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Parabola

by Parabola Inc

Cloud Free Tier freemium API Available

No-code data workflows for non-technical teams Parabola is a visual data workflow tool that lets anyone automate manual data tasks without coding. Users can drag and drop steps to pull data from APIs, spreadsheets, and databases, transform it using built-in functions, and push the results to downstream tools.

Performance Scores

7.1

2 rankings evaluated

Score range: 6.8 – 7.3

Key Facts

pricing

pricing facts about Parabola
AttributeValueAs ofSource
Parabola pricing (July 2026)Parabola pricing (verified July 2026) moved to a credit model: Basic (Free, 1 user, 1,000 credits/month, pay-as-you-go overage), Collaborator $400/month flat (up to 3 users, 30,000 credits), Business (custom). The earlier row-based Plus/Advanced tiers no longer appear; no annual pricing is published.Jul 2026Parabola pricing

Core Features

Core Features facts about Parabola
AttributeValueAs ofSource
ApproachVisual canvas workflows built as auditable AI agents; processes can be described in natural languageJul 2026Parabola homepage

General

General facts about Parabola
AttributeValueAs ofSource
Free Tier1,000 credits/month on free Basic plan (credit-based, 1 user, pay-as-you-go overage)Jul 2026Parabola pricing page
Target UsersOperations and finance teams in e-commerce, logistics, and supply chainJul 2026Parabola homepage
Founded2018May 2026Parabola
Supported Data Sources80+May 2026Parabola
Free Tier LimitRow limits replaced by credit metering; free Basic plan includes 1,000 credits/monthJul 2026Parabola pricing page
Target AudienceOperations and finance teamsJul 2026Parabola homepage
Customer CountVendor no longer publishes a customer/team count; homepage cites 30,000+ agents deployed and 25M+ agent runs as of July 2026Jul 2026Parabola homepage
Series B FundingRaised $24 million Series B in June 2023 led by OpenView (Matrix Partners led the earlier $8M Series A), total funding $34.2 millionJul 2026TechCrunch
Primary Use CaseAI agents for operations and finance teams: inventory reconciliation, order management, PO/invoice automation, parcel invoice auditing, and financial close processes in e-commerce, logistics, and supply chainJul 2026Parabola homepage

Strengths

  • Visual flow builder approachable for non-technical operations teams
  • AI agents layer automates recurring ops/finance data work
  • Connections to 1,000+ data sources (company figure, 2026)
  • Visual flow builder chains spreadsheet-style steps without SQL or scripts
  • Native connectors for Shopify, Amazon Seller Central, and warehouse APIs
  • Scheduled and webhook-triggered runs with versioned flow history
  • Strong fit for operations teams replacing fragile Google Sheets scripts

Limitations

  • Repositioning toward AI agents makes the ETL scope secondary
  • Not built for engineering-scale pipelines or version control
  • Row-based processing scales less efficiently than SQL on very large datasets
  • Paid plans start at $80/month, higher entry point than lightweight tools
  • Limited real-time streaming support — most flows are batch-oriented

Based on evaluations in 2 rankings: Best ETL & Data Pipeline Tools 2026, Best Spreadsheet & Data Automation Tools 2026

Pricing Plans

Basic (Free)

Free

1 user; pay-as-you-go overage

  • Full builder, all steps
  • !1,000 credits/mo
Get started →
As of Jul 2026 · Source
Most Popular

Collaborator

$400.00/mo

$400/mo flat, up to 3 users

  • Scheduled triggers, all integrations
  • Team collaboration
  • !30,000 credits/mo
Get started →
As of Jul 2026 · Source

Business

Contact us

Custom (contact sales)

  • Custom credits, SSO
  • Dedicated support, SLA
Get started →
As of Jul 2026 · Source

About Parabola

Parabola is a visual data workflow tool that lets anyone automate manual data tasks without coding. Users can drag and drop steps to pull data from APIs, spreadsheets, and databases, transform it using built-in functions, and push the results to downstream tools. Parabola is ideal for operations, marketing, and analytics teams working with recurring data processes.

Integrations (4)

Airtable native
Google Sheets native
Shopify native
Slack api

Written & reviewed by Rafal Fila · Last updated: · Last verified:

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Questions About Parabola

What does Parabola cost in 2026? Pricing tiers and plans explained

Parabola moved to a credit-based model in 2026. As of July 2026 the tiers are Basic (Free — 1 user, 1,000 credits/month, pay-as-you-go overage), Collaborator ($400/month flat for up to 3 users, 30,000 credits/month), and Business (custom). The earlier row-based Plus (~$80) and Advanced (~$350) tiers no longer appear on the pricing page, and no annual pricing is published. Parabola remains a cloud-only visual data-workflow tool aimed at non-technical operations teams.

Airtable vs Smartsheet: which is better for automation in 2026?

Airtable wins on flexibility and developer integrations with a rich API, 50+ field types, and native automations for small-to-medium teams. Smartsheet wins on enterprise project management with Gantt charts, resource management, and proofing workflows for larger organizations. For automation specifically, Airtable's scripting extension and webhook support offer more customization, while Smartsheet's Bridge module provides enterprise-grade workflow automation with IT governance features.

What is spreadsheet automation?

Spreadsheet automation uses software to automate data entry, calculations, reporting, and workflows that traditionally rely on manual spreadsheet manipulation. Modern spreadsheet automation tools (Airtable, Smartsheet, Parabola) provide database-backed tables with built-in automation triggers, API connections, and workflow logic that extend beyond traditional Excel/Google Sheets capabilities. Common applications include automated reporting, data pipeline synchronization, inventory tracking, and approval workflows.

Is Parabola worth it for no-code data automation in 2026?

Parabola earns 7.0/10 for no-code data workflow automation, excelling at visual data transformation but limited by its niche focus on data-centric tasks. Best suited for operations and analytics teams processing data from multiple sources without engineering support.

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