No Rip and ReplaceOpen SourceYour Cloud or On-Prem

    You don’t have to migrate everything.
    Just move the expensive part.

    A handful of heavy queries drive most of your Snowflake or BigQuery bill. Point Hardcharger at just those high-cost workloads — the giant scans, the scheduled aggregations, the dashboards hammering the warehouse — and leave the rest of your stack exactly where it is. Same SQL, same open data, a fraction of the cost.

    Live in daysnot a migration project
    Runs alongsideyour warehouse stays
    $0.09per TPC-H 1 TB run

    Apache-2.0. Every feature included. No license keys or per-vCPU software fees.

    hardcharger-server (local development)
    # your 3 priciest scheduled queries
    warehouse bill: $$$$ (top 10% of spend)
    → point Hardcharger at just those
    same SQL, same tables, your cloud
    warehouse keeps everything else
    new cost on those jobs: a fraction
    Derived from TPC-H: 22 queries at scale factor 1000 (1 TB)
    Total seconds, lower is better. AWS r9gd.24xlarge (Graviton5, 96 vCPU, 742 GiB, 3 × 1.9 TB NVMe), AWS on-demand at $7.69/h. Measured October 20, 2026.
    1. GizmoSQL 1.42.0 · DuckDB 1.5.677.0 s · $0.164
    2. Hardcharger 2.0.0 · DuckDB 2.0.042.4 s · $0.090

    Cost per full run: the run’s seconds at the machine’s AWS on-demand price; a cloud cost, not a TPC price/performance metric. Same machine type and data for every server.

    This workload is derived from the TPC-H Benchmark and is not comparable to published TPC-H Benchmark results, as this implementation does not comply with all requirements of the TPC-H Benchmark. Deviations: only the 22 queries are run (no refresh functions, no power or throughput test), timed as the sum of per-query means over three runs, without an audit. TPC, TPC Benchmark and TPC-H are trademarks of the Transaction Processing Performance Council (TPC).

    Giant table scans

    The full-table aggregations that scan terabytes and dominate the bill.

    Scheduled batch jobs

    Nightly rollups and ETL that run on a timer whether anyone is watching or not.

    Always-on BI dashboards

    Dashboards that hit the warehouse live all day. Serve them from Hardcharger instead.

    No rip and replace

    Keep Snowflake or BigQuery for everything that is fine today. Only the costly jobs move.

    Live in days, not a project

    Same SQL and the same tables. Repoint a few jobs, not a quarter-long migration.

    Same data, your cloud

    Reads your existing open formats in place. Nothing to re-ingest, nothing leaves your infra.

    Offloading warehouse workloads — FAQ

    Do I have to migrate my whole warehouse to save money?

    No. In most accounts a handful of scan-heavy workloads drive the majority of the bill. Point Hardcharger at just those — the giant scans, scheduled aggregations, and always-on dashboards — and keep Snowflake or BigQuery for everything else.

    What should I move first?

    Start with the recurring, scan-heavy work: full-table aggregations, nightly rollups and ETL that run on a schedule, and BI dashboards that hit the warehouse all day. They are the top of the bill and the easiest to repoint.

    How long does it take to offload a workload?

    Days, not quarters. Hardcharger speaks standard SQL and reads Parquet, Iceberg, Delta, and DuckLake in place on your object storage, so moving a workload is a repoint — not a re-ingestion or a rewrite.

    How much will I actually save?

    Our 1 TB workload derived from TPC-H ran all 22 queries in 42.4 seconds for $0.09 of AWS compute on one machine with Hardcharger 2.0.0. Infrastructure, storage and managed-service costs vary; measure your own workloads.

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