TarzanDB
Beyond Limits — Query Acceleration that Breaks Barriers.
Guaranteeing ultra-fast, bottleneck-free response speeds even under heavy traffic — powered by an External Query Cache system and a high-performance Connection Pool.
"AI Reinvents the DBA's Role"
Leave repetitive management tasks to AI. Maximize operational efficiency with AI-powered performance diagnostics, auto-tuning, and failure prediction.
"Uninterrupted Business Continuity, 365 Days a Year"
Supporting near-limitless scalability and instant automatic failover through Active-Active redundancy and massive sharding.
As the solution that best understands Korea's complex financial, public-sector regulations, and IT landscape, TarzanDB stands as 'the most practical and reliable alternative to Oracle.'
Smart Operation Partner
Even in environments with limited DBA resources, AI handles routine management and fault detection — enabling stable operation of large-scale systems with a lean team.
Optimized for K-EcosystemAWS
Supporting fast, secure cloud migration for public and financial institutions with architectures optimized for leading Korean CSPs — including Naver Cloud, KT Cloud, and NHN Cloud — and security compliance.
Seamless Transition
Advanced migration tools minimize cost and risk, making it easy and safe for anyone to transition to an open-source based database.
TarzanDB
Solution
Performance Acceleration
Faster, More Efficient Processing | Extreme Performance
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Smart Caching: Caches frequently used query results in memory to reduce load
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Connection Pool: Improves query reusability to minimize resource waste
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Query Acceleration: High-speed processing of complex operations via optimized execution paths
High Availability & Scalability
"Your Data Is Secure — No Matter What" | High Availability
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Multi-Active HA: Flexible Active-Active and Active-Standby configurations
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Auto-Failover: Automatic switchover within 1 second upon fault detection
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Massive Sharding: Flexible cluster expansion in response to data growth
Monitoring & Operations
AI-Powered Visibility Into Even Hidden Issues | AI-Ops & Monitoring
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Real-time Monitoring: Unified monitoring across all PostgreSQL-based products
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Deep Analysis: Accurate root-cause identification and long-term trend analysis
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Vacuum Care: Monitoring and guidance for Vacuum — a core PostgreSQL process
Migration Services
The Safest Path from Oracle/Tibero | Seamless Migration
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AI Migration Tool: Automated SQL conversion and self-validation for data integrity
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Expert Consulting: Hands-on support from a dedicated team with extensive field experience
CONTACT US
365 · 24 · 7, Your ever-reliable technology partner
Sales Inquiry
E-mail jet@ntels.com
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Technical Inquiry
E-mail swpark@ntels.com
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References
DBMS Transition for KG Mobilians
NTELS carried out a project to transition KG Mobilians’ mobile transaction data analysis system from the existing MariaDB ColumnStore to PostgreSQL. Integration with the source data from Oracle DB was configured using oracle_fdw instead of dblink.While PostgreSQL’s dblink requires significant development effort due to its traditional RDBMS approach, oracle_fdw provides the ability to easily connect tables from an external database as if they were internal tables.The key objective of this project was to determine whether the performance of MariaDB ColumnStore could be matched by a single-server PostgreSQL setup. NTELS achieved performance comparable to MariaDB ColumnStore through partitioning, parallel processing, and SQL tuning, while actively addressing performance issues related to extension problems to ensure stable system operation.
DW System for Korean Institute for Healthy Family
The Korean Institute for Healthy Family is an organization that supports various families in the country by providing counseling and childcare services. NTELS undertook a project to build a Data Warehouse (DW) system utilizing the organization’s family support service information.The goal of this project was to prevent discrepancies in statistical results at different query points caused by changes in the source data of family support services and to minimize the impact on services from large data analyses. To achieve this, NTELS implemented TarzanDB as the Data Warehouse database and integrated an ETL-DW-BI solution. The DW database built with TarzanDB enables easy data analysis using standard ANSI SQL, and its powerful concurrency handling capabilities ensure fast and stable service even when accessed simultaneously by centers nationwide.Additionally, through the integrated BI solution, an environment for analyzing both structured and unstructured reports was established, allowing staff to analyze data more easily.