The complete AWS managed database portfolio — RDS, Aurora, DynamoDB, ElastiCache, Redshift, DocumentDB, Neptune, Timestream, and DMS migration. AWS-certified architects. Mumbai & Hyderabad regions. Free assessment.
MySQL · PostgreSQL · MariaDB · Oracle · SQL Server · Db2 · Aurora 5× MySQL throughput
Serverless · Single-digit ms latency · DAX caching · Global Tables · Streams · PartiQL
Petabyte-scale warehouse · Serverless · Spectrum (S3 queries) · ML integration
Zero-downtime migration · CDC replication · Schema Conversion Tool · 200+ migrations done
AWS managed database services are a portfolio of 15+ purpose-built database engines — from relational (RDS, Aurora) and NoSQL (DynamoDB, DocumentDB) to in-memory caching (ElastiCache, MemoryDB), data warehousing (Redshift), graph (Neptune), time-series (Timestream), and ledger (QLDB). AWS handles provisioning, patching, backups, replication, and failover — so your team focuses on application logic, not database administration.
PrecisionTech is an Authorized AWS Partner delivering end-to-end database services in India — engine selection, architecture design, DMS migration, performance tuning, 24×7 managed DBA operations, and cost optimization. With 30+ years of IT infrastructure experience and AWS-certified database architects, we ensure your data layer is fast, resilient, and cost-optimized.
Flexible engagement models · All include free database assessment
Assessment &
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Managed DBA
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Enterprise Database
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AWS usage costs (RDS, Aurora, DynamoDB, Redshift, data transfer, etc.) are billed separately by AWS or via PrecisionTech consolidated billing. Contact us for custom engagement scoping. All engagements exclude applicable GST.
AWS offers 15+ purpose-built database engines — each optimized for specific data models, access patterns, and performance requirements. Unlike one-size-fits-all database solutions, AWS's approach is "use the right tool for the job": relational databases for structured data with complex joins, NoSQL for flexible schemas at massive scale, in-memory caches for sub-millisecond access, columnar warehouses for petabyte analytics, graph databases for relationship-heavy queries, and time-series databases for IoT and DevOps metrics.
At the core is Amazon RDS — supporting MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, and Db2 with automated provisioning, patching, backups, and Multi-AZ failover. Amazon Aurora extends RDS with a cloud-native storage engine delivering 5× MySQL and 3× PostgreSQL throughput, plus features like Serverless v2 auto-scaling and Global Database cross-region replication. For NoSQL at scale, DynamoDB delivers consistent single-digit millisecond latency at any throughput level with zero operational overhead.
As an Authorized AWS Partner in India, PrecisionTech designs, migrates, and manages complete database architectures — selecting the right engine for each workload, executing zero-downtime migrations with DMS and SCT, configuring Multi-AZ failover and read replicas, deploying caching layers with ElastiCache, building analytics pipelines with Redshift, and providing 24×7 managed DBA operations with Performance Insights monitoring and proactive optimization.
Fully managed relational databases — MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, Db2. Multi-AZ failover, automated backups with 35-day PITR, up to 5 read replicas, Performance Insights, RDS Proxy for connection pooling, and automated minor version patching.
Get Quote →Cloud-native MySQL/PostgreSQL-compatible engine — 5× MySQL throughput, 3× PostgreSQL throughput. Up to 15 read replicas with ms-level lag. Aurora Serverless v2 for auto-scaling. Aurora Global Database for cross-region DR. Aurora DSQL for distributed active-active writes.
Get Quote →Serverless key-value and document database — single-digit ms latency at any scale. DAX in-memory caching for microsecond reads. Global Tables for multi-region active-active. DynamoDB Streams for CDC. PartiQL SQL-compatible queries. On-demand or provisioned capacity modes.
Get Quote →In-memory caching and databases — ElastiCache with Redis OSS, Valkey, and Memcached for sub-millisecond application caching. MemoryDB for Redis-compatible durable in-memory primary databases. Session stores, real-time leaderboards, rate limiting, and recommendation engines.
Get Quote →Petabyte-scale columnar data warehouse with MPP architecture. Redshift Serverless for pay-per-query analytics. Redshift Spectrum to query S3 data lakes directly. Built-in ML (CREATE MODEL). Materialized views, data sharing across clusters, and concurrency scaling.
Get Quote →MongoDB-compatible document database with Aurora-style distributed storage — 6 copies across 3 AZs. Auto-scaling storage to 128 TB. Elastic Clusters for automatic sharding. Native VPC, IAM, KMS integration. Compatible with MongoDB 3.6/4.0/5.0 drivers and tools.
Get Quote →Fully managed graph database supporting property graph (Gremlin, openCypher) and RDF (SPARQL). Neptune Analytics for graph algorithms (PageRank, shortest path, community detection) and vector search. Fraud detection, social networks, knowledge graphs, and identity management.
