Our Azure Cosmos DB development services and consulting exist for applications that need sub-10ms reads across continents, multi-model flexibility, and elastic scale that relational databases can't match. Data models designed around your actual query patterns, not forced into a relational shape. We build on Cosmos DB with the cost discipline that turns a powerful database into a sustainable one.
Why Entalogics for Cosmos DB
Every Cosmos DB account we audit has the same problems — a partition key chosen by guessing, cross-partition queries running on every hot path, and a monthly bill climbing 30% with no traffic growth behind it. Cosmos DB is powerful. Most implementations pay for that power without actually using it.
A bad partition key creates hot partitions that burn through 80% of your provisioned RUs while everything else sits idle. We model access patterns before provisioning and choose partition keys that distribute reads and writes evenly — usually the entire difference between a $500 and a $5,000 monthly Cosmos bill.
Cosmos DB isn't relational. Joins are expensive, cross-partition queries are expensive. We model documents around real read patterns — embedding related data, using change feed for materialized views, keeping every hot-path query aligned to a single partition.
Indexing every property by default burns RUs on writes nobody asked it to optimize. We define policies that index only the fields your queries actually filter on — write-heavy workloads typically see 40-60% RU savings from this change alone.
Autoscale for traffic that spikes unpredictably. Provisioned throughput for stable, known patterns. Serverless for development and low-traffic apps. Each tier chosen from measurement, not left on whatever was selected during setup.
When Cosmos DB, when not
Cosmos DB excels at global distribution, elastic scale, and sub-10ms latency — and it punishes a bad data model harder than any relational database ever will. We'll tell you honestly on the first call if Cosmos DB actually fits.
PICK COSMOS DB WHEN
CONSIDER ALTERNATIVES WHEN
WE SAY NO WHEN
What we build on Cosmos DB
Eight ways this work shows up for real clients. Each one modeled for real query patterns and cost-optimized from day one.
eCommerce, gaming, social platforms — high-throughput read/write with sub-10ms latency. Documents modeled around access patterns, not entity relationships copied from an ERD.
Device telemetry ingestion at millions of events per second. Hierarchical partition keys combining device ID and date. TTL for automatic expiration, change feed for real-time analytics.
Vector indexing built directly into Cosmos DB, powering semantic search, recommendation engines, and RAG pipelines alongside your operational data — without standing up a separate vector database.
Active-active multi-region writes with conflict resolution. Users in Tokyo, London, and New York each get sub-10ms reads from their own local replica.
Existing MongoDB workloads running on Cosmos DB's managed infrastructure with zero code changes. Global distribution and elastic scale without managing replica sets yourself.
Accounts with runaway costs. Partition key analysis, indexing policy tuning, throughput right-sizing, and change feed for materialized views that eliminate cross-partition queries entirely.
SQL Server or PostgreSQL data modeled properly for Cosmos DB. Documents denormalized around real query patterns. Change feed replacing triggers. Migration validated against real performance numbers.
Ongoing RU monitoring, indexing policy reviews, and cost audits — so the account we optimized doesn't quietly drift back into the runaway bill we were hired to fix.
The playbook
Patterns from real production deployments, not quickstart tutorials.
P01
Access patterns documented. Read/write ratios measured. Partition key chosen for even distribution and query alignment, never chosen by field name alone.
P02
Only the fields your queries actually filter on get indexed. Composite indexes for ORDER BY queries. Spatial indexes only where geo-queries genuinely exist. The default policy replaced on day one.
P03
A write-optimized container plus change-feed-projected read containers. Every query stays partition-aligned. Cross-partition fan-out eliminated from hot paths.
P04
Tenant ID as the first level, entity type as the second. Data isolated per tenant. Queries scoped to a single logical partition, no cross-partition reads for tenant-specific data.
P05
Autoscale with a known max RU/s ceiling. Budget alerts wired into Azure Cost Management. No surprise bill from a traffic spike that permanently provisioned 100,000 RU/s.
P06
Bulk operations for high-throughput ingestion. Transactional batch for multi-document atomicity within a partition. SDK configured with direct mode and TCP for the lowest latency available.
Signature case
A B2C e-commerce platform on Cosmos DB — monthly bill at $8,200, single partition absorbing 78% of traffic, cross-partition queries on the product listing page, and default indexing policy burning RUs on 40 unused fields. Remodelled the partition key, custom indexing policy, change feed for materialised product views, and autoscale with budget caps in 6 weeks. Monthly bill dropped to $3,100. Latency unchanged at 7ms.
Before
$8,200/mo · hot partition at 78% · cross-partition product queries · default indexing · no autoscale cap
After
$3,100/mo · even distribution · partition-aligned queries · custom indexing · autoscale with cap
Industries we serve
We've delivered Cosmos DB development services for eCommerce, gaming, IoT, healthcare, and financial platforms — anywhere global latency requirements and elastic scale genuinely matter, including HIPAA and PCI-relevant workloads Cosmos DB is built to support.
Engagement shape
Container by container. Your current data stays live the entire time we work.
Two senior Cosmos DB engineers. Partition key analysis, RU consumption profiling, indexing policy review, cost breakdown. A ranked, dollarized plan.
Access patterns modeled, partition keys chosen, indexing policy defined, first container deployed with SDK integration. Real RU consumption measured.
Each container modeled, migrated, and validated. Change feed wired for materialized views. Autoscale configured. Your application keeps running throughout.
Cost dashboard live, indexing policies tuned. Runbook handed to your team — or we stay on for Cosmos DB support and maintenance.
Stack
Our default Cosmos DB development stack — picked for production.
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 modeling to production in 6-12 weeks.
FIXED SCOPE
Senior data architects specializing in Cosmos DB, embedded in your team. Pause, resize, or exit with 30 days' notice.
PER ENGINEER
A standing partner for data-intensive applications — cost optimization, global distribution architecture, AI/vector search strategy, migration planning, hiring help.
PROCUREMENT-FRIENDLY
Senior engineers
Thirty minutes with a senior Cosmos DB engineer, the relevant playbook, and a candid read on whether Cosmos DB is the right database, or Azure SQL, PostgreSQL, or DynamoDB fits your workload better.
