Sayonora
Every database. Better.
Faster. Safer. Smarter. Ready for AI.
One intelligent layer across the databases you already run.
Sound familiar?
The problems every database team already knows.
Accelerate
"My database can't keep doing the same expensive work."
⚡ The database is getting slower as traffic grows.
Repeated queries keep doing the same expensive work, and the same expensive aggregations get recomputed from scratch every time instead of rolled up once. Scaling the database vertically is getting expensive, but rewriting the application around a cache isn't attractive.
Scale
"We've outgrown one database, but we can't rewrite the application."
↗ One database isn't enough anymore.
The workload has outgrown a single database, but sharding means teaching applications where the data lives, dealing with distributed query and transactions—and living with that decision forever.
Power AI
"Every database we add means another AI integration to build."
🤖 Every database needs its own AI integration.
One MCP server gives AI agents and tools a single governed path across every database — Postgres, Oracle, MySQL, SQL Server, and more — instead of a separate integration per database.
Control
"Our applications want more connections than the database can handle."
⇆ Your applications want more resources than your database can handle.
Connections, runaway queries, and noisy workloads all compete for the same database — they have to be managed for the best experience, or one bad actor degrades everything for everyone.
Protect
"AI needs our data. Security needs control."
🛡 AI needs your data. Security says absolutely not.
Applications, scripts, APIs and now AI agents all have different paths to production data. Security policy gets fragmented across databases and clients.
Observe
"Something is slow. We just don't know what's causing it."
◉ Something is slow. Nobody knows why.
SQL, APIs and AI agents are hitting multiple databases, each with different monitoring. Finding the workload causing the problem means jumping between tools.
Familiar problems. Fragmented solutions. Caching, scaling, security, observability, distributed queries, and connection management aren't new problems. Enterprises have been solving them for decades — separately, across applications, tools, and individual databases.
The result is fragmented security, incomplete observability, duplicated infrastructure, and an architecture that gets harder to evolve with every new initiative — especially AI.
Warp
One intelligent control point.
Warp brings fragmented database infrastructure together — between every application, API, and AI agent and the databases they access.
One place to connect, protect, control, accelerate, and observe workloads across Postgres, Oracle, MySQL, SQL Server and MongoDB.
And when you're ready, everything can become Postgres.#
12 protocols in. One Postgres out — anywhere you run it.
Modernizing off Oracle, MySQL, or SQL Server and consolidating the extra data services you run just for their APIs point at the same target: one Postgres, reached through whichever protocol a client already speaks.
Modernize
"We want to modernize, but we can't rewrite everything."
🚚 You want to modernize. You can't rewrite everything.
Moving from Oracle, MySQL or SQL Server to Postgres sounds great—until existing SQL, drivers, stored procedures and application assumptions show up.
Emulate
"Why are we running five data services just to support five APIs?"
◇ You're running databases just to support their APIs.
MongoDB. DynamoDB. SQS. InfluxDB. Graph databases. Sometimes you need the interface more than you need another distributed system to operate.
OpenSearch · GraphDB · SQS · DynamoDB · gRPC · MCP
Run Warp next to the applications and databases you already operate — no managed control plane required. Try it, see live protocol demos, and the full technical depth — architecture, security, sharding, caching, native-backend mode, and honestly-scoped compatibility — on the dedicated Warp page → See also how Warp compares to a plain connection pooler on the Postgres Gateway → page.
Run better. Move better. Change less.
Use Warp on its own to run the database you already have better, or bring in Ferry and Shim alongside it when you're ready to modernize onto Postgres.
Warp — run better
The intelligent database gateway: power AI, cache, scale, monitor, secure, shard, and roll up. Works with Postgres, Oracle, MySQL, and SQL Server. See Warp →
Ferry — move better
Assess → Size → Migrate → Validate → Cut over. Scores how hard your Oracle, MySQL, or SQL Server migration to Postgres will really be, before you commit to it. See Ferry →
Shim — change less
Brings familiar Oracle, SQL Server, and MySQL catalogs, functions, and behaviors into Postgres, reducing the application changes a migration otherwise requires. See Shim →
Together: Ferry moves the data, Shim reduces the SQL and application changes, and Warp keeps existing clients and protocols working — all landing on the same Postgres.
