RRepoGEO

REPOGEO REPORT · LITE

zenkay/bigdata-ecosystem

Default branch master · commit f027b299 · scanned 6/7/2026, 8:47:54 AM

GitHub: 581 stars · 171 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface zenkay/bigdata-ecosystem, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen README's opening to clarify purpose as a dataset/resource

    Why:

    CURRENT
    Big Data Ecosystem Dataset
Incomplete-but-useful list of big-data related projects packed into a JSON dataset.
    COPY-PASTE FIX
    Big Data Ecosystem Dataset: A comprehensive, machine-readable JSON dataset of big-data related projects, tools, and papers. This repository serves as a curated resource for data engineers, architects, and developers to explore and understand the vast big data landscape, rather than being a big data solution itself.
  • lowlicense#2
    Clarify the existing license(s) in the README

    Why:

    COPY-PASTE FIX
    ## License
This project uses a custom license. Please refer to the [LICENSE file](LICENSE) for full details on the terms and conditions of use.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface zenkay/bigdata-ecosystem
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
apache/hadoop
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. apache/hadoop · recommended 2×
  2. Awesome Big Data · recommended 1×
  3. Databricks · recommended 1×
  4. G2 · recommended 1×
  5. Capterra · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of various big data tools and frameworks?
    you: not recommended
    AI recommended (in order):
    1. Awesome Big Data
    2. Databricks
    3. G2
    4. Capterra
    5. Gartner Peer Insights
    6. Towards Data Science
    7. O'Reilly Media

    AI recommended 7 alternatives but never named zenkay/bigdata-ecosystem. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need to explore different big data solutions; what are the available options and categories?
    you: not recommended
    AI recommended (in order):
    1. HDFS (Hadoop Distributed File System) (apache/hadoop)
    2. Amazon S3 (Simple Storage Service)
    3. Google Cloud Storage
    4. Azure Data Lake Storage (ADLS) Gen2
    5. Apache Spark (apache/spark)
    6. Apache Flink (apache/flink)
    7. Apache Hadoop MapReduce (apache/hadoop)
    8. Trino (trinodb/trino)
    9. Apache Cassandra (apache/cassandra)
    10. MongoDB (mongodb/mongo)
    11. Apache HBase (apache/hbase)
    12. Amazon DynamoDB
    13. Snowflake
    14. Databricks (Lakehouse Platform)
    15. Amazon Redshift
    16. Google BigQuery
    17. Azure Synapse Analytics
    18. Apache Kafka (apache/kafka)
    19. Amazon Kinesis
    20. Google Cloud Pub/Sub
    21. Apache Airflow (apache/airflow)
    22. Luigi (spotify/luigi)

    AI recommended 22 alternatives but never named zenkay/bigdata-ecosystem. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of zenkay/bigdata-ecosystem?
    pass
    AI did not name zenkay/bigdata-ecosystem — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts zenkay/bigdata-ecosystem in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zenkay/bigdata-ecosystem explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo zenkay/bigdata-ecosystem solve, and who is the primary audience?
    pass
    AI did not name zenkay/bigdata-ecosystem — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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zenkay/bigdata-ecosystem — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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zenkay/bigdata-ecosystem — RepoGEO report