database with predefined set of dimensions, measures, and log-structured merge-tree tables containing pre-aggregated data.

DataKernel : ETL

DataKernel : Boot : JMX

Package provides tools for working with logs stored on different partitions.

Basis for building efficient, scalable remote file servers.

DataKernel : Boot : ServiceGraph

Extensions for Google Guice: support of primary and worker Event Loop threads; construction of service graphs.

Archetypes : Simple HTTP Web Application

Archetypes : Simple RPC Application