Alisa Davidson
Printed: August 08, 2025 at 10:45 am Up to date: August 08, 2025 at 10:17 am
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August 08, 2025 at 10:45 am
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TON has made its complete blockchain dataset accessible on AWS, offering researchers and builders with free entry to detailed transaction, token, NFT, and decentralized alternate knowledge for superior evaluation and innovation.
Decentralized layer 1 blockchain The Open Community (TON) introduced that its dataset is now accessible on the Amazon Internet Providers (AWS) public blockchain dataset platform. This providing grants researchers, builders, and analysts free entry to in depth 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 mission, created by TON Studio, a staff targeted on supporting builders within the TON ecosystem. Hosted on AWS, the mission makes use of numerous providers 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 inside 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 observe token transfers, burns, and mints, in addition to non-fungible token (NFT) gadgets and transfers detailing possession and transaction historical past. Moreover, it consists of decentralized alternate commerce knowledge similar 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 Knowledge Enabled Via AWS Analytics Providers
The TON dataset may be explored utilizing numerous AWS providers similar to Amazon Athena, Amazon SageMaker, Amazon QuickSight, and Amazon EMR, enabling customers to extract precious insights from the information. For instance, Amazon Athena may 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 inside the AWS Glue Knowledge Catalog. This setup may be completed by easy AWS CLI instructions or by using the chat-with-blockchain-data-with-amazon-bedrock mission, 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 provision of TON blockchain info to a world viewers. This useful resource serves researchers investigating blockchain developments, 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 Creator
Alisa, a devoted journalist on the MPost, makes a speciality of 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, makes a speciality of 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
