Secure and Efficient Database Service

Your database is always secure. Samsung SDS Database preemptively blocks any unauthorized external access with strong security provisions and ensures business continuity with database duplexing. With the support from Samsung SDS, customers may fully focus on their applications and business capabilities.

Secure and Efficient Database Service

Products and Key Features

EPAS

Enterprise-class relational database based on open source PostgreSQL

What you need

  • -

    Stable PostgreSQL-based RDBMS

  • -

    Transition to open source-based RDBMS from existing Oracle DBMS

  • -

    Technical support from experts for reliable service

Key features

  • -

    Services based on virtual servers, containers and bare metal servers

  • -

    Compatibility function with Oracle

  • -

    Automated migration tools

  • -

    Technical support from experts (additional purchase)

  • -

    Monitoring and health checkup services

Kinetica

Column-oriented, in-memory database with real-time location analytics and visualization

What you need

  • -

    DBMS with parallel processing of data using GPU

  • -

    Geospatial data processing, real-time geospatial visualization and geospatial graph analytics

  • -

    Real-time visualization of data results using GPU rendering

  • -

    Tensorflow and other AI Libraries linked on Kinetica to process data

Key features

  • -

    Virtual server-based service

  • -

    Data parallel processing (using GPU)

  • -

    Built-in tools for real-time geospatial data processing and real-time visualization

  • -

    Support for libraries used for deep learning and machine learning

MariaDB

Free relational database highly compatible with MySQL

What you need

  • -

    A secure open source RDBMS with similar functions as MySQL

  • -

    A storage engine with various features

Key features

  • -

    RDBMS service with similar levels of performance and reliability as MySQL

  • -

    Technical support based on community version MariaDB (additional purchase)

Microsoft SQL Server

Enterprise relational database made by Microsoft

What you need

  • -

    Windows-based RDBMS for management convenience

  • -

    In-Memory feature to process and analyze data

  • -

    Stable support from vendors

Key features

  • -

    Support for Windows and Linux platforms

  • -

    High-performance analysis based on in-memory database

  • -

    Stable support and security service

MongoDB

Enterprise-class NoSQL database with high scalability and high performance

What you need

  • -

    NoSQL, a globally most commonly used open source database with scalability

  • -

    Data management in document formats and view them under various conditions

Key features

  • -

    Lightweight, fast speed and high scalability

  • -

    Various condition search enabled by document processing in JSON format

MySQL

Small but strong open source relational database

What you need

  • -

    Most globally used open source relational DBMS

  • -

    A variety of storage engines (InnoDB, Archive, Merge, Memory) to meet various business requirements

Key features

  • -

    Pluggable storage engine options such as InnoDB, Archive, Merge and Memory

  • -

    Data replication

  • -

    Low operation cost

PostgreSQL

Open source PostgreSQL-based relational database service

What you need

  • -

    Stable PostgreSQL-based RDBMS

  • -

    Technical support from experts for reliable service

Key features

  • -

    Services based on virtual servers, containers and bare metal servers

  • -

    Automated migration tools

  • -

    Technical support from experts (additional purchase)

  • -

    Monitoring and health checkup services

Redis

Key-value in-memory data store with fast data processing

What you need

  • -

    Highest cost efficiency enabled by expanding read/write processing through data caching

  • -

    Existing database for in-memory data store and enhance performance

  • -

    In-memory database for streaming solutions such as Kafka and Kinesis to collect, process and analyze data in real time

  • -

    Improved application performance by quickly storing and updating web session data

  • -

    A pub/sub messaging system development

Key features

  • -

    Light-weight, fast and high scalability

  • -

    Key-Value NoSQL with real-time big data processing

  • -

    Various data structures (e.g. strings, hashes, lists, sets, bitmaps, hyperloglogs, etc.), unlike simple key value data stores

  • -

    Enhanced reading and quick recovery enabled by master-slave/distributed architecture

  • -

    Cluster configuration for high availability

  • -

    Support for more than 100 open-source clients and multiple programming languages (Java, Python, PHP, C, C++, C#, JavaScript, Node.js, Ruby, R, Go, etc.) for quick connections between relevant systems

ScyllaDB

NoSQL database with high throughputs, low costs and compatibility with Cassandra

What you need

  • -

    High-performance NoSQL for real-time processing of big data

  • -

    To overcome limitations of servers or memory

  • -

    More reliable and faster performance

Key features

  • -

    NoSQL with real-time processing of big data

  • -

    Cloud-based management environment

  • -

    Fast and reliable service

Tibero

Tibero relational database

What you need

  • -

    Disk-based RDBMS

  • -

    Services that guarantee high availability

  • -

    Technologies with high capacity and high performance

  • -

    Convenient migration through high compatibility and utility

Key features

  • -

    Guaranteed high-availability in active-standby configuration and disk synchronization

  • -

    High performance parallel processing and compression as well as various indexing/partitioning techniques

Let's talk

Whether you're looking for a specific business solution or just need some questions answered, we're here to help.