RRepoGEO

REPOGEO REPORT · LITE

pingcap/tiflash

Default branch master · commit cc5a4735 · scanned 6/23/2026, 4:27:01 PM

GitHub: 1,020 stars · 418 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /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
3 / 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 pingcap/tiflash, 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

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

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    htap, olap, columnar-storage, distributed-database, tidb, clickhouse-based, analytical-engine, mpp, real-time-analytics
  • mediumreadme#2
    Clarify the benefits of TiFlash being based on ClickHouse in the README

    Why:

    CURRENT
    TiFlash repository is based on ClickHouse. We appreciate the excellent work of the ClickHouse team.
    COPY-PASTE FIX
    TiFlash is built upon the high-performance ClickHouse columnar engine, leveraging its proven capabilities to deliver fast analytical processing directly within the TiDB HTAP architecture. This foundation allows TiFlash to provide robust, scalable, and efficient analytical query execution. We extend our gratitude to the ClickHouse team for their excellent work.
  • lowreadme#3
    Add a 'Key Differentiators' or 'Why TiFlash' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Differentiators

TiFlash stands out by offering:

- **Real-time HTAP:** Seamlessly perform analytical queries on live transactional data within the TiDB ecosystem.
- **Tight Integration with TiDB:** A native component of the TiDB distributed SQL database, ensuring transactional consistency and simplified operations.
- **Columnar Storage & MPP:** Optimized for large-scale analytical workloads with high performance, leveraging a ClickHouse-based engine.

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 pingcap/tiflash
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TiDB
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TiDB · recommended 1×
  2. SingleStore · recommended 1×
  3. CockroachDB · recommended 1×
  4. PostgreSQL · recommended 1×
  5. CitusData · recommended 1×
  • CATEGORY QUERY
    How can I perform real-time analytical queries on operational data with transactional consistency?
    you: not recommended
    AI recommended (in order):
    1. TiDB
    2. SingleStore
    3. CockroachDB
    4. PostgreSQL
    5. CitusData
    6. Microsoft Azure Cosmos DB for PostgreSQL
    7. TimescaleDB
    8. YugabyteDB

    AI recommended 8 alternatives but never named pingcap/tiflash. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What options exist for a columnar storage engine to accelerate large-scale analytical workloads?
    you: not recommended
    AI recommended (in order):
    1. ClickHouse (ClickHouse/ClickHouse)
    2. Apache Druid (apache/druid)
    3. Amazon Redshift
    4. Google BigQuery
    5. Snowflake
    6. Vertica
    7. Apache Parquet (apache/parquet)

    AI recommended 7 alternatives but never named pingcap/tiflash. 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 pingcap/tiflash?
    pass
    AI named pingcap/tiflash explicitly

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

  • If a team adopts pingcap/tiflash in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pingcap/tiflash 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 pingcap/tiflash solve, and who is the primary audience?
    pass
    AI named pingcap/tiflash explicitly

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

Embed your GEO score

Drop this badge into the README of pingcap/tiflash. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/pingcap/tiflash.svg)](https://repogeo.com/en/r/pingcap/tiflash)
HTML
<a href="https://repogeo.com/en/r/pingcap/tiflash"><img src="https://repogeo.com/badge/pingcap/tiflash.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

pingcap/tiflash — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite