Comparison
crate vs Agent-Reach
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 Agent-Reach if agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content.
Markdown twin · crate alternatives · Agent-Reach alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | crate | Agent-Reach |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Very active (4d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- Agent-Reach
- AI Agent for Automated Web and Social Media Data Extraction
Stars
- crate
- 4.4k
- Agent-Reach
- 84k
Forks
- crate
- 617
- Agent-Reach
- 7.3k
Open issues
- crate
- 325
- Agent-Reach
- 153
Language
- crate
- Java
- Agent-Reach
- Python
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.
- Agent-Reach
- Agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content.
Persona
- crate
- -
- Agent-Reach
- -
Runtime
- crate
- -
- Agent-Reach
- -
License
- crate
- Apache-2.0
- Agent-Reach
- MIT
Last pushed
- crate
- Sep 18, 2026
- Agent-Reach
- Sep 15, 2026
Categories
- crate
- Data & Retrieval, Vector Databases
- Agent-Reach
- AI Agents, Data & Retrieval
Trust and health
Days since push
- crate
- 1d
- Agent-Reach
- 4d
Open issues (now)
- crate
- 325
- Agent-Reach
- 153
Stars delta
- crate
- +20 (30d)
- Agent-Reach
- +23k (30d)
Open issues delta
- crate
- +8 (30d)
- Agent-Reach
- -15 (30d)
Owner type
- crate
- Organization
- Agent-Reach
- User
Full report
- crate
- Trust report
- Agent-Reach
- Trust report
Choose crate if…
- crate is primarily Java; Agent-Reach is Python.
- License: crate is Apache-2.0, Agent-Reach is MIT.
- Tags unique to crate: analytics, big-data, cratedb, database.
- Also covers Vector Databases.
- - 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 Agent-Reach if…
- Agent-Reach is primarily Python; crate is Java.
- License: Agent-Reach is MIT, crate is Apache-2.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents.
- When needing to bypass costly API fees for extensive social media platform data extraction
When NOT to use Agent-Reach
- If strict compliance with website scraping policies is critical due to its use of scraping techniques
- When direct interaction through APIs for precision and reliability is preferred over scraping
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 Sep 20, 2026
- GitHub forks (crate/crate) · observed Sep 20, 2026
- Last push (crate/crate) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Panniantong/Agent-Reach) · observed Sep 20, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Sep 20, 2026
- Last push (Panniantong/Agent-Reach) · observed Sep 15, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: crate 4.4k · Agent-Reach 84k (synced Sep 20, 2026).
Common questions
- What is the difference between crate and Agent-Reach?
- crate: Distributed and Scalable SQL Database for Near Real-Time Data Analysis. Agent-Reach: AI Agent for Automated Web and Social Media Data Extraction. See the comparison table for live GitHub stats and shared categories.
- When should I choose crate over Agent-Reach?
- Choose crate over Agent-Reach when crate is primarily Java; Agent-Reach is Python; License: crate is Apache-2.0, Agent-Reach is MIT; Tags unique to crate: analytics, big-data, cratedb, database; Also covers Vector Databases; - When you require a SQL-compliant database with the flexibility of distributed architecture that can scale horizontally.
- When should I choose Agent-Reach over crate?
- Choose Agent-Reach over crate when Agent-Reach is primarily Python; crate is Java; License: Agent-Reach is MIT, crate is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents; When needing to bypass costly API fees for extensive social media platform data extraction.
- 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 Agent-Reach?
- If strict compliance with website scraping policies is critical due to its use of scraping techniques When direct interaction through APIs for precision and reliability is preferred over scraping
- Is crate or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (83,516 vs 4,436). Stars measure visibility, not whether either tool fits your constraints.
- Are crate and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (crate: Apache-2.0, Agent-Reach: MIT).
- Where can I find alternatives to crate or Agent-Reach?
- GraphCanon lists graph-backed alternatives at crate alternatives and Agent-Reach alternatives (crate markdown twin, Agent-Reach 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 Agent-Reach?
- crate: Very active. Agent-Reach: Very active. 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 Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: crate trust report; Agent-Reach trust report.