Get Quote →End-to-end database migration with AWS DMS — homogeneous and heterogeneous. Full-load + CDC continuous replication for zero-downtime cutover. Schema Conversion Tool (SCT) for cross-engine migrations. Support for Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, and S3 sources.
Get Quote →Engine selection advisory, schema design review, query optimization, index tuning, Multi-AZ and read replica topology, caching strategy (ElastiCache/DAX), backup and DR design, Performance Insights analysis, RI procurement, and monthly cost optimization reports.
Get Quote →| Service | Type | Best For | Serverless? | India Regions |
|---|---|---|---|---|
| Amazon RDS | Relational (SQL) | Transactional apps, ERP, CRM, web backends | — | ✅ Both |
| Amazon Aurora | Relational (Cloud-native) | 5× MySQL / 3× PostgreSQL, high throughput | ✅ Serverless v2 | ✅ Both |
| Amazon DynamoDB | Key-Value / Document | High-scale apps, gaming, IoT, session stores | ✅ Fully | ✅ Both |
| Amazon ElastiCache | In-Memory Cache | Caching, sessions, leaderboards, rate limiting | ✅ Serverless | ✅ Both |
| Amazon MemoryDB | In-Memory Database | Durable in-memory primary DB, streaming | — | ✅ Mumbai |
| Amazon Redshift | Data Warehouse (OLAP) | BI, analytics, reporting, data lake queries | ✅ Serverless | ✅ Mumbai |
| Amazon DocumentDB | Document (MongoDB) | Content management, catalogs, user profiles | ✅ Elastic | ✅ Mumbai |
| Amazon Neptune | Graph | Fraud detection, social networks, knowledge graphs | ✅ Serverless | ✅ Mumbai |
| Amazon Keyspaces | Wide Column (Cassandra) | IoT, time-series, activity logs, playlists | ✅ Fully | ✅ Mumbai |
| Amazon Timestream | Time-Series | IoT telemetry, DevOps metrics, fleet tracking | ✅ Fully | ✅ Mumbai |
| Amazon QLDB | Ledger | Audit trails, supply chain, financial records | ✅ Fully | ⚠️ Sunset |
| Feature | Standard RDS | Amazon Aurora |
|---|---|---|
| Supported Engines | MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, Db2 | MySQL-compatible, PostgreSQL-compatible |
| Performance | Standard engine performance | Up to 5× MySQL / 3× PostgreSQL |
| Storage Architecture | Single-AZ EBS volume | 6 copies across 3 AZs, self-healing |
| Max Storage | 64 TB (gp3/io2) | 128 TB auto-scaling |
| Read Replicas | Up to 5 (async, seconds lag) | Up to 15 (ms-level lag) |
| Failover Time | 60–120 seconds | Under 30 seconds |
| Serverless | — | ✅ Aurora Serverless v2 |
| Global Database | Cross-region read replicas | ✅ <1 second cross-region replication |
| Backtrack | — | ✅ Rewind DB in seconds |
| Best For | Broad engine support, Oracle/SQL Server | Max MySQL/PostgreSQL performance |
| If You Need… | Use This Service | Example Workloads | PrecisionTech Recommendation |
|---|---|---|---|
| Relational SQL with specific engine | Amazon RDS | Oracle ERP, SQL Server BI, MySQL web apps | ✅ Default for RDBMS |
| Max MySQL/PostgreSQL performance | Amazon Aurora | High-throughput SaaS, e-commerce, fintech | ✅ Best relational |
| Infinite scale, flexible schema | Amazon DynamoDB | Gaming, IoT, session stores, product catalogs | ✅ Best NoSQL |
| Sub-millisecond caching | Amazon ElastiCache | API caching, session cache, leaderboards | ✅ Cache layer |
| Durable in-memory database | Amazon MemoryDB | Real-time streaming, durable session store | ✅ When durability needed |
| Petabyte analytics / BI | Amazon Redshift | Data warehouse, dashboards, historical reports | ✅ Best analytics |
| MongoDB-compatible documents | Amazon DocumentDB | Content management, user profiles, catalogs | ✅ If on AWS |
| Graph relationships / fraud | Amazon Neptune | Fraud detection, social graphs, knowledge base | ✅ Graph workloads |
| Time-series / IoT metrics | Amazon Timestream | Sensor data, DevOps metrics, fleet tracking | ✅ Time-series only |
| Database migration to AWS | AWS DMS + SCT | Oracle→Aurora, SQL Server→PostgreSQL | ✅ All migrations |
PrecisionTech deploys production databases on ap-south-1 (primary) + ap-south-2 (DR) for DPDP Act 2023, RBI, and SEBI data localisation compliance.
