Are cloud compute and storage costs included in Snowflake?
Yes. Snowflake pricing is based on virtual warehouse (compute) size, cloud services, data storage, and other factors. Compute usage is billed on a per-second basis (minimum of 60 seconds). You can also pre-purchased Snowflake capacity to reduce processing costs. Estimate Snowflake costs online with the credit consumption and pricing tables.
Yes. Unravel automatically integrates and correlates external data quality checks with AI-driven insights. For example, you can drill down into quality check results, timelines, lineage, partitions, schema, usage, size, users, and more.
Can Unravel monitor spending to ensure data workloads stay within budgets?
Yes. Unravel helps you allocate, track, and manage costs with pinpoint precision. Unravel helps you break down and allocate costs by department, team, workload, application, even down to the individual job or user level.
How does Unravel help when migrating to Snowflake?
Unravel provides granular Insights, recommendations, and automation for before, during and after your Spark, Hadoop and data migration to Snowflake. Unravel for Snowflake is a complete data observability platform to help you tune, troubleshoot, cost-optimize, and ensure data quality on Snowflake. Unravel provides AI-powered recommendations and automated actions to enable intelligent optimization of data pipelines and data applications.
Can Unravel receive Snowflake telemetry automatically?
Yes. Unravel provides valuable insights and data relating to your warehouse activities. You can manage and optimize your warehouse activities. You can monitor costs, review trends, and access detailed warehouse information.
Does Unravel provide any details about Snowflake tables?
Metadata: For example, database and table names, owner, path, storage format, create date, etc.
KPIs: For example, the number and size of tables and partitions, the number of applications accessing each table, etc.
Insights: For example, tables with too many small files or tables that do not have table statistics, etc.
What does automated tuning mean with respect to AI-powered data performance management?
Unravel for Snowflake helps automate performance tuning with the Speed, Cost, Reliability Optimizer which helps data teams quickly tune application performance and improve cost efficiency with AI recommendations. For example, Unravel for Snowflake helps you find slow, failing, and expensive queries, then provides AI-driven recommendations to improve the efficiency and performance. Those recommendations include improvements to code, configuration settings and even data layout. Unravel also helps users dynamically scale their Snowflake warehouses based on predicted capacity needs to match capacity with demand.
Is it possible to get the insights based on Tag or schema? For Eg. Schema can be a Business Unit or a specific Function like HR?
Yes, Unravel works with your existing Snowflake warehouse tags and you can create custom labels for Snowflake compute or search using Query DSL (Domain Specific Language) to align with your business functions.
