In a month of remarkable gains, Solana has once again surged to the #7 spot in the market cap rankings, witnessing a substantial increase of +62% in value throughout October. Notably, the SOL community’s enthusiasm is evident, as nearly 2% of discussions pertaining to the top 100 assets revolve around SOL, and escalating trading volume points toward a bullish trend.
Google Cloud’s Solana Integration
However, amid this excitement, enthusiasts have another reason to celebrate. Solana achieved milestone by integrating into Google Cloud’s BigQuery data analytics service. This integration enhances access to Solana-based data and extends support to Solana as the 20th blockchain network. The announcement was initially made during Breakpoint 2022 in Lisbon, and the community eagerly anticipated this collaboration.
Google Cloud’s BigQuery is a serverless data warehouse known for its machine learning, artificial intelligence, and business intelligence capabilities. By incorporating the network into BigQuery, the objective is to provide deeper insights into blockchain analytics. However, the SOL network Foundation and Google Cloud took their time to ensure that the dataset captures a comprehensive overview of on-chain activities, delaying the go-live date to Q1.
This integration opens the doors for developers, enterprises, and individual users to query Solana data, enabling them to answer complex questions related to transactions, NFT minting, wallet activities, and more. By leveraging Google’s Bigtable distributed data storage service alongside BigQuery, the ecosystem also grants access to archival data from the SOL network.
One of the early adopters of this integration is the Multichain NFT app, Floor, which utilizes the network’s integration to provide valuable data on Solana NFT sales and listings to the BigQuery platform. It allows analysts and users to gain a deeper understanding of the Solana NFT ecosystem.
With Google Cloud’s BigQuery, Solana has broader implications for the adoption of web3 by web2 companies. Comprehensive datasets like BigQuery can help traditional tech and finance firms better understand the potential of blockchain and crypto, ultimately guiding their decision-making processes.
Moreover, web3 developers can conduct advanced research using this dataset, facilitating in-depth analysis and the creation of informative visuals to represent network activity. However, it will also be instrumental in comparing user activity and network fees across different blockchains, offering valuable insights to projects seeking to optimize their operations.
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