Also from Sayonora
Ferry
Know before you migrate. Then move for real.
Assess
Understand migration difficulty.
Size
Plan the target Postgres environment.
Migrate
Massively parallel snapshot + CDC.
Run
Warp keeps applications connected and governed.
Also from Sayonora
Shim
Change less of your SQL and application code.
Real Postgres extensions — pg_oracle, pg_mysql, pg_sqlserver — that resolve familiar Oracle, SQL Server, and MySQL catalog objects and built-in functions natively inside stock Postgres, so a migrated application hits fewer surprises on day one.
Pricing
Same Warp, same protocols, same capabilities — Developer and Enterprise differ on scale and commercial rights, not features. Nothing that makes Warp what it is — SQL translation, the firewall, sharding, QoS, caching, HA/failover — is held back for a paid tier: an evaluation on Developer proves the exact architecture you'd run in production.
| Product | Developer | Enterprise starting price | Pricing metric |
|---|---|---|---|
| Warp | Free | $15,000/year | per production deployment/cluster |
| Ferry | Free | $7,500/year | per migration environment |
| Shim | Free / Basic | $5,000/year | per production deployment |
| Sayonora Platform | Free (dev) | $20,000/year | bundle of all three |
| Sayonora Enterprise | — | Custom — starting around $75,000/year | Organization-wide licensing for larger database estates and migration programs |
Sayonora Platform bundles Warp, Ferry, and Shim under one license at a discount to buying all three separately. Sayonora Enterprise is organization-wide licensing for larger database estates and migration programs — scope (how many deployments and migration environments, across which products) negotiated directly rather than metered per unit. Starting prices above are exactly that — a starting point for the smallest real production footprint each product is sold against; talk to us for a quote on yours. Schedule a Warp Architecture Review →
Full Developer vs. Enterprise breakdowns, price cards, and what each tier unlocks: Warp →, Ferry →, Shim →.
Common questions
- Does my application need to change to use Warp?No — your existing driver connects exactly as it always has, unaware Warp is on the other end. Learn more →
- Is Warp's sharding real, or just SQL text matching?Real — it decodes each protocol's own native bound values and merges cross-shard results centrally. Learn more →
- Does Warp support row-level security?Yes, for Postgres, SQL Server, and Oracle — a real per-caller identity feeds your own Postgres RLS policies. MySQL and the DynamoDB/MongoDB/SQS/OpenSearch wire protocols don't propagate identity into RLS yet. Learn more →
- What happens if the backend Postgres needs planned maintenance?A drain API redirects traffic and waits for a real zero-replication-lag cutover before confirming. Learn more →
- Can Warp connect to Supabase, RDS, Cloud SQL, Azure, or OCI?Yes — each has a worked example and its real provider-specific gotchas. Learn more →
- Does Warp cache query results?Yes — two tiers, both shared, neither a per-protocol silo. Arbitrary opted-in
SELECTresults: PostgreSQL, MySQL, Oracle, SQL Server, gRPC, and MCP all read the same cache. Exact primary-key point lookups (GetItem,findby_id, SQLWHERE pk = ?): DynamoDB and MongoDB each share that entry with any SQL client reading the same physical table too — see the demo above. Invalidation is automatic in both tiers. Learn more → - Does Warp use AI for anything beyond MCP?Yes — ten features where Warp itself calls an LLM at a specific pipeline point, from self-healing query repair and firewall-rule drafting to natural-language querying and schema documentation. Every one keeps the same split: a deterministic decision stays deterministic, the LLM only phrases, drafts, or judges, and nothing it produces is ever applied or executed without a check. See all ten →
- What security features does Warp actually have wired in?SQL firewall, connection ACL, QoS, authentication, TLS, secrets management, and admin auth — each scoped honestly. Learn more →
- Is Warp free to use?Yes — Developer is free forever with every protocol and feature enabled, capped on scale. See Pricing above.
- Is Ferry's migration score generated by an LLM?No — it's rules-based and reproducible: the same database gives the same score every time.
Contact
Considering Warp for production? Bring your architecture — we'll help map where Warp fits. Pick "Architecture Review" below.
Report an issue or ask a question — for either Warp or Ferry. Include what you were trying to do and, for a bug, what you expected vs. what happened. Goes straight to the team, no email address to copy or scrape.