Our Firebase development services and consulting cover teams that need auth, real-time data, push notifications, and serverless functions without managing infrastructure. Firestore modeled to avoid the read costs that surprise you at scale. Security rules that actually secure, not test-mode rules left in production. Cloud Functions that don't cold-start on the critical path. We build on Firebase with the cost discipline and security posture most teams skip.
Why Entalogics for Firebase
Every Firebase project we audit has the same problems — test-mode security rules live in production, Firestore reads multiplying because nobody denormalized, Cloud Functions with 10-second cold starts because nobody configured min instances, and a Blaze bill climbing 40% month-over-month with no traffic growth to explain it. Firebase is fast to start. It's expensive to get wrong.
`allow read, write: if true` left in past the prototype stage is an open door, not a temporary shortcut. We write rules with role-based access, field-level validation, and rate limiting — versioned in Git, tested in the emulator, deployed via CI, never edited directly in the console.
Every Firestore read costs money, and Firestore has no joins to make that cheap. We denormalize data, precompute aggregations in Cloud Functions, and use composite documents to cut reads by 60-80%. The data model is the cost model, whether anyone planned it that way or not.
Cloud Functions for Firestore triggers, auth events, and lightweight webhooks. Cloud Run for long-running APIs, heavy computation, and AI inference. Each runtime used where it genuinely fits, not Functions stretched to cover everything.
Min instances configured on the functions that matter. Deployment size trimmed, heavy dependencies lazy-loaded. The cold start that kills first impressions gets eliminated before launch, not discovered after a bad app store review.
When Firebase, when not
Firebase gets you to market faster than almost any other backend. It also locks you into Google's pricing model and Firestore's query limitations. We'll tell you honestly on the first call if Firebase fits your stage, and when you're likely to outgrow it.
PICK FIREBASE WHEN
CONSIDER ALTERNATIVES WHEN
WE SAY NO WHEN
What we build on Firebase
Eight ways this work shows up for real clients. Each one secured, cost-modeled, and production-ready.
Auth, Firestore, push notifications, Cloud Functions, Analytics. The complete mobile backend, shipped in weeks, not months.
Chat, collaboration, live dashboards. Firestore real-time listeners with proper listener management, no orphaned subscriptions quietly burning reads.
Custom claims, multi-provider sign-in, phone verification, and App Check — authentication that actually enforces role-based access, not just a login screen bolted onto an open database.
Vertex AI called from Cloud Functions. Embeddings stored in Firestore. AI-powered features without managing separate ML infrastructure.
Test-mode rules replaced with role-based access. App Check enabled. Admin SDK access scoped. Security rules tested in CI before every deploy, not edited live in the console.
Existing projects with runaway bills. Read count analysis, data model denormalization, Cloud Function right-sizing, Realtime Database for high-frequency updates that don't belong in Firestore.
Firebase to Supabase when Firestore's document model no longer fits. Data remodeled for PostgreSQL, auth migrated, real-time replaced with Supabase subscriptions. Incremental, not a flag-day cutover.
Ongoing billing monitoring, security rule reviews, and Cloud Function health checks — so the backend we optimized doesn't quietly drift back into the runaway costs and open rules we were hired to fix.
The playbook
Patterns from real production apps, not quickstart tutorials.
P01
Rules in Git, tested with the Firebase Emulator Suite, deployed via CI. Role-based access with custom claims. No test-mode rules surviving past development.
P02
User stats precomputed via Cloud Function triggers. Aggregations stored as documents, not calculated on read. Every hot-path query reads one document, not fifty.
P03
Critical functions configured with min instances to eliminate cold starts. Non-critical functions on default scaling. Cold start latency managed by priority, not ignored entirely.
P04
Every screen's read count measured. Composite documents replacing multi-document fetches. Pagination enforced. `onSnapshot` listeners limited to what's actually visible on screen.
