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 obtainable 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 Companies (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 help innovation inside the blockchain ecosystem.
The dataset is produced by the TON-ETL venture, created by TON Studio, a staff targeted on supporting builders within the TON ecosystem. Hosted on AWS, the venture makes use of varied companies together with Amazon S3, Amazon RDS, Amazon Athena, and Amazon EKS to make sure dependable knowledge storage, processing, and evaluation. Information is saved in Parquet format on Amazon S3 and partitioned by date to boost question effectivity, making it appropriate for large-scale analytics inside the AWS Analytics setting.
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) gadgets and transfers detailing possession and transaction historical past. Moreover, it contains decentralized trade commerce knowledge reminiscent of 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 Companies
The TON dataset might be explored utilizing varied AWS companies reminiscent of Amazon Athena, Amazon SageMaker, Amazon QuickSight, and Amazon EMR, enabling customers to extract worthwhile insights from the information. For instance, Amazon Athena might be utilized to question the dataset to determine the very best jetton switch volumes inside a specified timeframe, analyze transaction behaviors to uncover traits 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 inside the AWS Glue Information Catalog. This setup might be completed by way of easy AWS CLI instructions or by using the chat-with-blockchain-data-with-amazon-bedrock venture, which supplies 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 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 traits, builders engaged on Web3 functions, and analysts inspecting 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 traits 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 traits and applied sciences, she delivers complete protection to tell and have interaction readers within the ever-evolving panorama of digital finance.







