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At the heart of our innovation is In-Data Computing, a technology designed to process large amounts of data efficiently. Our flagship product, BigObject®, embodies this core technology; it’s a time series database developed with the goal of high-speed storage and handling of massive data.

With our core technology of In-Data Computing, we launched a flagship product – BigObject® (also called BO Store) that can quickly and continuously handle non-stop and all aspects data streams.

BigObject® is a time series database developed with the goal of high-speed storage and analysis of massive data. It boasts excellent performance and powerful complex query capabilities. Extending the relational data structure to a time-series model structure, it utilizes In-Data Computing to optimize database’s performance.

Features

Core Technology

Our core technology of In-Data Computing is an abstract model in which all data is kept in an infinite and persistent memory space for both storage and computing.

Small Memory Space

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Read

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Transform

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Write

Storage Space

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Traditional Model

( Storage-based )

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Large Memory Space

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Read

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Transform

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Write

Storage Space

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In-Memory Computing

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Open Data Space

( Memory Space + Storage Space )

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In-Data Computing

In-Data Computing is a data-centric approach, where data is computed in the same space it is stored. Instead of moving data to the code, code is moved to the data space for processing.

Bringing computing to data boosts speed by 2 ~ 3 orders of magnitude!

Complex Query

Find by Association

Find by Pattern

Find by Filter

SQL

My SQL API

Restful API

Stream API

Multi-models

Key Value Logic 2016

Trans-Join 2013

Location-Independent Structure 2013

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Key-Value Model

Trans-Plant

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Relational Model

Trans-Join

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Hierarchical Model

Trans-Graph

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Tree Graph Model

In-Data Programming

In-Data Computing 2015

In-Data Computing Space

Data Storage

With today’s 64-bit architecture and virtualization technology and BigObject’s In-Data Computing technology, our solutions depict a persistent and nearly infinite memory space for live data, and outperform other solutions with less hardware resource requirement.