For teams on Google BigQuery

    Your BigQuery bill is out of control. It doesn’t have to be.

    BigQuery charges by data scanned, so one heavy dashboard or a bad SELECT * can spike your bill overnight. Move your most expensive workloads to Hardcharger and cut that spend by 50%+ — faster queries, no per-vCPU software fee, running in your own cloud.

    Apache-2.0 · All features included · Your data never leaves your cloud · No bill shock

    Scan-based pricing punishes exactly the workloads you run most.

    BigQuery bills per terabyte scanned. Recurring dashboards, large joins, and high-frequency queries scan the same data again and again, and the bill climbs with no change in value delivered. Finance sees it 30 days too late. That is the workload to move first.

    Same benchmark. A fraction of the bill.

    A measured 1 TB workload derived from TPC-H, with the full methodology and compute cost.

    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).

    You don’t have to leave BigQuery. Just offload the expensive part.

    Keep BigQuery where it works. Move the costly, scan-heavy workloads to Hardcharger and watch that slice of the bill collapse. Low risk, fast payback.

    01

    Find the costly workloads

    We identify the recurring dashboards and heavy queries driving most of your BigQuery spend.

    02

    Move them to Hardcharger

    Standard SQL, so your queries and dashboards come along. It runs in your own cloud, on Kubernetes or a single VM.

    03

    Cut that bill 50%+

    No software license fee. You pay for the compute and storage you run; measure savings against your actual workload.

    Cutting your BigQuery bill — FAQ

    Why is my BigQuery bill so high?

    BigQuery bills per terabyte of data scanned, so recurring dashboards, large joins, high-frequency queries, and the occasional SELECT * scan the same data again and again — and the bill climbs with no change in value delivered. Finance usually sees the spike 30 days too late.

    How much cheaper is Hardcharger than BigQuery?

    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.

    Do I have to leave BigQuery entirely?

    No. Keep BigQuery where it works. The play is to offload only the expensive, scan-heavy workloads — recurring dashboards and heavy queries — to Hardcharger, and watch that slice of the bill collapse. Low risk, fast payback.

    Will my existing queries and dashboards work?

    Hardcharger uses Warp SQL over HTTP, with native ADBC, JDBC and JavaScript clients. Use dbt-hardcharger for dbt and the Hardcharger MCP server for AI assistants. Check SQL dialect differences and client compatibility when migrating.

    Cut your BigQuery bill 50%+, guaranteed.

    Our engineers migrate your most expensive workloads and cut that compute bill by 50%+ — or you don’t pay for the sprint.

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