for your information

For data teams & enterprise

Pipe official NZ data into your stack. Snowflake zero-copy share, unlimited API with Python and R clients, written SLA, and direct support.

Talk to us Pricing details →

Three ways into your stack

Pick the path that matches your infrastructure. Same warehouse, same schemas, same licences.

❄

Snowflake data share

Zero-copy, read-only Iceberg tables in your Snowflake account. You pay your own compute; we don't sit in the data path. Best fit for warehouse-first teams.

CREATE DATABASE eolas
  FROM SHARE MRWTYQY-WZ79363.vs_warehouse_share;

SELECT * FROM eolas.rbnz.rbnz_b1_exchange_rates_monthly
WHERE date >= '2020-01-01';

Queryable from Tableau, dbt, Power BI, Sigma, Mode — anything that talks Snowflake.

Full setup guide →
🐍

Python, R, and CLI

Not on Snowflake? Schedule a job with the maintained clients — pandas DataFrames, R tibbles, or CSV/Parquet via the CLI. Same data as the share.

pip install eolas-data
from eolas_data import Client
df = Client(key).get("rbnz_b1_exchange_rates_monthly",
                     start="2020-01-01")

# Or: eolas get rbnz_b1_exchange_rates_monthly --format parquet

Wire into Airflow, Prefect, cron, ADF HTTP, or any runner that can call Python or HTTPS. Python docs → · R docs →

🔌

REST API (unlimited)

Same API as Pro, no monthly cap or row cap. Use it from any ETL platform that can make an authenticated HTTP request.

curl -H "X-API-Key: $KEY" \
  "https://api.eolas.fyi/v1/datasets/rbnz_b1_exchange_rates_monthly/data"

# Streaming response for huge tables.

Plus a written SLA — typically 99.5% monthly uptime. Summary →

Not on Snowflake?

Most enterprise stacks load eolas the same way they load any other HTTP data source: a scheduled job with the Python client, the CLI, or a raw REST call into your warehouse. We help wire that on onboarding.

Recommended default: daily (or weekly) job using eolas-data or eolas get … --format parquet, then load with your existing COPY / MERGE / dbt pattern.

Orchestrators: Airflow, Prefect, ADF, GitHub Actions, or cron — anything that can run Python or shell.

BI without a warehouse job: Power BI, Excel, and notebooks can call the API or clients directly for smaller extracts.

Experimental config scaffolds for Meltano, Fivetran Connector Builder, and Azure Data Factory exist for teams that need them — available on request, not the primary integration path. Prefer the clients or Snowflake share for production.

Procurement-ready

We've answered the usual security questionnaire questions on a public page so your procurement team can self-serve.

  • Data lineage: Every dataset shows its source URL + licence. See security §1.
  • Hosting: AWS Sydney (Fargate + RDS), open Iceberg format. Details →
  • SLA: Written agreement, typically 99.5% monthly. Refresh-cadence guarantees per dataset. Public summary →
  • Incident response: Auto-paging on alert; 72hr customer notification policy. Details →
  • Vendor questionnaire: Happy to fill one in on request. Typical turnaround: 2 working days.

Pricing

Enterprise is custom — priced by usage, data volume, support tier, and whether you need the Snowflake share. Typical entry point: $500/mo.

Get a quote

Email response within one working day.