Cloudflare D1 Database Laravel Package

Product Decisions This Supports

• Build vs. buy for edge/serverless Laravel hosting. If the roadmap includes running Laravel against Cloudflare D1 (edge deployments, Cloudflare-native stack, prototypes that must avoid managed MySQL/Postgres), this package is the "buy" path — full Eloquent, Query Builder, and Migrations support with artisan commands for import, schema dump, time travel, and health checks. Building an equivalent driver is weeks of work; this gets you to a working integration.
• Architecture audit: transaction dependency. Because beginTransaction(), commit(), rollBack(), and savepoints are no-ops on D1, any feature that relies on DB::transaction() or rollback semantics (payments, order placement, inventory decrements, multi-table writes) is a product risk. This package forces an explicit roadmap decision: either refactor those flows to use D1Connection::batch() (atomic per 100-statement chunk, not globally atomic) or keep them on a transactional RDBMS.
• Read-heavy / global-read roadmap. The Worker driver's Sessions + automatic read/write splitting let SELECTs hit D1 global read replicas. This supports a concrete product decision: "serve read-heavy pages (catalogs, content, dashboards) from the edge; keep writes centralized."
• Driver/hosting strategy. The REST vs. Worker split is itself a product decision: REST = zero infra but an extra HTTP hop per query (high latency); Worker = deploy a Cloudflare Worker proxy for low latency and Sessions/read-replication. This determines whether the app is viable for interactive UX or only batch/async workloads.
• SLO and reliability posture. Circuit breaker + exponential-backoff retries are built in — but retries are intentionally scoped to SELECT/WITH only. This bounds how the team can promise consistency on writes and supports a "read-resilient, write-best-effort" product stance.
• Cost modeling. D1 pricing is dramatically cheaper than managed RDBMS at low-to-moderate scale. This package makes a "cheap-first, migrate-later" launch strategy concrete and low-risk to try.

When to Consider This Package

Consider it when all of the following hold:

• The Laravel app's data layer is SQLite-compatible — no dialect-specific SQL, no reliance on window functions beyond what D1 supports, no exotic Postgres/MySQL extensions.
• The application is read-heavy or write-light (content, catalogs, dashboards, analytics dashboards, internal tools), and D1's single-writer concurrency is acceptable.
• The team already has or is committing to Cloudflare credentials (API token, account ID, database ID), and can deploy a Cloudflare Worker if production latency matters — the REST driver is acceptable only for prototypes, backfills, or non-interactive jobs.
• You can audit and eliminate DB::transaction() from critical paths, or already structure mutations to fit batch()/bulkInsert() semantics.
• Data volume and query patterns fit D1's 100-statement batch limit and chunked (non-global) atomicity for bulkInsert().

Look elsewhere when:

• Any core domain needs true ACID transactions (payments, inventory, ledgers). D1's no-op transactions are disqualifying without a redesign.
• The app is write-heavy or latency-sensitive on writes — the HTTP-per-query model and single-writer constraint will dominate.
• The organization standardizes on Postgres/MySQL, or existing reporting/BI tooling expects a managed RDBMS.
• Operational maturity is required: the package is early (30 stars, 0 dependents, single maintainer, MIT). It is a "pilot/watch" adoption, not a "load-bearing core" adoption, unless you are prepared to fork/maintain.
• You need transactions across chunks — bulkInsert() commits earlier chunks even if a later chunk fails; this is a documented behavior, not a bug, but it is a product constraint.

How to Pitch It (Stakeholders)

To executives: "This is a low-cost path to running our Laravel app on Cloudflare's edge with a native Eloquent driver — no custom database layer, and it comes with ops commands (health checks, import, schema dump, point-in-time recovery) out of the box. It lets us launch cheap and global, but it trades away database-level transactions. Recommend we pilot it on a read-heavy, non-transactional surface (content/catalog/dashboard) rather than anything touching money or inventory."

To engineering: "It plugs D1 into Laravel as a first-class connection — Eloquent, Query Builder, Migrations, Seeding all work. Two drivers: REST (simple, but every query is an HTTP round-trip; fine for prototypes and batch jobs) and a Worker proxy (lower latency, required for Sessions and read/write splitting). Be explicit about the constraints: transactions are no-ops — use batch() for atomic multi-statement writes; bulkInsert() chunks at 100 statements and is only atomic per chunk; retries only fire on SELECT/WITH; the circuit breaker uses Laravel Cache, so don't use the database cache driver. Ship the Worker driver for anything user-facing."

Risk framing (both audiences): mature enough to evaluate, not yet to bet the company on — README, changelog, releases, CI badges, MIT license are all positives, but 30 stars / 0 dependents / single maintainer mean we should pilot, document our integration, and be ready to fork if needed. Scope the pilot to a read-heavy, transaction-free surface and treat the transaction audit as a hard gate before any broader rollout.