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SPECIFICTION
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Default vs OpenRefine

Default

default.com

OpenRefine

openrefine.org

Side by side

FigureDefaultOpenRefine
Price from$1,250/moFree
Free plan—Yes
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYes—
Self-hosted—Yes
Plans published21
Spec score · Data Cleansing Software7.8 (#12)7.9 (#11)
IntegrationsListed integrations include Salesforce, HubSpot, Slack, Google Calendar, Outlook Calendar, Zoom, Zapier, Snowflake, and many other tools.OpenRefine can upload data to Google Sheets and create or update statements on Wikidata.
SupportGrowth includes a shared Slack support channel, while Scale includes a named contact, regular calls, and a shared Slack channel.The project provides support through its forum, GitHub, community calls and Gitter chat.

Plans

Default

  • Growth$1,250 a month
  • Scale$3,000 a month

Default pricing →

OpenRefine

  • Free open-source softwareFree

OpenRefine pricing →

In their own words

Default

Default is a paid platform for managing workflows, enriching records, routing leads, and scheduling meetings. Inbound automation can enrich and qualify demo submissions, route leads, show scheduling links, and add contacts to nurture sequences. Outbound workflows can use website intent signals and account research to identify whom to contact and why. Integrations include Salesforce, HubSpot, Slack, Google Calendar, Outlook Calendar, Zoom, Zapier, Snowflake, and enrichment providers such as Apollo.io, Clearbit, People Data Labs, Wiza, and Parallel. Plans allow unlimited workflow building, but workflow runs are metered and included runs roll over during the annual agreement. Enrichment calls consume credits, while website visitor identification uses three credits per identified visitor once. Growth is for go-to-market teams; Scale targets high-volume revenue organizations. Growth costs $1,250 a month billed annually, and Scale costs $3,000 a month billed annually. There is no free plan.

Visit default.com

OpenRefine

OpenRefine is a free, open-source tool for cleaning, transforming, and extending messy data. It works on the user's machine rather than sending data to a cloud service, and basic functions can run offline through a small web server on that computer. Facets help explore large datasets and apply changes to filtered views. Clustering uses heuristics to find similar values and address inconsistencies; reconciliation matches values to external databases through reconciliation services. Users can undo and redo operations without a stated history limit. OpenRefine imports formats including CSV, TSV, fixed-width text, JSON, XML, spreadsheets, PC-Axis, MARC, RDF formats, and Wikitext. It can also upload data to Google Sheets and create or update Wikidata statements. Releases are available for Windows, Mac, and Linux. Java must be installed and configured, although the Mac version and some Windows packages include it. Data is not encrypted by default; operating-system full-disk encryption can protect it. The project offers support through its forum, GitHub, community calls, and Gitter chat.

Visit openrefine.org