Peltarion vs Firebase by Google
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13% Similar — based on 2 shared tags
Legacy low code deep learning platform acquired by King in 2022, public service discontinued and retained here for historical context and migration guidance.
Provides a backend platform for building and running web and mobile apps with authentication, databases, hosting, analytics, crash reporting, messaging, and AI integrations. It helps teams ship faster without managing most server infrastructure directly.
Feature Tags Comparison
Key Features
- Acquired by King in 2022 status discontinued: Public access ended after acquisition and integration into King’s internal AI efforts
- Legacy visual designer and training suite: Component based CNN RNN and NLP modeling with minimal code now archived
- Hosted deploy endpoints no longer active: Former one click deployment is unavailable for new or returning users
- Dataset management and augmentation: Tools existed for splits and transforms recorded here for historical completeness
- Team collaboration and experiment tracking: Versioned projects and roles described in past documentation
- Documentation available in archives: Third party profiles and cached docs provide limited technical reference
- Authentication: supports email sign in social providers anonymous login and phone verification with SDKs for mobile web and games
- Cloud Firestore: provides a scalable NoSQL document database with real time sync offline support and security rules enforcement
- Cloud Functions: runs backend code on events and HTTPS requests so teams can automate logic without managing application servers
- Hosting and App Hosting: deploys static and dynamic web apps with global delivery SSL previews and integration with Google infrastructure
- Crashlytics and Performance: captures crashes stability signals and app performance metrics to help teams diagnose issues in production
- Remote Config and A B Testing: changes app behavior without full redeploys and measures which variants improve product outcomes
Use Cases
- Historical comparison for modern low code ML stacks to understand feature evolution and tradeoffs
- Academic coursework that still cites Peltarion now updated to point at supported alternatives
- Procurement records clean up that require an official discontinuation note for audits
- Migration projects exporting datasets and retraining on maintained platforms
- Market research into acqui hires and the consolidation of MLOps tooling
- Documentation hygiene where old screenshots and guides need deprecation notes
- Mobile App Backend: build a cross platform app with login data sync file storage push alerts and crash reporting from one stack
- Realtime Collaboration: power chat dashboards or shared task views using synced database updates and offline support for active users
- MVP Launch: ship a startup product quickly with managed auth hosting analytics and serverless functions instead of custom infrastructure
- Growth Experimentation: test onboarding paywalls or messaging variations with Remote Config A B Testing and analytics driven rollout
- Game Operations: support game sign in cloud saves notifications release testing and monetization analytics for live player experiences
- AI Enabled Features: add Gemini powered assistants summarization or workflow logic inside apps using Firebase AI tooling and SDKs
Perfect For
researchers educators buyers and engineers who must document legacy platforms provide replacements and ensure current security and support posture
Mobile and web developers product teams startups and digital businesses that need a fast managed backend with analytics messaging and scalable app infrastructure.
Capabilities
Acquired & Closed Basic
Alternatives Basic
Docs & Links Basic
Migration Paths Basic
Managed Backend Professional
App Analytics Professional
AI Workflows Professional
Cross Platform SDKs Intermediate
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