MySQL Mobile Client
Research answer
What AppTrendKit can say about MySQL Mobile Client today
MySQL Mobile Client has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance
Downloads, revenue and chart history
Estimates for the last 7D. Chart positions come from the App Store; downloads and revenue are AppTrendKit estimates, shown as a size band (for example 10K–50K) with a confidence level.
Estimated downloads · 30D
Upper limitUnder 500
Below the top 100 in Developer Tools (DE)
The app is not in its category's top 100, so it has less than the app ranked #100 there. We show this limit until we have enough data for an estimate.
Estimated App Store gross consumer spend · 7D
UnavailableNo estimate yet
We only show an estimate once we have enough data. Missing numbers are never shown as zero.
History
Collected daily performance
No daily history yet.
Rank history
Chart positions
Lower rank is better. Only collected observations are shown.
- Free
- —
- Paid
- —
- Grossing
- #29
- Free
- —
- Paid
- —
- Grossing
- #27
- Free
- —
- Paid
- —
- Grossing
- #41
| Date | Free | Paid | Grossing |
|---|---|---|---|
| Sep 27, 2026 | — | — | #29 |
| Sep 28, 2026 | — | — | #27 |
| Sep 29, 2026 | — | — | #41 |
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution · 7D
Country figures cover the days we collected in each country, so they don't add up to the worldwide estimate. Each country shows when it was last updated.
Monetization
How the app makes money
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 47.0
- Released
- Aug 5, 2018
- Last updated
- Sep 17, 2026
- Content rating
- 4+
- Default storefront
- DE
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
DB Compass for MySQL allows you to access your MySQL database directly without any server setup. You can manage your data with a very clean and simple iOS user interface. FEATURES: • Connection over TLS encryption and SSH tunnel • SSH authentication support Secure Enclave Key and U2F/FIDO NFC Key • Assisted table creation and alter structure • Explore, filter, sort, and quick search table data • Query script with A.I. assisted composition and plan analysis • Database objects (tables, views, procedures, etc.) • Database statistics, sessions manager, server status graphs • ER Diagram Viewer • Advanced data grid for browse, edit, conditional formatting • Blob field preview, import and export • Job Activity Monitor • User list and Privileges • Import and Export in multiple formats • iCloud Sync for SQL and JS scripts • SQL plan analysis • Execute queries with Shortcuts App • User Charts • Widgets for User Charts OpenAI, Gemini and Claude integration requires api key and is only available in allowed regions. Ollama and LM Studio integration requires your server to connect. Tested on MySQL 5.7, 8 and 9. -- This is a Premium app and some features may require an in-app lifetime unlock -- For feedback or suggestions contact info@dbcompass.net
Publisher websiteStore creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 28, 2026, 12:19 AM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: Lineage not exposed by this aggregate.
Confidence: —; intervals widen when evidence or history is limited.
Last updated: Sep 29, 2026, 5:50 AM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology