Cut the biggest line on your cloud bill.
4,000× faster. 70% cheaper.
Your database is the most expensive thing in your stack. redfly sits between your app and your database, serving reads from a memory cache it keeps in sync; no rewrite, no cloud-native migration, no vendor lock-in. It works in any cloud, and on your own servers too.
- Trusted by 100+ enterprise customers
- No rewrite
- No vendor lock-in
- Cloud
- Onsite
"I understand how the code works, but I can't figure out where you did the caching."
"The system does not feel like a prototype. It feels like you have already been in production for years."
"Once you set it up, it just works. We never have problems afterward."
Built on the infrastructure you already trust
It's the millions of small reads that wear your database down.
Death by 10 ms
Even a fast database response reads slow when there are millions of requests behind every click.
Vertical Scaling is a step-function bill
One Australian non-profit we spoke with had exactly one upgrade option: from $5K to $10K a month.
Horizontal Scaling is a large project
Replicas and distributed caches are an expensive, slow engineering effort with long development and QA cycles.
Black Friday ready
We have handled Black Friday and Cyber Monday peaks with the database running at 99% CPU and memory usage.
A flexible solution
Start with database change notifications, then move reads to our API. Expand the implementation as you see it working; start seeing the benefits from day one.
Cheaper but faster
Reduce cloud costs while handling millions of requests without a large engineering effort & cloud expense.
The live proof is braindump.ai
Not demos. Not sandboxes. These are shipping B2C products serving real users on a tiny infrastructure footprint; built on the same redfly stack you can put in front of your database today. Open any of them and feel the speed for yourself.
Braindump
A personal knowledge-capture and synthesis app; get thoughts out of your head, get them back when you need them. Live on iOS, Android, Windows, and Amazon app stores.
For: Global consumer user base (B2C)
The Braindump server uses redfly to accelerate both its SQL Server and MongoDB databases in production. A significant portion of the read traffic is handled by redfly transparently; keeping mobile and desktop sessions snappy on a tiny infrastructure footprint, across two database engines at once.
Meera
A photoreal AI companion with human presence and memory; she captures what matters and gives it back exactly when it is needed. Live on iOS, Android, and Windows.
For: Global consumer user base (B2C)
Meera is the conversational face of the Braindump platform, so every reply she gives is a read across years of one user's history. redfly absorbs that read traffic transparently across SQL Server and MongoDB; which is what lets an AI companion recall a detail from months ago without the pause a user would notice.
ResumePro
AI-assisted resume builder that helps applicants pass the qualification bar; fast.
For: Job seekers (B2C)
The ResumePro server component is built on redfly: it reads through the redfly API with caching handled behind it, and the redfly Sync Service keeps Redis in lock-step with the source database. That's how a small team keeps every interaction snappy without staffing a database team.
Compared to hand-written data access and caching code by a team of developers.
Smaller databases plus memory-fronted reads change the cloud bill fast; and the onsite one too.
In production, over the public internet, with offline-tolerant sync.
Your database is quietly eating the budget.
One company we spoke with lifted-and-shifted to the cloud and watched cloud costs swell to 15% of their entire budget. The industry's answer is a costly cloud-native rewrite that locks you into one vendor. There is a third option.
The database dominates the cloud bill
Databases are the largest and fastest-growing slice of cloud spending (IDC), and 29% of cloud spend is outright wasted (Flexera 2026). Every read served from disk is money burned by the hour.
The official fix is a trap
The industry tells lift-and-shift companies to "go cloud-native": a multi-year rewrite around one vendor's proprietary services. You trade a big bill for a bigger one; plus permanent lock-in.
Scaling the box stopped working
Bigger database instances have hard limits and step-function bills; in the cloud and onsite alike. Horizontal scaling means a distributed cache, which is its own engineering org.
DIY caching is a permanent fire
Hand-rolled cache invalidation and sync glue is a 1990s tax. Engineers spend more time keeping the cache truthful than building product; and DBAs who can tune the alternative are rare and expensive.
Capabilities you can't easily build yourself.
These are the things that make redfly a true alternative to SQL.
Stop writing heavier and heavier SQL. Just grab the data you need.
Conventional backends get slower with scale because SQL queries get larger and more elaborate as more data needs to be retrieved. redfly inverts that. Your code grabs the data it wants, when it needs it; through typed entry points served from Redis; instead of composing queries that grow with your schema. Less query complexity. Less coupling to the database's query planner. Performance that stays flat as data volume grows.
Joins & multi-field queries on Redis
Redis is famously bad at joins and secondary-key queries; most teams give up and fall back to the database. redfly serves joined results and multi-field lookups directly from Redis, so the workloads that usually break a cache stay in cache.
