Programming Language Technographic Data | 332 Platforms, 1M+ Records | SparkDBi
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Programming language technographic data identifies which companies build their software on specific languages and frameworks. SparkDBi tracks 332 programming language and framework platforms across 1,002,886 verified company install records, the most concentrated category by platform count in SparkDBi's technographic database.
How Teams Use Programming Language Technographic Data
Developer tools and API platform vendors use this data to identify companies building on a specific language or framework, targeting them with SDKs, libraries, and integrations built for that exact stack.
Staffing and recruiting firms specializing in engineering talent target companies by programming language to identify accounts likely to be hiring for that specific skill set, since engineering team composition closely tracks the underlying tech stack.
Application security and code quality vendors use language-level technographic data to prioritize outreach, since vulnerability classes and tooling needs differ meaningfully between, for example, a PHP-heavy stack and a Python-heavy one.
Platforms and Company Counts
The programming language category spans 332 platforms. The 24 highest-volume platforms by tracked company count:
| Platform | Verified Company Count |
|---|---|
| jQuery | 113,528 |
| PHP | 111,689 |
| Jquery CDN | 111,638 |
| Oracle Java | 111,166 |
| Oracle Java EE (J2ee) | 110,861 |
| Ruby on Rails | 102,823 |
| MS ASP.NET | 85,781 |
| MS ASP.NET MVC | 80,426 |
| Leaflet | 28,387 |
| Python | 28,321 |
| Homestead | 25,351 |
| Divi Framework | 9,129 |
| MS .NET | 7,713 |
| HTML | 6,986 |
| Perl | 4,821 |
| Oracle JavaScript | 3,813 |
| PHP BB | 3,737 |
| IBM Mainframe | 3,513 |
| MS Transact-SQL | 3,476 |
| Adobe ActionScript | 3,235 |
| MS Visual Studio | 2,584 |
| C/C++ | 2,416 |
| AppDynamics Node.js | 2,286 |
| SQL | 2,188 |
Shown above are the 24 highest-volume platforms. The remaining 308 platforms in this category are searchable on the main TechInstall Data Cards page or available filtered on request.
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How This Data Is Sourced and Verified
SparkDBi builds programming language technology profiles from five signal types working together: active network and cloud infrastructure monitoring that identifies which languages and frameworks a company's public-facing technical stack is actually built on, workforce signals mined from job postings, resumes, and professional profiles that surface which languages a company's engineering team actually references, public corporate disclosures including SEC filings and RFP or procurement documents, social and public-web signals, and cross-referencing against SparkDBi's own B2B executive contact database, which ties a detected platform back to a named, verified company rather than an anonymous domain.
Programming language detection benefits more than most categories from public-web signals specifically, since front-end libraries like jQuery and server-side frameworks like Ruby on Rails frequently leave direct, unambiguous markup in a company's public website code, making this one of the more reliably detectable categories overall.
The programming language technographic dataset maintains 95%+ verified accuracy against known company records, refreshed on a bi-monthly cycle as companies adopt or migrate away from specific languages and frameworks.
Market Concentration and Industry Context
Programming language is the most concentrated category in SparkDBi's technographic database. The top 5 platforms account for 55.7% of total tracked volume, and the top 10 account for 88.2%, the highest top-10 concentration of any of SparkDBi's 18 categories. This reflects a genuine feature of the web development market: a small number of languages and libraries power the overwhelming majority of public-facing company websites, while hundreds of other languages each hold a comparatively small footprint.
PHP's strong showing in this dataset lines up closely with independent web technology research. W3Techs data puts PHP at roughly 72% to 79% of websites where the server-side language is known, far ahead of Ruby at under 7%, JavaScript-based server frameworks at under 6%, and ASP.NET at around 4%. A significant share of that dominance traces back to WordPress, which alone powers an estimated 42% to 43% of all websites globally and is itself built on PHP, meaning a large portion of the PHP footprint in this dataset likely overlaps with WordPress usage tracked separately in SparkDBi's Enterprise Applications category.
Market share statistics in this section are drawn from public third-party web technology research (W3Techs), provided as market context alongside SparkDBi's own proprietary install-base counts above, not as SparkDBi-verified figures.
Related Technographic Categories
Frequently Asked Questions
Programming language technographic data identifies which companies build their software on specific languages and frameworks, such as PHP, Python, or Ruby on Rails, so vendors can target accounts by their actual engineering stack.
jQuery carries the largest tracked footprint in this category at 113,528 company records, followed closely by PHP at 111,689 and Oracle Java at 111,166.
Yes. The top 10 programming language platforms account for 88.2% of all tracked volume in this category, the highest concentration of any of SparkDBi's 18 technographic categories.
Yes. Ruby on Rails is tracked separately from general Ruby usage, and MS ASP.NET and MS ASP.NET MVC are tracked as distinct entries from the broader MS .NET platform, so buyers can target specific framework adoption rather than language usage alone.
SparkDBi combines five signal types: active network and cloud infrastructure monitoring, workforce signals from job postings and professional profiles, public corporate disclosures such as SEC filings and procurement records, public-web signals, and cross-referencing against SparkDBi's own B2B executive contact database to confirm the match belongs to a named, verified company.
Yes. SparkDBi provides 50 sample company records filtered to your target platform before any commercial commitment.