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Solana Data Export for Snowflake, AWS, Google Cloud, etc.

Bitquery provides Solana blockchain data dumps in Parquet format, 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

Real-Time vs Batch Data Access​

Cloud data dumps are optimized for batch analytics and historical workloads.

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