Truly transparent caching
No TTL tables. No manual invalidation. No "remember to flush after a write." Caching happens behind the API, so your application code looks like ordinary data access; and behaves like cached data access. The biggest surprise for most customers: there is no caching implementation to be seen anywhere.
Automatic database fallback
If Redis is unreachable, redfly transparently falls back to your source database; no application changes, no degraded mode toggles. Read availability tracks your database, not your cache.
One API instead of a data layer
Your team calls the redfly API for the data it needs. There is no cache code, no invalidation logic and no data plumbing to write, review or maintain. Decades of caching and database tuning sit behind the API instead of inside your codebase, so development and QA cycles shrink dramatically; the savings reach well beyond the infrastructure bill.
Not ready to migrate? Try Database Change Notifications.
If you'd rather keep your current manual caching for now but stop polling the database to figure out what changed, the same redfly Sync Service can expose change notifications from SQL Server, MongoDB, or Postgres directly into your existing systems. An intermediate step that pays for itself before you commit to the full redfly stack.
Tell us about your stack →From schema to production backend in four steps.
Provide credentials. Click sync. Build your app on a production-grade backend that is faster and cheaper than anything you could DIY.
Provide credentials
Connect your SQL Server, MongoDB, or Postgres database and your Redis instance. Sync touches only what you authorize.
Point your app at the API
redfly exposes your data through a single API, with caching handled behind it.
Sync starts running
redfly Services begin keeping Redis (and optionally search indexes) in lock-step with your database.
Build your app
Your team calls the API and ships features. Reads come from Redis, writes go to your database, and your engineers never see the cache layer.
If your app talks to a database, redfly is for you.
The constant little calls on every click: permission checks, lookups, profile loads. redfly serves all of those from cache, freeing the database for the complex queries it's actually good at; from real-time SaaS dashboards to IoT fleets.
Real-time SaaS; keep dashboards under 200ms
redfly fronts your database with a Redis cache it manages automatically. Reads get served from RAM; the cache stays consistent without your team writing a single invalidation rule.
Scale a legacy app without rewriting it
Point your existing app at the redfly API and let the redfly Sync Service keep Redis in sync with your database. The app keeps shipping; the database stops being the bottleneck.
Multi-tenant freemium without database meltdown
Per-tenant read paths are served from Redis. The database handles writes; redfly handles the 95% of traffic that does not need it.
IoT, robotics & fleet telemetry
redfly synchronizes data from your database over the public internet with offline support and high-latency tolerance built in.
BI and analytics acceleration
Pre-computed results live in Redis. Reports return instantly; the warehouse only runs when data actually changes.
Supply Chain & Logistics
Sync warehouse data to the cloud for centralized, multi-site reporting, at a fraction of the conventional cost. Remote locations on high-latency networks are supported.
What we do for supply chain & logistics →Read the code. Then talk to us.
Don't take our word for it. The redfly repo on GitHub shows exactly how the client side works: strongly-typed clients, Redis-first reads, transparent fallback to your database.
The hosted pieces that once powered a self-serve demo have been retired; today we stand redfly up with you directly, as design partners, against your own SQL Server, MongoDB, or Postgres database.
The production product is the redfly API + the redfly Sync Service.
What's in the repo
- redflyDataAccessClient; strongly-typed clients with Redis-first retrieval
- redflyDatabaseSyncProxy; the client side of Redis sync
- redflyPerformanceTest; how we measure cache hit-rate & latency vs conventional techniques
AGPL-3.0. The production redfly API, the redfly Sync Service, and redfly Remote Sync are commercial; licensed directly from redfly.
On the Microsoft stack? We can onboard you immediately.
How fast you go live depends on how close your stack is to ours. SQL Server on Azure with C# goes live right away; everything else follows a clear order of preference. redfly deploys into your own cloud account, into redfly's cloud as a fully managed service, or onsite.
Database
- SQL ServerImmediate
- MongoDBNext
- PostgresThen
- Other databasesOn request
Cloud
- AzurePreferred
- AWS & othersTier 2
Language
- C#Preferred
- Other languagesTier 2
Deployment
- Your cloud accountPreferred
- Fully managedAvailable
- OnsiteAvailable
We recommend working with us as a Design Partner.
We recommend working closely with us as a design partner so we can best serve your needs and land on the right working solution for your specific use case. That kind of partnership is what we're really looking for.
It is currently the only way to adopt redfly: we set it up with you, against your database, and stay until the numbers show up on your bill.
Every company with a database bill is a prospect.
70–80% of software runs on a relational database; the biggest, fastest-growing line on the cloud bill. The industry's only fix is an expensive cloud-native rewrite that locks companies into one vendor. redfly cuts the same cost ~70% with no rewrite and no lock-in, anywhere the database runs.
Read the investor brief →Stop babysitting your database.
Ship a production backend with built-in Redis caching in minutes; not quarters.
redfly API + Sync Service · Licensed directly from redfly