Aurora PostgreSQL for core banking transactions with Multi-AZ failover. DynamoDB for real-time payment processing at millions of TPS. Neptune for fraud detection across transaction graphs. Redshift for regulatory reporting. RBI data localisation in ap-south-1. Encryption at rest and in transit with KMS.
Aurora MySQL for order management and inventory. DynamoDB for product catalogue with single-digit ms lookups across millions of SKUs. ElastiCache Redis for cart sessions and recommendation caching. Redshift for sales analytics and demand forecasting. DMS migration from on-premises MySQL/Oracle.
RDS PostgreSQL with encryption and HIPAA-eligible configuration for patient records. DocumentDB for flexible medical document storage. Timestream for patient monitoring device telemetry. Neptune for drug interaction analysis. Multi-AZ and cross-region backups for DPDP Act compliance.
DynamoDB for player profiles, game state, and leaderboards at millions of concurrent players. ElastiCache for real-time session data and matchmaking caches. Aurora for in-game transaction processing. Timestream for game telemetry and player behaviour analytics. Global Tables for worldwide low-latency access.
Aurora Serverless v2 for multi-tenant databases that scale with customer demand. DynamoDB for per-tenant metadata and configuration. ElastiCache for API response caching and rate limiting. Redshift for customer-facing analytics dashboards. RDS Proxy for managing thousands of concurrent connections from microservices.
Timestream for high-volume sensor data ingestion at millions of data points per second. DynamoDB for device registry and state management. Keyspaces for time-series event logs. ElastiCache for real-time aggregation. Redshift Spectrum for historical telemetry analysis across S3 data lakes.
| What You Get | PrecisionTech | AWS Direct | Generic IT Vendor |
|---|---|---|---|
| Authorized AWS APN Partner | ✅ Yes | ✅ Yes (1st party) | ⚠️ May not be |
| Database engine selection advisory | ✅ Included | ❌ Self-service | ⚠️ Limited |
| DMS migration with zero-downtime cutover | ✅ Fully managed | ❌ Self-service | ⚠️ Basic only |
| Aurora + DynamoDB architecture design | ✅ Included | ❌ Self-service | ❌ Rarely |
| Performance Insights monitoring + query tuning | ✅ 24×7 | ❌ Self-service | ⚠️ Basic |
| ElastiCache/MemoryDB caching layer design | ✅ Included | ❌ Self-service | ❌ No |
| RI / Savings Plans procurement | ✅ Managed | ✅ Self-service | ⚠️ Limited |
| 24×7 India-based DBA support | ✅ Included | ❌ Extra cost | ⚠️ Extra cost |
| Monthly cost optimization report | ✅ Yes | ❌ No | ⚠️ Rarely |
| Local support in India | ✅ Yes | ❌ Global call | ⚠️ Varies |
| 30-year track record in India | ✅ Since 1995 | ❌ N/A | ⚠️ Varies |
We evaluate your current database landscape — engines, schemas, data volumes, query patterns, compliance needs — and design the target AWS architecture. Engine selection (RDS vs Aurora vs DynamoDB vs purpose-built), Multi-AZ topology, caching strategy, and migration approach. Deliverable: architecture diagram + migration plan within 72 hours.
Our certified DBAs execute the migration using DMS (full load + CDC) and SCT for schema conversion. We deploy production databases with Multi-AZ failover, encryption (KMS), automated backups (35-day PITR), Performance Insights, read replicas, and ElastiCache caching layers. Cutover orchestrated with minimal downtime.
PrecisionTech provides 24×7 managed DBA operations — Performance Insights monitoring, slow query optimization, index tuning, storage auto-scaling management, RI procurement, automated patching, backup verification, and monthly executive reports with performance trends and cost analysis.
| Feature | AWS (RDS/Aurora) | Google Cloud SQL/Spanner | Azure SQL/Cosmos DB |
|---|---|---|---|
| Relational Engines | 6 engines (MySQL, PG, Oracle, etc.) | MySQL, PostgreSQL, SQL Server | SQL Server, MySQL, PG, MariaDB |
| Cloud-Native Relational | ✅ Aurora (5× MySQL) | ✅ Spanner (global) | ✅ Hyperscale |
| NoSQL / Document | ✅ DynamoDB + DocumentDB | ✅ Firestore + Bigtable | ✅ Cosmos DB (multi-model) |
| In-Memory Cache | ✅ ElastiCache + MemoryDB | ✅ Memorystore | ✅ Azure Cache for Redis |
| Data Warehouse | ✅ Redshift (petabyte) | ✅ BigQuery (serverless) | ✅ Synapse Analytics |
| Graph Database | ✅ Neptune | ❌ None (use Neo4j on GCE) | ✅ Cosmos DB Gremlin |
| Migration Service | ✅ DMS + SCT (most complete) | ✅ Database Migration Service | ✅ Azure DMS |
| India Regions | Mumbai + Hyderabad (2) | Mumbai (1) | Pune + Mumbai + Chennai (3) |
| Serverless Options | Aurora Sv2, DynamoDB, Redshift | Spanner, BigQuery, Firestore | Cosmos DB, SQL Serverless |
AWS leads in engine variety (15+ services), DMS migration maturity, and purpose-built database breadth. PrecisionTech recommends AWS databases for most Indian enterprise workloads.
