[Computer World]

Established in 2001, DataStreams is the only total data management company in Korea that leads the local market based on unique solutions developed for 16 years with proprietary technologies in data integration and quality management.

Ranking first in share of Korea’s data integration market, DataStreams’ flagship product ‘TeraStream’ is widely installed at a large number of financial companies, public organizations and enterprises in Korea.

DataStreams Corp. is dedicated to advancing the big data and data governance markets by providing several unique and excellent services. We stand out in a variety of data-related businesses, including data integration, data quality management, big data analysis consulting, data architecture, DW/BI, and SNS unstructured data analysis.

DataStreams Corp. is a recognized market leader with the recent releases of big data analytics platform and data governance platform.

In recognition of its technology competitiveness, potentiality and excellence as world-class products, the company was designated in 2011 as one of a few advanced technology centers(ATCs) by the Ministry of Knowledge Economy, encouraging it to reinforce R&D capabilities. Leveraging its advanced technologies, it strives to develop new products and businesses.

DataStreams’ Main Product - ‘TeraStream BASS’
Real-time internet of things(IoT) convergence over big data platform

‘TeraStream BASS’ is one of the world’s fastest (Bandwidth: 10~15Gbps) distributed in-memory based data ingestion, storage, retrieval, processing and analytics platform.

It is capable of collecting massive volumes of data from various sources such as existing RDBs, server logs, security devices, internet appliances, sensor data and operation analysis at high speeds by API of ‘TeraStream BASS’.

Also, it can store various types of data that are generated from a wide variety of sources powered by distributed in-memory storage system in real-time.

‘TeraStream BASS’ is a very powerful data processing and big data analytics platform that meets the stringent requirements of real-time processing, distributed processing, and batch processing concurrently on Hadoop HDFS. Hybrid analysis of ‘TeraStream BASS’ has extensive and dynamic abilities including high performance batch processing.
 

◆ Features

 ▶ High Performance
  ㆍ World-class data ingestion performance with a bandwidth of 10~15Gbps and indexing features
  ㆍ Lighting fast data retrieval and transfer by collecting various types of IoT and industrial data

 ▶ Scalability
  ㆍ Hybrid data storage technology for the transmitted data from ‘TeraStream BASS’ data sources to in-memory cluster and Hadoop HDFS cluster
  ㆍ The master-slave structure clusters enable horizontal scalability, fault tolerance, and a single dynamically updating point of truth.
  ㆍ Easy to connect with existing open source platforms

 ▶ Ease
ㆍ Push & Pull method for easy and direct acquisition of data from the data sources using Agents
ㆍ Blazing fast query performance and efficient handling of jobs requiring specialized indexing techniques in practical work with super quick and intelligent data search
ㆍ Very similar query syntax to SQL for immediate use

 ▶ Stability
ㆍ High availability of master node for non-stop service
ㆍ Implemented data redundancy for preventing loss of data
ㆍ Parallel processing of data collection by an agent for massively large volumes of data

◆ Solution Concept

◆ System Architecture

 ▶ Implementing cost-effective scale-out hardware architecture
 ▶ Providing big insight by tremendously powerful and amazing quick search in the order of milliseconds
 ▶ Unified platform for provision with easy collection and retrieval of data
 

◆ Key Advantages

 ▶ Hybrid big data analysis
ㆍ High-speed data ingestion, real-time indexing and processing of data
ㆍ Efficient search and data extraction and a wide variety of analysis functions in real-time
ㆍ Older data and user data outside the set threshold are stored in HDFS by auto-balancing
ㆍ Retrieved data analysis by searching ‘TeraStream BASS’ disk memory and HDFS disk

 ▶ Real-time query & monitoring
ㆍ Easy-to-use GUI for data collection and real-time querying, look-up etc.
ㆍ Providing pivot-based query results for a variety of features to tweak analysis
ㆍ Control and monitor functions in the form of dashboards with absolutely zero coding

 ▶ Real-time streaming data processing
ㆍ Real-time inquiry and monitoring features for source data changes
ㆍ Real-time streaming data processing through the discovery and monitoring together with alarm

 ▶ Ease of use and effective management
ㆍ Very useful and handy query features and more than 70 built-in functions
ㆍ Real-time graphical query result display and dynamic dashboard publishing
ㆍ Detailed user permission management and access authority management features
ㆍ HA configuration and data redundancy for fault protection
ㆍ Powerful cluster management resource monitoring, schema management
ㆍ Most fast, varied, and lucid types of data visualization features and UI environments