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Solana Data

Bitquery provides Solana 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 Solana Topics​

For Solana, Bitquery currently provides the following datasets:

  • Blocks – Slot-level block metadata

  • Transactions – Full transaction-level data

  • Transfers – Native SOL and token transfers

  • Balance Updates – Account balance changes per slot

  • DEX Pools – Decentralized exchange pool metadata

  • DEX Orders – Order-level DEX activity

  • DEX Trades – Executed trades on Solana DEXs

  • Rewards – Validator and staking rewards

Sample Solana Cloud Dataset​

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

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

Example Parquet file (public S3)

https://bitquery-blockchain-dataset.s3.us-east-1.amazonaws.com/solana/balance_updates/390740000_390740049.parquet

Solana Dataset Directory Structure​

bitquery-blockchain-dataset/
└── solana/
├── balance_updates/
│ ├── 390740000_390740049.parquet
│ ├── 390740050_390740099.parquet
│ └── ...
├── blocks/
│ ├── 390740000_390740049.parquet
│ ├── 390740050_390740099.parquet
│ └── ...
├── dex_orders/
│ ├── 390740000_390740049.parquet
│ └── ...
├── dex_pools/
│ ├── 390740000_390740049.parquet
│ └── ...
├── dex_trades/
│ ├── 390740000_390740049.parquet
│ └── ...
├── rewards/
│ ├── 390740000_390740049.parquet
│ └── ...
├── transactions/
│ ├── 390740000_390740049.parquet
│ └── ...
└── transfers/
├── 390740000_390740049.parquet
└── ...

Slot Range Naming Convention​

Each Parquet file name follows this format:

<start_slot>_<end_slot>.parquet

Example:

390740000_390740049.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.

Per-protocol Solana datasets on the Data Store, each with decoded trades priced in USD:

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/solana/balance_updates/390740000_390740049.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/solana/balance_updates/390740000_390740049.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 Solana data, Bitquery also provides:

Build with Bitquery

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