Every database capability PrecisionTech configures, deploys, and manages for Indian businesses
Explore the full range of AWS cloud services PrecisionTech delivers — from compute and storage to AI/ML, DevOps, security, and cost optimization. 200+ services, two India regions, and 30+ years of expertise.
Learn more →Amazon EC2 compute with 700+ instance types, Graviton ARM processors for 40% better price-performance, Auto Scaling groups with predictive scaling, Spot Fleet management, and Elastic Load Balancing across multiple AZs.
Learn more →Amazon S3 object storage with 11 nines durability — Standard, Intelligent-Tiering, Glacier for archival. Data lake architecture, backup targets, static website hosting, and cross-region replication for DR.
Learn more →End-to-end AWS security — IAM governance, GuardDuty threat detection, Security Hub, WAF, Shield, CloudTrail audit logging. Compliance mapping for DPDP Act, RBI, SEBI, HIPAA, PCI-DSS, and ISO 27001.
Learn more →AWS DevOps services — CodePipeline, CodeBuild, CodeDeploy, CDK, Terraform. Infrastructure as Code, blue-green deployments, container orchestration with ECS/EKS, and GitOps workflows for continuous delivery.
Learn more →Serverless compute with AWS Lambda — run code without provisioning servers. Event-driven architecture with API Gateway, DynamoDB, S3 triggers. Pay per millisecond. Scale from zero to millions of requests.
Learn more →Rated 4.9 / 5 from 214+ managed database engagements across India
★★★★★"PrecisionTech migrated our on-premises Oracle database to Amazon Aurora PostgreSQL using DMS with zero downtime. Read latency dropped from 12ms to under 2ms with Aurora read replicas. Our monthly database costs fell 62% after moving off Oracle licensing. The Aurora Serverless v2 configuration they designed scales our dev/test environments to zero during off-hours — we only pay when developers are actually working."
★★★★★"PrecisionTech architected our entire database layer on AWS — Aurora MySQL for transactional data, DynamoDB for product catalogue and session store, ElastiCache Redis for cart and recommendation caching, and Redshift for analytics. During our Diwali sale, DynamoDB handled 47,000 reads/second with single-digit millisecond latency. The caching layer reduced Aurora load by 80%. Absolutely production-grade architecture."
★★★★★"We needed a HIPAA-compliant database architecture for our patient records platform. PrecisionTech deployed RDS PostgreSQL Multi-AZ with encryption at rest (KMS), SSL enforcement, IAM database authentication, and Performance Insights monitoring. They also set up DMS continuous replication to Redshift for our analytics team. The automated backup and point-in-time recovery setup gives us complete peace of mind for compliance audits."
Reviews represent actual client feedback from PrecisionTech database service engagements. Names shortened for privacy.
Expert guides on database engine selection, migration strategies, and performance optimization — curated by PrecisionTech's AWS-certified database architects.
A practical decision framework for choosing between RDS, Aurora, DynamoDB, DocumentDB, Neptune, Redshift, and ElastiCache — with Indian workload benchmarks for e-commerce, fintech, healthcare, and SaaS applications.
Request the Guide →Step-by-step migration from Oracle Database to Amazon Aurora PostgreSQL — SCT schema conversion, DMS data replication, PL/SQL to PL/pgSQL conversion patterns, testing strategies, and production cutover with rollback plans.
Get the Playbook →Single-table design patterns, Global Secondary Index strategies, DynamoDB Streams for event-driven architectures, DAX caching for sub-millisecond reads, and cost optimization with on-demand vs provisioned capacity for Indian scale workloads.
Download the Patterns →When to choose Serverless v2 vs provisioned Aurora — ACU sizing strategies, minimum/maximum ACU configuration, cost comparison calculations, and real-world case studies from Indian SaaS platforms with 10× daily traffic variation.
Get the Analysis →A comprehensive checklist for securing AWS databases — KMS encryption, IAM authentication, SSL enforcement, VPC isolation, audit logging, data residency controls, and compliance mapping to DPDP Act 2023, RBI data localisation, and SEBI guidelines.
Get the Checklist →Cache-aside, write-through, and write-behind patterns with ElastiCache Redis. Sizing guide for node types, cluster mode, and replication. Integration patterns with RDS, Aurora, and DynamoDB. Cache invalidation strategies and TTL design.
Read the Guide →Everything you need to know about Amazon RDS, Aurora, DynamoDB, Redshift, ElastiCache, DMS migration, and how PrecisionTech manages databases for businesses in India.
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