Case Study: Jana achieves faster, scalable data insights with Snowflake

Jana uses Snowfl ake to Provide Faster Data Insights Across the Company

Jana, maker of the mCent app that delivers free internet to over 30 million smartphone users in emerging markets, relied on behavioral data to tune features, run A/B tests, and detect fraud. As app usage grew into billions of megabytes, their original analytics pipeline (Kafka/HDFS/MapReduce feeding MySQL) could no longer keep up: queries slowed, table scans became impractical, and administration and capacity planning for MySQL and Hadoop consumed increasing engineering time.

Jana migrated its analytics to the Snowflake Elastic Data Warehouse by copying Avro files to S3 and loading them into Snowflake, replacing many map-reduce steps with simple SQL and enabling direct queries on semi-structured data. The move unlocked queries that previously timed out, allowed months of backloaded data to be processed far faster than before, doubled analyst usage across the company, provided isolated warehouses for faster testing and feature rollout, and cut operational overhead—freeing up about 25% of the operations team’s time.

Jana

Craig Lancaster

CTO