Databricks vs LlamaIndex
Databricks leads in package downloads at 9x; Databricks has raised more funding at $20.0B; Databricks leads in active contributors with 1 (30d); LlamaIndex leads in code adoption with 1.5K repos importing; Databricks leads in job demand with 1 mentions. Updated daily with live metrics.
Databricks: 4.1M downloads/mo (+34%), 531 GitHub stars, 1 active contributors, 93 repos importing, $20.0B funded vs
LlamaIndex: 452.5K downloads/mo (+26%), 47.8K GitHub stars, 1 active contributors, 111 dependents, 1.5K repos importing, $85K funded
Source: AI-Buzz Developer Adoption Index (DAI). Updated daily from 12 data sources.
Downloads (30d)
Disclosed Funding
GitHub Stars
Package Dependents
Repos Importing (code adoption)
HN Mentions (30d)
Momentum (0-100)
Key Differences
For production adoption: LlamaIndex is depended on by 757 packages versus 235 for Databricks. Databricks leads in package downloads with 4.1M per month compared to 452.5K for LlamaIndex (Databricks +34% MoM, LlamaIndex +26% MoM). LlamaIndex appears in 1.5K GitHub repositories compared to 93 for Databricks.
For growth trajectory: LlamaIndex has 47.8K GitHub stars versus 531 for Databricks. Databricks received 1 Hacker News mentions in the last 30 days.
For longevity/risk: Databricks has raised $20.0B in total disclosed funding, while LlamaIndex has raised $85K. Databricks's most recent round was Venture, while LlamaIndex's most recent round was Seed. Databricks attracted 1 active contributors in the last 30 days compared to 1 for LlamaIndex. Databricks operates in AI Infrastructure while LlamaIndex focuses on Foundation Models.
Bottom Line
Databricks leads on developer adoption with 4.1M monthly package downloads. LlamaIndex counters with 47.8K GitHub stars, reflecting strong developer awareness. For a deeper look, visit each company's full profile for trend charts, funding rounds, and community sentiment data.
← Scroll to compare →
| Metric | Updated Mar 18 | Updated Mar 18 |
|---|---|---|
| Website | databricks.com → | llamaindex.ai → |
| Description | Data and AI platform, creator of MLflow and Dolly | Framework for building LLM applications with RAG. Data framework for AI. |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | $20.0B✓ | $85K |
| Last Funding | Venture Feb 2026 | Seed Jun 2023 |
| Developer Adoption | ||
| Momentum | 55Moderate✓ | 47Moderate |
| npm Registry Downloads (30d) Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 0 | 0 |
| npm Trend (30d) | - | |
| PyPI Registry Downloads (30d) Source: PyPI (Google BigQuery)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 4.1M✓ | 452.5K |
| PyPI Trend (30d) | ||
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | 4.1M+34%✓ | 452.5K+26% |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | 1✓ | 1 |
| Contributors Trend | 0% | -50% |
| npm Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct and dev dependents | N/A | 111✓ |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | 235 | 646✓ |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksExclusive | 93 | 1.5K✓ |
| HN Discussion Share Source: Hacker News (Algolia API)Updates: DailyNote: Share of HN mentions within the company's primary category | 1.9% of HN mentions | 0.2% of HN mentions |
| Status | Unknown | Private |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | 1✓ | 0 |
| Reddit Mentions (30d) Source: Reddit (search API)Updates: DailyNote: Counts posts/comments mentioning the company by nameExclusive | 0 | 2✓ |
| Job Mentions (30d) Source: Job board aggregationUpdates: DailyNote: Counts job listings mentioning the company's technologyExclusive | 1✓ | 1 |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks — a popularity signal, not a usage indicator | 531 | 47.8K✓ |
| Founded | 2013 | 2022 |
| Primary Category | ||
| Data Last Updated | ||
Frequently Asked Questions
- Which has more developer adoption, Databricks or LlamaIndex?
- Databricks has 4.1M package downloads per month, making it the more widely adopted tool among developers.Databricks profile →
- Which has more real-world code adoption, Databricks or LlamaIndex?
- LlamaIndex appears in 1.5K GitHub repositories that import its packages, compared to 93 for Databricks. This metric is exclusive to AI-Buzz.How we measure code adoption →
- Which is mentioned more in job listings, Databricks or LlamaIndex?
- Databricks appeared in 1 job listings in the last 30 days, compared to 1 for LlamaIndex. Job mention data is tracked exclusively by AI-Buzz.How we track job mentions →
- Which is growing faster, Databricks or LlamaIndex?
- Databricks has a momentum score of 55/100, indicating moderate growth trajectory. Momentum is calculated from download trends, GitHub activity, and community signals.Developer Adoption Index →
- Which company has more funding, Databricks or LlamaIndex?
- Databricks has raised $20.0B in total disclosed funding.AI funding data →
Download comparison data
Source: AI-Buzz Developer Adoption Index. Free to use with attribution.
Select Companies to Compare
Related Comparisons
Related Articles
Weekly AI Intelligence
Which AI companies are developers actually adopting? We track npm and PyPI downloads for hundreds of companies. Get the biggest shifts delivered weekly.