Databases · head to head
Dragonfly vs SQLite

Dragonfly
Databases
High-performance Redis-compatible in-memory datastore with 25x better throughput
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Dragonfly flex tier starting at $36/month may be underpriced, requiring careful usage monitoring; SQLite supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users
- They diverge on capability: Dragonfly covers Redis API compatibility, SQLite covers Serverless Operation.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Dragonfly and SQLite actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Dragonfly
- Redis API compatibility
- Thread-per-core architecture
- High-performance caching
- Memory efficiency
- Real-time leaderboards
- Message queue support
- ML feature serving
- Cloud deployment
Only in SQLite
- Serverless Operation
- Zero Configuration
- Single File Database
- Cross-platform
- Full SQL Support
- ACID Compliance
- Self-contained
- Browser Storage
What people use each for
The jobs each tool is most often brought in to do.
Dragonfly
- High-throughput caching for web applicationsnot SQLite
- Real-time leaderboards and rankingsnot SQLite
- Message queue and event processingnot SQLite
- ML model feature serving at millisecond latenciesnot SQLite
- Gaming session state and player data storagenot SQLite
SQLite
- Transaction processingnot Dragonfly
- Data storagenot Dragonfly
- Application backendnot Dragonfly
- Reportingnot Dragonfly
- Data analyticsnot Dragonfly
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dragonfly
- Flex tier starting at $36/month may be underpriced, requiring careful usage monitoring
- Business tier $2,000/month represents significant jump in cost
- Limited to in-memory storage, not suitable for cold data or archival
- Bring-your-own-cloud requirement on Business tier adds operational complexity
- Cloud availability dependent on AWS/GCP/Azure uptime
SQLite
- Supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users
- No multi-user support or granular access control; relies on file system permissions for security only
- Limited ALTER TABLE functionality cannot edit or modify columns in existing tables
Pricing, plan by plan
Dragonfly
Free- Free TierFree
- 100 cloud credits for new signups
- Equivalent to free trial
- Business$2000/month
- Starting price for enterprise offering
- Bring-your-own-cloud deployment
- Auto-scaling with custom SLAs
- Enterprise$undefined/custom
- Custom pricing
- Any-cloud deployment
- Custom instances and sizing
SQLite
Free- Public DomainFree
- Serverless
- Zero-configuration
- Cross-platform
Which should you pick?
Choose Dragonfly if
- You need redis api compatibility.
- You want to start without paying.
- You work on Cloud, AWS, GCP, Azure.
- You also want thread-per-core architecture.
Choose SQLite if
- You need serverless operation.
- You want to start without paying.
- You work on Linux, macOS, Windows, iOS, Android.
- You also want zero configuration.
Questions people ask
- Is Dragonfly or SQLite better?
- Neither clearly leads. Dragonfly starts at Free and SQLite at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dragonfly or SQLite?
- Dragonfly starts at Free and SQLite at Free.
- Does Dragonfly or SQLite run on more platforms?
- Dragonfly runs on Cloud, AWS, GCP, Azure. SQLite runs on Linux, macOS, Windows, iOS, Android.
- Can I use Dragonfly for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Dragonfly best used for?
- Dragonfly is most often used for high-throughput caching for web applications, real-time leaderboards and rankings, message queue and event processing, ml model feature serving at millisecond latencies. Of those, high-throughput caching for web applications and real-time leaderboards and rankings are not what SQLite is typically brought in for.
- What can Dragonfly do that SQLite cannot?
- Dragonfly covers Redis API compatibility, Thread-per-core architecture, High-performance caching, Memory efficiency. SQLite covers Serverless Operation, Zero Configuration, Single File Database, Cross-platform.
Answered from the vendors’ own pages
Dragonfly: How much faster is Dragonfly than Redis?
Dragonfly achieves 3.97M queries per second compared to Redis's 718K QPS, representing a 25x improvement. Memory efficiency is also 30% better.
SourceSQLite: Is SQLite free and open source?
Yes, SQLite is open source and in the public domain. The complete source code and binaries are free to download and use for any purpose without restrictions.
SourceDragonfly: Can I migrate from Redis to Dragonfly without code changes?
Yes. Dragonfly maintains full API compatibility with Redis and Memcached, allowing drop-in replacement with minimal to no code modifications.
SourceSQLite: How does SQLite work and what is its design?
SQLite is a self-contained, serverless SQL database engine that reads and writes directly to disk files. It requires no separate server process and runs within your application, making it ideal for embedded systems and local storage.
SourceSQLite: What are SQLite's limitations for scaling?
SQLite does not support true multi-user concurrency. Only one process can write to the database at a time, and it lacks user management and access control features. It is designed for small to medium projects, not enterprise applications with many concurrent users.
SourceSQLite: Can I use SQLite for production web applications?
SQLite can work for single-server web applications with modest concurrency needs. However, it lacks features like user management, granular security, and sophisticated query optimization needed for large-scale applications.
SourceRelated pages
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