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HomeCryptoBlockchainBlaze switches from Snowlake to Space and Time  

Blaze switches from Snowlake to Space and Time  

Blaze, a Web3 advertising and marketing automation platform powered by synthetic intelligence (AI), is restructuring its infrastructure and migrating from Snowflake to Area and Time (SXT), a decentralized Web3 database powered by zero-knowledge (ZK) proofs, as reported to Finbold on February 4.

The transition will help Blaze’ in selling decentralization, transparency, and safety each on its platform and within the Web3 area at massive.

Decentralized Web3 databases

Already supplying advertising and marketing analytics and automation instruments utilized by main crypto manufacturers corresponding to OpenSea, Animoca Manufacturers, and Gala, Blaze is able to put much more sources into Web3-native options.

By switching to SXT, Blaze seeks to eradicate the necessity for centralized databases and guarantee verifiable, tamper-proof knowledge administration.

Most notably, the change to SXT’s ZK-proof-powered database implies that Blaze’s AI-driven knowledge can stay trustless and verifiable, which can in flip increase crypto marketer confidence.

Nikhil Gautam, Head of Advertising at Blaze, described SXT because the “finest in school” alternative for the corporate:

“Transferring to SXT permits us to align our platform with the decentralized ethos of the crypto group whereas concurrently enhancing knowledge safety and belief for our clients. To construct a decentralized software, your database needs to be decentralized, and SXT is finest in school.”

In flip, Catherine Daly, Head of Advertising at Area and Time Labs, famous that the Blaze integration reveals the rising demand for decentralized infrastructure in Web3:

“Blaze’s transfer to SXT highlights the rising demand for decentralized database infrastructure throughout every kind of crypto tasks. Web2 databases haven’t any place in Web3. We’re thrilled to assist Blaze in delivering a greater, safer, crypto-native expertise to their customers.”

As for the tip consumer, the migration guarantees a smoother expertise characterised by enhanced transparency, efficiency, and knowledge verifiability.

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