Alisa Davidson
Printed: 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 accessible on AWS, offering researchers and builders with free entry to detailed transaction, token, NFT, and decentralized change information 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 information from the TON blockchain, facilitating superior analytics and analysis to help innovation throughout the blockchain ecosystem.
The dataset is produced by the TON-ETL venture, created by TON Studio, a workforce centered on supporting builders within the TON ecosystem. Hosted on AWS, the venture makes use of varied providers together with Amazon S3, Amazon RDS, Amazon Athena, and Amazon EKS to make sure dependable information storage, processing, and evaluation. Information is saved in Parquet format on Amazon S3 and partitioned by date to reinforce question effectivity, making it appropriate for large-scale analytics throughout the AWS Analytics surroundings.
The dataset options a number of tables, together with data on blocks and transactions, messages—reflecting TON’s asynchronous operations composed of a number of message payloads—jetton occasions that observe token transfers, burns, and mints, in addition to non-fungible token (NFT) objects and transfers detailing possession and transaction historical past. Moreover, it contains decentralized change commerce information comparable to swap occasions and pool actions. Collectively, these tables provide an in depth perspective of the TON blockchain, permitting customers to research transaction volumes, token flows, NFT actions, and different key blockchain metrics.
Superior Evaluation Of TON Blockchain Information Enabled Via AWS Analytics Providers
The TON dataset might be explored utilizing varied AWS providers comparable to Amazon Athena, Amazon SageMaker, Amazon QuickSight, and Amazon EMR, enabling customers to extract beneficial insights from the information. For instance, Amazon Athena might be utilized to question the dataset to determine the best jetton switch volumes inside a specified timeframe, analyze transaction behaviors to uncover developments or irregularities, and monitor NFT gross sales together with possession modifications all through the TON community.
Previous to accessing the information on AWS, it’s essential to create the corresponding tables throughout the AWS Glue Information Catalog. This setup might be completed by means of simple AWS CLI instructions or by using the chat-with-blockchain-data-with-amazon-bedrock venture, which offers CDK-based directions for desk creation and features a “textual content to SQL” Amazon Bedrock Agent designed for AI-powered information evaluation.
Integrating TON’s dataset into the AWS Public Blockchain Information program represents a notable development in bettering the provision of TON blockchain data to a worldwide viewers. This useful resource serves researchers investigating blockchain developments, builders engaged on Web3 purposes, and analysts analyzing DeFi and NFT markets. Customers are inspired to interact 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 have interaction 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 have interaction readers within the ever-evolving panorama of digital finance.








