SkillsDBvsLightcast

A regional utility's workforce planning team brings the market data to the quarterly review. Demand for grid automation and SCADA skills in its region is up sharply, postings are sitting open for months, and the market rate for an experienced engineer has climbed well past the internal band. The recommendation is to budget for eight external hires. The data is sound.

In SkillsDB, the same review looks different. Engineering and operations managers have assessed their teams against the grid automation role. Five people are already at Level 3 or above on SCADA configuration and have been doing the work under other titles. Fourteen are at Level 2, one level short, with the adjacent skills in place.

The budget changes. Five internal moves now, three external hires for the skills nobody has, and fourteen development plans aimed at the one level each person is missing. The market data set the target and the price. The assessed data showed how much of it was already on the payroll.

Lightcast is the reference dataset for the labor market. The company states more than 18 billion data points drawn from job postings, professional profiles, and government statistics, coverage of 165 countries representing 99 percent of world GDP, and more than 25 years of aggregating that data. Its products span the Analyst platform and its modules, Talent Analyst, Career Coach, Labour Insight, Talent Transform, and API delivery, serving enterprise, education, and public-sector buyers. When you need to know what a skill is worth in a metro, which titles are hiring for it, or how demand has shifted over five years, this is where the industry looks.

Its skills taxonomy is also widely adopted as a common language for describing external demand. For workforce planners, economic developers, and program designers in education, having every posting and profile mapped to the same open vocabulary is the point. Lightcast displays ISO, GDPR, CCPA, and TX-RAMP compliance on its site. It does not claim, and does not offer, an internal employee assessment product.

The market vs your people. A Lightcast skill is a demand signal aggregated from millions of postings. A SkillsDB skill on a person's record is a graded level on an anchored scale, with the assessor, the method, and the date. SkillsDB can bootstrap that record from imported or inferred data and can align its library to an external taxonomy, but the record only becomes useful once it is assessed. Market data tells you what is valued. Assessment tells you where you actually stand. Skills Assessment covers the methods.

Aggregates vs one person, one skill. Lightcast works in occupations, regions, skill clusters, and salary bands. SkillsDB works at the level of one person and one skill: a competency framework in your own terms, assessments against it, gap analysis per person, role, and team, development plans that target a level, and career pathways that show employees what the next role requires. A market dataset cannot tell a manager which of her engineers is ready for the new role, and it is not trying to.

Analytics purchase vs daily system. Lightcast is a data and analytics purchase, often by strategy, workforce planning, or economic-development teams, delivered through platforms and APIs. SkillsDB is a system managers and employees use to assess, see gaps, and follow development plans. See Skills Intelligence Platform for how market data feeds it.

Security posture. Both vendors take this seriously and certify differently. SkillsDB holds a SOC 2 Type II attestation, independently audited by Johanson Group LLP, and is GDPR compliant, with SSO and SCIM provisioning. Lightcast displays ISO, GDPR, CCPA, and TX-RAMP compliance. Ask each vendor for the reports themselves.

Choose Lightcast if…

• The question is external: what skills the market is paying for, where talent supply sits, and how a role's requirements are shifting.
• You design education or workforce-development programs against labor demand, or benchmark compensation and talent supply across regions.

Choose SkillsDB if…

• You have the market data and the build-or-buy meeting still ends in guesswork, because nobody knows how much of the skill you already have.
• You want your competency framework in your own terms, mapped to your roles, with market data as an input rather than the model.
• You need to show that development spending moved people up a level, not just that it was spent.
• Your security review expects a SOC 2 Type II report and your IT team expects SCIM provisioning, and you want both answered in week one.

This is a natural pairing rather than a choice. Lightcast tells you which skills are rising in your industry and region and what they cost to hire. SkillsDB tells you, person by person, who holds them today and at what level, and runs the development plans that close the gap. Market data sets the target. Assessed data measures the distance to it. Organizations that run both stop debating whether a gap exists and start debating how to close it.

Integration runs through the APIs. Lightcast skills and demand signals can inform the SkillsDB library and role requirements, and assessed levels and gaps flow out of SkillsDB to the HCM or planning layer. Skills Inventory describes what the per-person record has to hold for the two to reconcile.

• Pick the skill the market data says is hardest to hire. Show me who in our workforce has it today, at what level, and how you know.
• Which questions are external (market demand, supply, pay) and which are internal (who can do this today, at what level)? Buy for each.
• Can the internal system hold a proficiency level per person per skill with the assessor, method, and date?
• Can our competency framework be written in our terms and still map to an external taxonomy for benchmarking?
• When a gap appears, what happens next? Is a development plan created from it, and how is progress measured?
• How do the two systems exchange role requirements and skill records, and who owns the mapping?