Alisa Davidson
Revealed: August 08, 2025 at 10:45 am Up to date: August 08, 2025 at 10:17 am
Edited and fact-checked:
August 08, 2025 at 10:45 am
In Transient
TON has made its complete blockchain dataset out there on AWS, offering researchers and builders with free entry to detailed transaction, token, NFT, and decentralized trade knowledge for superior evaluation and innovation.
Decentralized layer 1 blockchain The Open Community (TON) introduced that its dataset is now accessible on the Amazon Net Providers (AWS) public blockchain dataset platform. This providing grants researchers, builders, and analysts free entry to intensive knowledge from the TON blockchain, facilitating superior analytics and analysis to assist innovation throughout the blockchain ecosystem.
The dataset is produced by the TON-ETL venture, created by TON Studio, a crew targeted on supporting builders within the TON ecosystem. Hosted on AWS, the venture makes use of numerous companies together with Amazon S3, Amazon RDS, Amazon Athena, and Amazon EKS to make sure dependable knowledge storage, processing, and evaluation. Knowledge is saved in Parquet format on Amazon S3 and partitioned by date to boost question effectivity, making it appropriate for large-scale analytics throughout the AWS Analytics atmosphere.
The dataset options a number of tables, together with info on blocks and transactions, messages—reflecting TON’s asynchronous operations composed of a number of message payloads—jetton occasions that monitor token transfers, burns, and mints, in addition to non-fungible token (NFT) objects and transfers detailing possession and transaction historical past. Moreover, it consists of decentralized trade commerce knowledge reminiscent of swap occasions and pool actions. Collectively, these tables supply an in depth perspective of the TON blockchain, permitting customers to investigate transaction volumes, token flows, NFT actions, and different key blockchain metrics.
Superior Evaluation Of TON Blockchain Knowledge Enabled Via AWS Analytics Providers
The TON dataset could be explored utilizing numerous AWS companies reminiscent of Amazon Athena, Amazon SageMaker, Amazon QuickSight, and Amazon EMR, enabling customers to extract precious insights from the information. For instance, Amazon Athena could be utilized to question the dataset to determine the very best jetton switch volumes inside a specified timeframe, analyze transaction behaviors to uncover developments or irregularities, and monitor NFT gross sales together with possession adjustments all through the TON community.
Previous to accessing the information on AWS, it’s essential to create the corresponding tables throughout the AWS Glue Knowledge Catalog. This setup could be achieved by means of simple AWS CLI instructions or by using the chat-with-blockchain-data-with-amazon-bedrock venture, which gives CDK-based directions for desk creation and features a “textual content to SQL” Amazon Bedrock Agent designed for AI-powered knowledge evaluation.
Integrating TON’s dataset into the AWS Public Blockchain Knowledge program represents a notable development in bettering the supply of TON blockchain info to a world viewers. This useful resource serves researchers investigating blockchain developments, builders engaged on Web3 purposes, and analysts inspecting DeFi and NFT markets. Customers are inspired to have interaction with TON’s dataset and make use of AWS’s complete analytics instruments to find new insights.
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About The Writer
Alisa, a devoted journalist on the MPost, focuses on cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a eager eye for rising developments and applied sciences, she delivers complete protection to tell and interact readers within the ever-evolving panorama of digital finance.
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Alisa Davidson
Alisa, a devoted journalist on the MPost, focuses on cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a eager eye for rising developments and applied sciences, she delivers complete protection to tell and interact readers within the ever-evolving panorama of digital finance.
Extra articles
