Best for teams that want an open-source, self-hostable backend with a modern developer experience
Category wins
3
Score
77
Side-by-side comparison
Compare Appwrite vs Backendless head-to-head on AltStack. Analyze feature scores, review community insights, and find the best software alternative for your workflow.
Grouped by use-case fit and featured picks. Save any option to My Stack and jump there to review or share it.
Best for teams that want an open-source, self-hostable backend with a modern developer experience
Category wins
3
Score
77
Best for low-code app builders and rapid prototyping teams
Category wins
1
Score
62
Category-by-category comparison. Green highlight marks the best value in each row.
Rank #1
Rank #2
Rank #1
6integrations
Rank #2
3integrations
Rank #1
84
Rank #2
73
Rank #1
3
Rank #2
4
Rank #1
3
Rank #2
3
Rank #1
Rank #2
Security
Integrations
6integrations
3integrations
Rep
84
73
Pros
3
4
Cons
3
3
How each product is licensed and where it can run.
License
Deployment
One-line reasons teams pick each alternative over your baseline.
Backendless
Not listed as an alternative to Appwrite.
Full breakdown for each product in the comparison.
Best for teams that want an open-source, self-hostable backend with a modern developer experience
Pros
Cons
Best for low-code app builders and rapid prototyping teams
Pros
Cons
Community FAQ
Appwrite FAQ
Self-hosting Appwrite requires managing the entire infrastructure stack including Docker containers, database setup (MariaDB), and SSL configurations. You need to handle backups, scaling, and updates manually, which introduces operational overhead. Unlike managed plans, you won't get automatic scaling or uptime guarantees, so monitoring and maintenance are your responsibility.
Community insight informed by Reddit discussions
Appwrite does not provide built-in offline-first capabilities or automatic offline data synchronization. While the SDKs support realtime updates when online, you must implement your own local caching and conflict resolution strategies on the client side to handle offline scenarios.
Community insight informed by Hacker News discussions
Since Appwrite is fully open-source and self-hostable, all data remains within your infrastructure. You control the database, storage, and backups, ensuring no third-party has access to your users' data. This setup aligns with strict privacy requirements and compliance needs, unlike proprietary BaaS platforms.
Community insight informed by StackOverflow discussions
When self-hosting Appwrite, there are no enforced API rate limits by default; limits depend on your infrastructure capacity. However, managed Appwrite cloud plans may impose rate limits to ensure fair usage. You can implement custom rate limiting proxies or middleware if needed for your self-hosted deployment.
Community insight informed by Forums discussions
Appwrite allows exporting your database data via direct database dumps (MariaDB exports) and storage files through standard file system access. There is no built-in one-click migration tool, so you need to handle data transformation and re-import on the target platform manually. The open-source nature facilitates custom scripts for migration.
Community insight informed by Reddit discussions
Backendless FAQ
Backendless primarily operates as a managed Backend-as-a-Service platform. While they offer an enterprise edition that can be deployed on private infrastructure, it is not fully open-source and requires coordination with Backendless for licensing and deployment. The self-hosted option involves complex setup and maintenance compared to fully open-source alternatives, limiting portability and increasing operational overhead.
Community insight informed by Reddit discussions
Backendless provides SDKs with some offline data caching capabilities, but full offline-first support with automatic synchronization is limited. Developers need to implement custom logic to handle conflict resolution and syncing when the device reconnects. This means offline functionality is not as seamless as some specialized offline-first platforms.
Community insight informed by Hacker News discussions
Data stored in Backendless belongs to the customer using the platform. Backendless acts as a data processor and stores data on their managed infrastructure unless using the enterprise private deployment. Customers should review Backendless's data processing agreements and privacy policies to ensure compliance with regulations. Exporting data is supported but may require manual processes.
Community insight informed by StackOverflow discussions
Backendless offers cloud code for extending backend logic, but the low-code abstractions can restrict highly customized or resource-intensive operations. There are limits on execution time and resource usage for cloud functions. Additionally, the API surface is less extensive than some larger BaaS providers, which may require workarounds or external services for advanced use cases.
Community insight informed by Forums discussions
Migrating away from Backendless can be challenging due to proprietary data schemas and cloud code implementations. While data export is supported via APIs and backups, translating cloud code and real-time messaging setups requires manual rewriting. There is no automated migration tool, so teams should plan for significant redevelopment effort when switching platforms.
Community insight informed by Reddit discussions