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RevenueBase delivers structured B2B data through Dynamic Data Feeds — continuously updated datasets on a monthly cadence. Choose the delivery method that fits your infrastructure:
  • AWS S3 — RevenueBase grants your AWS account access to an S3 bucket. Data is delivered as CSV, JSON, or Parquet files in date-stamped folders.
  • Snowflake — RevenueBase shares data directly to your Snowflake account via Snowflake Data Sharing. Tables are immediately queryable with no file management required.
Azure and GCP delivery — Access through Google Cloud Storage and Azure Blob Storage is available. File format options (CSV, JSON, Parquet) and delivery cadence are the same as S3. Contact your account manager or support@revenuebase.ai for details.
After you provide your account details, RevenueBase will provision access and deliver your first dataset — typically within 1–2 business days.

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Available tables

Your RevenueBase subscription includes access to the following tables, depending on your plan. In Snowflake, these appear under the RELEASES database. For S3 deliveries, each table corresponds to a dataset folder in your bucket. For full schema and field reference, see Person, Organization, Insights, and Historical experience.

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Person table (per)

The core contact-level table. Each row represents a person at a specific organization.
If someone holds multiple current positions, they will have multiple rows in the person table — each with a unique RBID_PAO but sharing the same RBID_PER.
RBID_ORG and RBID_PAO may be missing if the person’s LinkedIn profile does not link to a company page. This occurs because the company name field on LinkedIn is free text — people can enter anything and may skip linking to an existing company page.
Snowflake path: RELEASES.RELEASE.PER_LATEST S3 path: <delivery_date>/per/<format>/

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Organization table (org)

Organization-level data including firmographics, technographics, and metadata. Snowflake path: RELEASES.RELEASE.ORG_LATEST S3 path: <delivery_date>/org/<format>/

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Insights table

Aggregated analytics and derived metrics across people and organizations. Snowflake path: RELEASES.RELEASE.INSIGHTS_LATEST

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Raw feed

The unprocessed, full-fidelity data feed for advanced use cases and custom pipelines. Snowflake path: RELEASES.CUSTOM.RAW_FEED_PER_LATEST

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Pre-joined tables

Pre-joined tables combine multiple core tables so you can query person, organization, and optionally insights in a single view without writing joins. Pre-joined tables is an option you could choose for your subscription instead of separate tables of person, organization, and insights delivered to you.

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Person and Organization

Pre-joined table containing people and organization data in one view. Snowflake path: RELEASES.RELEASE.VELOCITY_BASE_UNLIMITED_LATEST S3 path: <delivery_date>/velocity_base_unlimited/<format>/

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Person, Organization, and Insights

Pre-joined table containing people, organization, and insights data in one view. Snowflake path: RELEASES.RELEASE.VELOCITY_ENHANCED_UNLIMITED_LATEST S3 path: <delivery_date>/velocity_enhanced_unlimited/<format>/

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Next steps

AWS S3 setup

Grant your AWS account access, verify credentials, and locate your data files.

Snowflake setup

Accept a Snowflake Data Share and start querying tables immediately.

Data Freshness & Quality

How verification works, why records become stale, and quality assessment guidance.