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Databar review

#9 of 31 in Data Enrichment Software

A table-first enrichment platform with waterfall providers and extensive developer access.

8.5/10Editor score
Databar8.5 Visit Databar

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Databar is a spreadsheet-style data platform for sales, revenue operations, marketing, recruiting, and other teams that need structured enrichment workflows. Its tables use columns, filters, and cell-level enrichment statuses, while supported enrichment types include email, phone, person, company, firmographic, technographic, funding, hiring, and web research. The platform is available through the web, Chrome Extension, and API, with CRM exports and integrations for HubSpot, Salesforce, and Pipedrive.

Pricing is straightforward but starts above entry-level tools. The Build plan costs $99 per month and includes 5,000 credits, CRM and email integrations, bring-your-own API keys, up to five custom HTTP APIs, and batch enrichment for up to 10,000 rows. Scale costs $495 per month and raises the allowance to 50,000 credits, with unlimited HTTP APIs and bring-your-own keys, custom rate limits, a turbo queue, dedicated infrastructure, and unlimited team members. Enterprise uses custom credits per month and adds personal support, frequent schedulers, and access to the Databar SDK. The site also offers 100 free trial credits, but there is no free plan.

Developer and workflow depth are Databar's clearest differentiators. Alongside its REST API, the platform provides a Python SDK, CLI, and MCP server, plus webhooks, scheduled or conditional automations, Google Sheets, n8n, and custom APIs. Waterfall enrichment can move sequentially across providers, while the Chrome Extension collects structured website data and AI Researcher features support configurable prompt templates. Choose Databar if table-based operations, provider fallback, CRM connectivity, and developer tooling matter together. Teams seeking a free product, a simpler enrichment workflow, or clearly stated data-freshness information should consider alternatives.

Databar pros and cons

  • Where it wins
    • Waterfall enrichment adds sequential provider fallback
    • REST API, Python SDK, CLI, and MCP support developer workflows
    • CRM, Chrome, AI research, and automation features extend table workflows
  • Where it doesn't
    • Starts at $99 per month with no free plan
    • Scale is required for unlimited HTTP APIs and team members
    • Data freshness is not specified

Databar fact sheet, pricing and score →

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