Azure Table Storage
If you need to store structured data that doesn't fit neatly into a relational database — device telemetry, audit logs, session data, configuration records — Azure Table Storage gives you billions of rows for a fraction of the cost of SQL. The catch is that getting partition design wrong makes it painfully slow. We've seen it enough times to know exactly where the pitfalls are, and we design around them from the start.
- NoSQL
- Partitioning Strategy
- High Performance
- Cost Effective
Clients who replace over-engineered SQL setups with properly designed Table Storage typically cut storage costs by 60–80% while improving query times for the right access patterns. The savings compound as data volume grows.
What We Actually Build
Table Storage is often underestimated because it looks too simple. But simple is the point — it scales horizontally to petabytes, charges pennies per gigabyte, and returns single-entity lookups in milliseconds when the partition key is designed correctly.
Partition Strategy Design
The right partition key is everything. We model your access patterns upfront so queries hit a single partition rather than scanning the whole table.
Query Optimization
Row keys, entity properties, and query filters structured to avoid expensive full-table scans and stay within throughput limits.
Data Migration & Import
Moving from SQL, CSV, Cosmos DB, or another storage? We handle migration with validation at every step and rollback plans ready.
Security & Access Control
SAS tokens, managed identity access, key rotation, and private endpoint configuration done properly — not as an afterthought.
How We Work
- 1
Access Pattern Analysis
We model exactly how your application reads and writes — this determines the partition and row key strategy for everything that follows.
- 2
Schema Design
Entity design, property types, composite keys, and transaction groups defined before any data lands.
- 3
Implementation & Testing
SDK integration, connection configuration, and load testing against your expected query patterns.
- 4
Migration & Go-Live
Data migrated with validation counts, old system decommissioned on your timeline, and monitoring put in place.
What You Get
Storage account and table structure fully configured
Partition and row key strategy documented and tested under load
SDK integration code with connection management best practices
SAS token or managed identity auth configured
Query pattern documentation and performance test results
Cost estimate and ongoing monitoring setup
Who This Is For
IoT and telemetry data at scale
Device readings, sensor events, or GPS coordinates — millions of rows a day stored cheaply and queried by device ID and timestamp without a full database.
Audit logs and compliance data
Append-only audit trails with timestamps and user context — stored at scale, queryable by date range and entity, immutable by design.
Application configuration and feature flags
Per-tenant settings, feature toggles, and dynamic config stored in Table Storage and read in milliseconds — no relational database overhead.
Common Questions
Ready to Get Started?
No sales pitch, no long contracts. Just a free call to understand what you need and whether we're the right fit.
Book a Free Consultation