Tron Data

Bitquery provides Tron blockchain data as Parquet exports from the Bitquery Data Store, designed for large-scale analytics, historical backfills, and data lake integrations. These datasets can be hosted directly in your own cloud storage (for example, AWS S3) and queried using engines like Snowflake, BigQuery, Athena, Spark, etc.

Available Tron Topics

For Tron, Bitquery currently provides the following datasets:

• Blocks – Block-level metadata

• Transactions – Full transaction-level data

• Transfers – Native TRX and token transfers

• Balance Updates – Account balance changes per block

• DEX Trades – Executed trades on Tron DEXs

Sample Tron Cloud Dataset

You can explore schemas and validate your tooling using the public Tron sample datasets:

GitHub reference (schemas & examples)
https://github.com/bitquery/blockchain-cloud-data-dump-sample/tree/main/tron

Example Parquet file (public S3)

https://bitquery-blockchain-dataset.s3.us-east-1.amazonaws.com/tron/balance_updates/<block_range>.parquet

Tron Dataset Directory Structure

bitquery-blockchain-dataset/
└── tron/
    ├── balance_updates/
    │   ├── <start_block>_<end_block>.parquet
    │   ├── <start_block>_<end_block>.parquet
    │   └── ...
    ├── blocks/
    │   ├── <start_block>_<end_block>.parquet
    │   ├── <start_block>_<end_block>.parquet
    │   └── ...
    ├── dex_trades/
    │   ├── <start_block>_<end_block>.parquet
    │   └── ...
    ├── transactions/
    │   ├── <start_block>_<end_block>.parquet
    │   └── ...
    └── transfers/
        ├── <start_block>_<end_block>.parquet
        └── ...

Block Range Naming Convention

Each Parquet file name follows this format:

<start_block>_<end_block>.parquet

Example:

78861100_78861149.parquet

Get Full Access

Buy on the Data Store or email sales@bitquery.io for custom ranges. A Data Store purchase is downloaded from a Requester Pays S3 bucket or a Cloudflare R2 bucket, chosen at checkout. Custom exports can be delivered into your own S3, GCS or R2 bucket, or as a Snowflake or BigQuery share. To trial it first, fill the API form.

Datasets you can buy on the Data Store:

• TRON Transfers — every TRX, TRC-10 and TRC-20 transfer since mainnet launch, valued in USD where a price exists

This listing is not the full catalogue. Other topics, chains and date ranges are available on request from sales@bitquery.io.

Reading Files with DuckDB

No key, no client library — point DuckDB at the public sample directly:

SELECT *
FROM read_parquet('https://bitquery-blockchain-dataset.s3.us-east-1.amazonaws.com/tron/transactions/78861100_78861149.parquet')
LIMIT 10;

Reading Files in Python

import pandas as pd

df = pd.read_parquet("https://bitquery-blockchain-dataset.s3.us-east-1.amazonaws.com/tron/transactions/78861100_78861149.parquet")
print(df.info())
df.head()

Real-Time vs Batch Data Access

Data Store exports are optimized for batch analytics and historical workloads.

If you require low-latency or streaming Tron data, Bitquery also provides:

• Kafka streams

• GraphQL subscriptions