P05
Budget alerts at 50%, 75%, and 100% of expected spend. Per-feature cost attribution via BigQuery export. No runaway Cloud Function loop discovered on the invoice three weeks later.
P06
Every developer runs against the Firebase Emulator, not production. Security rules, Cloud Functions, and Firestore triggers tested locally before deploy.
Signature case
A B2C social app on Firebase — 45,000 DAU generating 180 million Firestore reads/month, no denormalisation, every feed load reading 40+ documents, test-mode security rules live in production for 8 months, and Cloud Functions with 8-second average cold starts. Denormalised the data model, consolidated feed reads into composite documents, hardened security rules, configured min instances on critical functions in 6 weeks. Reads dropped 76%. Bill dropped 76%. Cold starts eliminated.
Before
180M reads/mo · 40+ docs per feed load · test-mode rules · 8s cold starts · $2,800/mo
After
43M reads/mo · 1 composite doc per feed · role-based rules · 0 cold starts · $680/mo
Industries we serve
We've delivered Firebase development services for social and consumer apps, media and entertainment, education, and logistics — anywhere real-time sync and mobile-first architecture genuinely matter.
Engagement shape
Feature by feature. The current app stays live the entire time we work.
Two senior Firebase developers. Firestore read audit, security rules review, Cloud Functions profiling, billing analysis. A ranked, dollarized plan.
Security rules hardened, top read-heavy screens denormalized, billing alerts configured. Measurable cost reduction visible in week two.
Data model optimized, Cloud Functions refactored, new features built. Your app keeps running throughout.
Billing dashboard configured, security rules in CI. Runbook handed to your team — or we stay on for Firebase support and maintenance.
Stack
Our default Firebase development stack — picked for production apps.
Verified feedback from Upwork, Clutch, and reference calls we're happy to set up before you sign anything.
CEO, Modestly
Entalogics has successfully delivered extension prototypes on time, and we are impressed with their project management and the finished product. The client communicates with Entalogics via virtual meetings, email, and messaging apps.
Founder, Flourish Schools
Collaborating with Entalogics was a great experience. Communication was clear, we aligned quickly, and their team delivered high-quality code on time with thoughtful technical decisions.
CTO, SentryBay
Their Chromium expertise helped us ship a hardened browser with live threat controls and enterprise rollout support. Security operations became significantly faster.
Founder, G3 Ventures LLC
Entalogics delivered our custom Electron browser in six months with isolated profile workflows and stable policy sync. Agent onboarding improved by 55% after rollout.
Project Manager, Sociall
Entalogics built our iOS Chromium-based mobile app with a smooth native feel, stable media rendering, and reliable sync. We shipped faster and improved engagement after launch.
RozmeriGPT
The web dashboard and Chrome extension now share prompts, billing, and analytics in one platform. Our content turnaround improved 4x after launch.
Project Manager, Omni Browser
Entalogics built our Omni Browser on top of Chromium with deep product-level execution. They implemented an integrated VPN and Omni Crypto Wallet directly in the browser, made strong architectural decisions, and delivered quality code on schedule with clear communication.
Project Manager, Digital Office: Aura
Entalogics built Digital Office: Aura as a custom Chromium-based authentication platform. Their team modified Chromium internals and integrated our manual custom authentication flow with reliable implementation, fast delivery, and consistent communication.
Engagement
No hourly billing for thinking time. Fixed quote or a transparent monthly rate.
Fixed scope, fixed price, senior-only team. Data model to production in 6-10 weeks.
FIXED SCOPE
Senior Firebase and Cloud Functions engineers embedded in your Slack, your standups. Pause, resize, or exit with 30 days' notice.
PER ENGINEER
A standing partner for Firebase-powered products — cost optimization, security hardening, migration planning, hiring help.
PROCUREMENT-FRIENDLY
Senior engineers
Thirty minutes with a senior Firebase developer, the relevant playbook, and a candid read on whether Firebase is the right backend, or Supabase, a custom backend, or a different BaaS fits your product better.
