LinearBase

Distributed Relational Data Processor

Image by Lilla Frerichs
platforms
90%
Pre-Cloud Processing

Reduce development and operating costs, power usage, and associated carbon emissions. 90% of data processed at the edge using smart-devices, tablets, laptops, and desktops.

16
Hybrid-Cloud Topologies

Mix and match 16 topologies including Centralized, Decentralized, Distributed, and Offline across public and private cloud deployments simultaneously.

7
Exo-Cloud Platforms

Multi-tenant data processing outside the cloud across Windows, macOS, Android, iOS, Linux, Docker, and WASM platforms simultaneously. Leverage spare processing capacity in lieu of paid-for.

Devolve

Move data processing from the database to the device for eco-friendly data privacy, low-code data democracy, and data devolution.

Inline

Adds distributed transactional and relational data processing Client functionality and Server capability to the .NET programming language.

Net-Zero

Regulatory compliance and net-zero offer a tangible competitive advantage with a positive effect on the bottom line.

That's one small step for data, one giant leap for data processing

wireless
Hyper-Connected

Developers, analysts, and collaborators interact with virtual data micro-services. Data models appear inline as part of the language eliminating object-relational mapping (ORM) integration tools

streaming
Bi-Directional Streaming

Binary data streamed in the producers’ and consumers’ language and shape of choice via two simple intrinsic methods, Read(criteria) and Write(updates)

Interop
Universal Data Interoperability

An intermediate data language acts as an interpreter enabling all data regardless of vendor, shape, location, or format to appear in the format the consumer requires

hybrid
Virtual Hybrid Data Services

A technological leap in indexless data access. Encompassing dynamic and discoverable just-in-time schema, optimized for operational and analytical data solutions

distributed
Distributed and Accessible

As simple as configuring one or more micro-server endpoints to combine disparate data programs and sources into modular cross-domain multi-provider linear-scale data assets

features
Feature Mix and Match

With a standardized data format, features are no longer vendor or data format specific; RDBMS vs Document and SQL vs NoSQL vs NewSQL becomes irrelevant, it's Data-as-a-Service

timesave
Simple to Use

The concept of a separate back-end is outdated, CloudLESS is a single integrated platform. Designers model data programs. Developers implement logic. Data producers provide content. Analysts draw insight.

fractal
B2B and B2C Fractal Search

The read-optimized storage mechanism supports schema and content discovery, i.e. find which data models contain field X or where Y content occurs. Traverse results to gauge context and gain insights

devops
Agile DevOps

There are no layers of code to modify. A structural change is as simple as modelling and saving an instruction. The read-optimized listeners and code generators reflect temporal changes immediately

If I asked people what they wanted, they would have said faster horses

Henry Ford (allegedly)
How To Transform
Digital Transformation

How to digitally transform existing databases into a new Databank with auto-generated code and demonstration project

How To Model
Digital Modelling

How to digitally model a new Databank, code, and demonstration project from Javascript Object Notation (JSON) scripts

How To Host
Host a Databank Program

How to compile and run the auto-generated code to host a Databank program using Android, Windows, iOS, Mac, Linux, and Docker

Transform
Digital Transformation Program
Model
Digital Modelling Program
Host
Windows Host Program