Canonical: https://molo17.com/g-able-gluesync-success-story/ Markdown mirror: https://molo17.com/g-able-gluesync-success-story/index.md Title: G-Able Success Story: from multiple source databases to Aerospike® & Kafka | MOLO17 Description: Discover how G-Able revolutionized telco customer experience with real-time sync from MS SQL Server®, Oracle®, PostgreSQL® & MongoDB® to Aerospike® & Kafka with Gluesync. CASE STUDY # G-Able revolutionizes telco CX with a real-time data platform. Real-time sync from MS SQL Server, Oracle, PostgreSQL and MongoDB to Aerospike and Kafka for 45 million mobile users. [Book a Demo](/book-a-demo/) [See how it works](/gluesync/)  Customer G-Able Industry Telecommunications Company size Telco customer · ~45 million mobile users Use case Customer 360° · SQL, Oracle, PostgreSQL, MongoDB → Aerospike & Kafka THE CHALLENGE ## A customer 360° platform for 45 million users, with 10–45 ms per transaction. G-Able was looking for a future-proof solution for one of its customers, the largest Thai telecommunication company — aggregate silos into one platform for a new mobile application used by over 45 million users. - **Billing-grade integrity** Data had to be transaction-proof for billing consolidation accuracy. - **Always-on SLAs** Strict SLAs for a service used 24/7 by ~45 million users. - **10–45 ms end-to-end** Latency had to stay within 10–45 ms average per transaction from source to target. - **60–100k TPS** Ability to handle 60K to 100K transactions per second, and about 2 TB of unique data. The solution ## Aerospike, Kafka, and Gluesync across heterogeneous sources. To meet 10–45 ms per transaction, G-Able deployed Aerospike NoSQL and MOLO17 Gluesync for real-time integration across multiple source databases. SQL · Oracle · PG · Mongo source silos Gluesync Kubernetes-native Aerospike + Kafka customer 360° 10–45ms 45M Mobile users on the service 10–45ms End-to-end latency target 60–100k Transactions per second 2 TB Unique data > Gluesync was the game-changer in our journey to real-time data integration. Its speed, reliability, and Kubernetes-native architecture enabled us to guarantee data consistency and integrity across systems—while exceeding expectations for performance and scalability. > > **Sontas Jiamsripong** VP Technical Consultant G-ABLE PLC  Want similar results? ## Start your first real-time pipeline today. Talk to the team or read another customer story. [Book a Demo](/book-a-demo/) [Read more case studies](/case-studies/)