Data Jar is a data store for iOS that allows users to persist key-value pairs via Apple Shortcuts.
The App DNA
What makes this app unique?
Users hire Data Jar to manage structured data within automation workflows that standard iOS tools cannot handle, serving the need for custom, persistent storage.
For iOS power users and automation enthusiasts who use the Shortcuts app to manage data and workflows.
What does it look like?
Key features
Enables reading and updating of key-value pairs directly from the Shortcuts app
Persists data across multiple devices using Apple iCloud infrastructure
Optional in-app purchase mechanism for users to support the developer
How much does it cost?
The app operates on a free model with a voluntary tip jar, prioritizing user acquisition and utility over mandatory monetization.
Velocity
Dormant developmentopaqueShow more...
The app has been inactive for over three years, with no updates recorded since January 2022. Given the lack of development activity for significantly longer than the 12-month threshold, the project is classified as a zombie. There is no evidence of ongoing maintenance, feature development, or live operations.
Who built it?
Simon B. Støvring
7 apps tracked · Utilities
Scriptable
Jayson
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What do users think recently?
How are ratings & reviews evolving?
Not enough recent reviews to extract reliable themes yet.
Read the full review analysisCompetition
Competitive landscape for Data Jar
How's the Utilities market?
Data Jar maintains a 4.88-star rating across 826 reviews, anchoring its position as a high-utility tool for the iOS automation niche.
Read the market outlookThe rivals identified
By Codespace Dijital Hizmetler Anonim Şirketi
While Data Jar focuses on structured data storage, Cleaner AI competes for the same 'utility-focused' power user who uses automation to manage device clutter and storage efficiency.
- Leverages advanced AI-driven analysis to automate photo cleanup, whereas Data Jar requires manual user-defined logic.
- Offers high-value consumer features like charging animations and private vaults that drive massive install volume.
- Maintains a high-frequency release cadence, shipping five updates in six months to maintain top-tier store visibility.
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Access the full report for freeThe Analyst's Read
Key takeaways for Data Jar
Where is it heading?
The utility market is consolidating around automated, AI-assisted tools that reduce user effort. Data Jar remains advantaged in the manual automation niche, but it must evolve its onboarding to prevent churn as users migrate to more intuitive, automated alternatives.
- The app maintains a stable user base through niche utility, but the lack of recent feature updates risks long-term relevance against faster-moving competitors.
The SWOT
- Shortcuts integration enables complex custom workflows
- Schema-agnostic storage provides high flexibility
- Develop pre-built automation templates to lower entry barriers
- Integrate with wearable platforms to expand utility reach
Next best moves
Ship pre-built automation templates because manual logic is the top barrier to entry → increase new-user conversion
The counter-intuitive read
The lack of aggressive monetization is not a…
Read the full takeFeature gaps
AI-driven data organization (available in Cleaner AI but absent here) +1
Since the last report: The product strategy has shifted from technical stability to user acquisition via template-based onboarding, while the competitive outlook acknowledges increased pressure from high-frequency rivals.
Bottom line
Data Jar holds a strong niche position through its Shortcuts integration, but the lack of automated utility makes it vulnerable to AI-driven competitors, so the developer must prioritize template-based onboarding to scale beyond power users.
Unlock 2 critical frictions, 2 market threats and the analyst’s take.
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