Indonesia is one of Southeast Asia's most dynamic digital economies, and a robust and effective credit reporting ecosystem plays an important role in supporting financial stability, responsible lending, and sustainable digital growth.
As a leading private credit bureau in Indonesia, Credit Bureau Indonesia (CBI) is tasked with the heavy responsibility of aggregating, governing, and delivering services for massive datasets integrated from telecommunications, e-commerce, and more. However, legacy technical and architectural constraints presented challenges to the bureau’s scalability and efficiency.
Leveraging its core native distributed database technology and full-stack localized service capabilities, OceanBase successfully partnered with CBl to achieve a leapfrog upgrade in business efficiency and service quality. This collaboration is not only a critical turning point for the Bureau’s business innovation but also marks a significant milestone for OceanBase. It validates the mature implementation of OceanBase in complex global scenarios characterized by strict regulation and significant data volumes, setting a benchmark for distributed database technology expanding into new international markets.
As a key component of Indonesia’s digital financial infrastructure, CBI’s operational efficiency supports the timely functioning of financial institutions. Prior to recent system enhancements, several technical challenges influenced compliance processes, data handling, and service delivery.
1. High Regulatory Compliance Thresholds
The OJK (Otoritas Jasa Keuangan) has established a rigorous regulatory framework for credit reporting scenarios. It explicitly requires private credit bureaus to adopt:
2. Limited data processing capacity
CBI manages massive and diverse data sets. As regular data submissions are required, data volumes have expanded over time. Earlier database architecture was not designed for extensive horizontal scalability, which presented challenges in storage efficiency, real-time processing, and data retrieval at scale.
3. Service Output Efficiency
Prior to the upgrade, response times for the Bureau’s core credit report API did not consistently meet the low-latency requirements of Indonesian financial institutions and digital platforms. The existing open-source architecture also involved operational complexity, higher maintenance overheads, and scalability challenges, alongside limited local experience in managing distributed database operations.
Addressing the core demands of strict regulation, significant data processing, and high-concurrency service delivery, OceanBase provided a full-scenario solution centered on its native distributed database architecture:
Following the core system upgrade with OceanBase, CBl achieved breakthroughs in operational efficiency, cost control, and business expansion.
The Bureau’s core credit services handle very high daily request volumes, including significant peak-period concurrency. Following the upgrade, response times have been stabilized at low-latency levels, representing a substantial improvement and aligning service standards with internationally recognized benchmarks.
Seamless scaling has ensured stable online operations, while high data compression reduces storage costs. Localized technical training has also improved the local team’s capabilities, boosting O&M efficiency.
With a stable technical foundation, the Bureau has launched R&D for two new business lines: a consumer-facing credit reporting app and an SME credit reporting platform. Using this collaboration as a starting point, CBl is driving deeper synergy between OceanBase and other business sectors, accelerating the expansion of credit reporting across Indonesia and Southeast Asia.