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Databricks | Industry trends | Data engineering | Tool strategy
Databricks | Industry trends | Data engineering | Tool strategy S4 E2: Byte: NFTs, Snowflake and Aggregators
NFTs, Snowflake and cloud aggregators — three trends that look like hype until you work out what they're actually for.
Part ofDatum Podcast
- NFTs are best understood not as today's art-trading speculation but as a mechanism for adding provenance, traceability and credit to digital and creative work over the long term.
- Snowflake charges for compute (via a credit system measured in roughly 60-second blocks) rather than storage, so the right cost comparison is a full year of 24/7 use against a traditional database, then halving it for realistic usage.
- Snowflake works on a metadata layer, leaving the underlying data unchanged, which enables features like querying a database as it looked up to 90 days in the past.
- The real catch with Snowflake is that you must change how you think about pricing and ROI, which is exactly why adoption took years.
- Databricks and similar de-aggregators win by being cloud-agnostic and compatible with many tools and languages, rather than trying to be a single all-in-one platform like Salesforce's walled garden.
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| We’re back this time talking about Snowflake, the Cloud, deggregators, NFTS & Microsoft
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