Comparison
crate vs llm-app
Verdict
Pick crate if crateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing; pick llm-app if llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz.
Markdown twin · crate alternatives · llm-app alternatives
GraphCanon updated 4d
Trust & integrity
| Signal | crate | llm-app |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1mo · github_public_v1 | Steady (41d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1mo · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- crate
- Distributed and Scalable SQL Database for Near Real-Time Data Analysis
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
Stars
- crate
- 4.4k
- llm-app
- 59k
Forks
- crate
- 603
- llm-app
- 1.5k
Open issues
- crate
- 317
- llm-app
- 8
Language
- crate
- Java
- llm-app
- Jupyter Notebook
Adopt for
- crate
- CrateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing.
- llm-app
- llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz
Persona
- crate
- -
- llm-app
- -
Runtime
- crate
- -
- llm-app
- -
License
- crate
- Apache-2.0
- llm-app
- MIT
Last pushed
- crate
- Jul 21, 2026
- llm-app
- Jul 5, 2026
Categories
- crate
- Data & Retrieval, Vector Databases
- llm-app
- Data & Retrieval, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- crate
- Very active (96%)
- llm-app
- Steady (60%)
Days since push
- crate
- 0d
- llm-app
- 41d
Open issues (now)
- crate
- 317
- llm-app
- 8
Stars delta
- crate
- Unknown
- llm-app
- +11 (30d)
Open issues delta
- crate
- Unknown
- llm-app
- -2 (30d)
Full report
- crate
- Trust report
- llm-app
- Trust report
Choose crate if…
- crate is primarily Java; llm-app is Jupyter Notebook.
- License: crate is Apache-2.0, llm-app is MIT.
- Tags unique to crate: analytics, big-data, cratedb, database.
- - When you require a SQL-compliant database with the flexibility of distributed architecture that can scale horizontally.
When NOT to use crate
- - Avoid if your application environment strictly mandates a specific type of database that isn’t PostgreSQL-compliant, and requires custom integrations.
- - Not suitable for applications needing absolute transactional guarantees with strict ACID compliance at the expense of performance.
Choose llm-app if…
- llm-app is primarily Jupyter Notebook; crate is Java.
- License: llm-app is MIT, crate is Apache-2.0.
- Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others..
- Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation.
- Also covers LLM Frameworks.
- - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
When NOT to use llm-app
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app.
- - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (crate/crate) · observed Jul 21, 2026
- GitHub forks (crate/crate) · observed Jul 21, 2026
- Last push (crate/crate) · observed Jul 21, 2026
- License file (Apache-2.0) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pathwaycom/llm-app) · observed Aug 16, 2026
- GitHub forks (pathwaycom/llm-app) · observed Aug 16, 2026
- Last push (pathwaycom/llm-app) · observed Jul 5, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: crate 4.4k · llm-app 59k (synced Jul 21, 2026).
Common questions
- What is the difference between crate and llm-app?
- crate: Distributed and Scalable SQL Database for Near Real-Time Data Analysis. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose crate over llm-app?
- Choose crate over llm-app when crate is primarily Java; llm-app is Jupyter Notebook; License: crate is Apache-2.0, llm-app is MIT; Tags unique to crate: analytics, big-data, cratedb, database; - When you require a SQL-compliant database with the flexibility of distributed architecture that can scale horizontally.
- When should I choose llm-app over crate?
- Choose llm-app over crate when llm-app is primarily Jupyter Notebook; crate is Java; License: llm-app is MIT, crate is Apache-2.0; Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.; Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation; Also covers LLM Frameworks; - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
- When should I avoid crate?
- - Avoid if your application environment strictly mandates a specific type of database that isn’t PostgreSQL-compliant, and requires custom integrations. - Not suitable for applications needing absolute transactional guarantees with strict ACID compliance at the expense of performance.
- When should I avoid llm-app?
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app. - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
- Is crate or llm-app more popular on GitHub?
- llm-app has more GitHub stars (59,037 vs 4,416). Stars measure visibility, not whether either tool fits your constraints.
- Are crate and llm-app open source?
- Yes - both are open-source projects on GitHub (crate: Apache-2.0, llm-app: MIT).
- Where can I find alternatives to crate or llm-app?
- GraphCanon lists graph-backed alternatives at crate alternatives and llm-app alternatives (crate markdown twin, llm-app markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, crate or llm-app?
- crate: Very active. llm-app: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for crate and llm-app?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: crate trust report; llm-app trust report.