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7 Sensible Methods to Reduce Snowflake Compute Value

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Burn Money

The local weather modified and everybody rapidly observed how costly Snowflake is.

How Snowflake fails – Benn Stancil

Why is Snowflake so costly – Stas Sajin

Snowflake efficiency challenges – Slim Baltagi

Okay, so Snowflake is dear. However what do I do about it?

  1. Keep away from frequent updates
  2. Optimize for cost-per-query with apps operating 24×7
  3. Tune gradual queries
  4. Cut back auto-suspend to 1 or 2 minutes
  5. Construct Snowflake chargeback dashboards
  6. Strive third-party price analyzers
  7. Set useful resource screens and spend thresholds

Let me dig into every of those a bit extra.


1 avoid updates

Trendy databases like DynamoDB and MongoDB provide CDC streams.

Your stakeholders ask for more energizing knowledge.

You determine to replace your warehouse extra incessantly and also you run out of Snowflake credit in per week.

Snowflake is constructed for batch. It does costly MERGE operations throughout ingestion, and CDC streams are more likely to burn your compute credit in per week. When you ever see Kafka occasions or Snowpipe streaming into your warehouse, simply mutter son of a batch and stroll away.

Warehouses like Snowflake, Redshift, Bigquery are optimzed for long-running scan intensive queries over historic knowledge (e.g. “what was our common promoting value in France this yr in comparison with final yr?”). By design, they provide low cost-per-GB saved, however do costly scan operations for each question. Having builders construct excessive QPS knowledge apps on them is very inefficient (and gradual and irritating).

Actual-time analytics platforms like Rockset, Druid, and Pinot are optimized for streaming ingest and the sorts of selective question patterns that knowledge apps want, making this breed of databases the higher alternative for powering user-facing analytics. Queries are quicker, and extra environment friendly as a result of they use indexes as a substitute of brute-force scans. Each question latency and cost-per-query are decrease.

For sure workloads you need to optimize for cost-per-query not cost-per-GB. Use a warehouse like Snowflake for BI workloads with rare queries, and a real-time analytics database like Rockset for knowledge apps that run 24×7. Utilizing the proper device for the job usually means quicker queries at decrease compute price.

“What do I do when my Snowflake question is gradual? I kill the question and bump up the compute”


3 tune

Other than the higher recognized efficiency tuning methods like Knowledge Clustering and Materialized Views, Snowflake has a good variety of gradual question optimizations like decreasing queueing, utilizing consequence caching, tackling disk spilling, rectifying row explosions, fixing insufficient pruning.

Listed below are some helpful suggestions: find out how to optimize gradual queries

Run this Snowflake SQL question to seek out the costliest queries from question historical past in final 30 days, and tune the extra frequent ones.


4 reduce

5 minutes is a very long time whenever you’re sitting nonetheless. And it is a actually actually very long time whenever you’re burning compute.

Spinning up a brand new digital warehouse is quick. By default Snowflake units auto-suspend to five minutes, but it surely’s simple to alter it to 1 or 2 minutes.

“I exploit a Snowflake Giant. How a lot does it price me? I’ve no clue” (from precise Snowflake person)

“My CFO is asking me for invoices. I discovered the credit however nonetheless undecided how a lot I am spending” (from Snowflake boards)

Listed below are some useful suggestions: find out how to construct these chargeback dashboards

By default solely ACCOUNTADMIN position can view billing. First, grant all of your customers Monitor Utilization privileges. Subsequent, construct an total credit score consumption dashboard with precise mapping of credit to {dollars}. And construct credit score consumption and question execution dashboards by warehouse. Share month-to-month studies with all customers.

Is that the perfect I can do? It is a query that haunts the perfect of us.

Here’s a helpful Snowflake Workload Optimization utility powered by Bluesky


6 try third

Use third social gathering price analyzers which have clever monitoring, present good trade benchmarks and provide step-by-step suggestions.


7 set

There aren’t any positive shot methods to get wealthy. However some issues are a slippery slope. Do not be that man (or gal).

Set onerous limits on spend and setup notifications and alerts. When your warehouse reaches 50% of its spend threshold, examine your ingest and question patterns and do the proper factor.



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