Right-size your analytics stack with Aiven for ClickHouse®

Organizations using Snowflake or Databricks primarily for dashboards and scheduled reports may face costs that increase with user concurrency and continuously running compute, despite having relatively simple SQL-based reporting workloads. The passage proposes Aiven for ClickHouse as a fixed-plan, managed columnar database alternative for high-concurrency analytics, with integrations for PostgreSQL, Apache Kafka, cloud object storage, and DataHub intended to reduce the need for separate ingestion, orchestration, and governance tools. It describes using refreshable materialized views for smaller PostgreSQL tables, Kafka and Debezium for event streams or change data capture, and tiered storage to retain older data in lower-cost object storage while keeping it queryable. Rather than replacing Snowflake or Databricks entirely, it recommends migrating costly dashboards incrementally, validating results against existing reports, retaining the original platforms for large-scale transformations, Spark jobs, or machine learning, and shifting suitable dashboard traffic to ClickHouse.

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