Canva evaluated different data massaging solutions, including AWS SNS and SQS, MSK, and Amazon KDS, choosing KDS primarily for its lower costs.
KDS was selected for the product analytics data pipeline due to its low cost, low maintenance, and acceptable latency compared to alternatives like MSK.
By implementing batching and compression with 10x ratio on KDS, Canva saved $600k annually while ensuring high throughput and cost-effectiveness
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