How Cactos Migrated from Amazon RDS and Cut Costs by 55%

Cactos, a company specializing in battery energy storage systems, successfully migrated its time-series data workloads from Amazon RDS to Tiger Data, resulting in a 92% reduction in storage and a monthly cost saving of $5,000. This move was driven by the limitations of Amazon RDS in handling time-series data efficiently and cost-effectively, as the company's database needs had grown to 15TB of fleet telemetry data, resulting in escalating costs. By transitioning to Tiger Cloud, a fully hosted TimescaleDB solution on AWS, Cactos could consolidate its transactional and analytical queries into one SQL interface, benefiting from native compression, tiered storage, and enhanced data retrieval speeds. The migration was executed with minimal downtime and no significant architectural changes, allowing Cactos to maintain a clean architecture and continue to provide intelligent buffering solutions for sectors such as agriculture and electric vehicle charging. Looking forward, Cactos plans to expand its fleet and product offerings, leveraging Tiger Data's capabilities to support its growth and new use cases.

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