Since transitioning from Elasticsearch to Snowflake, Sygnia has seen a dramatic transformation in operations, eliminated storage constraints, lowered data platform costs by more than 35%…

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Sygnia successfully migrated their security data lake from Elasticsearch to Snowflake, resulting in improved operations, reduced costs, and empowered analysts. They faced challenges with cost, retention, and indexing in Elasticsearch. Snowflake's separation of compute and storage, cost efficiency, scalability, and SQL capabilities were driving factors in the decision to switch. The migration process involved testing in a development environment, involving analysts early, monitoring, scaling up, and migrating production environments. The impact of the migration included cost reduction, limitless data storage, enhanced scalability, operational efficiency, and a better user experience. Lessons learned included the benefits of ingestion with Snowpipes, good auto-clustering, activating top-k queries by default, enabling search optimization, and optimizing the use of UDFs.

Building a Security Data Lake for the Future: Sygnia’s Migration from Elasticsearch to Snowflake