DATABASE INTELLIGENCE CENTER

Pick a platform. Read the release, risk, and engineering evidence.

Each database view separates current release posture, security evidence, engineering checks, and vendor-published production use cases. Progress is stored only in this browser.

AMAZON AURORA POSTGRESQL · CLOUD PLAN --:--:-- UTC

CLOUD BLUEPRINT

Aurora PostgreSQL engineering

Treat Aurora PostgreSQL as a managed AWS database platform: validate architecture, failover behavior, performance, upgrades, backup/recovery, observability, and migration patterns.

NEXT READ-ONLY ACTION Capture engine version, topology, parameter groups, endpoints, monitoring configuration, and recovery settings before proposing changes.
Engineering readiness 0%

EVIDENCE SNAPSHOT · VERIFIED 05 SEP 2026

Aurora PostgreSQL intelligence

Published versions can vary by AWS Region. Validate the exact engine version before planning an upgrade.

Source discipline · Official vendor material only

ENGINEERING · COST REFERENCE · VERIFIED 05 SEP 2026

100 production databases. One honest cost view.

Public pricing references are shown only where the source supports them. Database count alone does not determine Processor, PVU, vCPU, instance, storage, I/O, replica, or cluster quantities.

Estate100 production databases
Size range10 GB → 60 TB
DR requirement30 databases
Decision ruleCost is reference only
NO FAKE TCO

Database count alone is not the licensing or infrastructure quantity. Each benchmark below states the unit being multiplied—PVU, Processor, vCPU, instance configuration, or cluster—so the reference stays comparable without presenting it as an estate quote.

Platform Verified public reference 100-unit reference benchmark What is actually known
IBM Db2 12.1 AESERELATIONAL · ON-PREM
IBM: AESE 12.1 uses PVU.
SHI current selling price: $1,805 / PVU
SHI also lists MSRP $1,509 / PVU. The page is a current AESE 1-PVU reseller listing and is marked EOL by SHI; it does not state Db2 12.1. IBM separately confirms that AESE remains available in Db2 12.1 under the PVU metric.
100-PVU benchmark:SHI selling price: $180,500
SHI-listed MSRP: $150,900
Db2 12.1 AESE uses PVU licensing. The dollar benchmark is from SHI, not an IBM contract quote; actual estate cost depends on licensed PVU quantity.
Oracle Database EERELATIONAL · ON-PREM
EE: $47,500 / Processor
RAC: +$23,000 / Processor
GoldenGate: $17,500 / Processor
Active Data Guard: +$11,500 / Processor
Oracle Technology Global Price List dated August 3, 2026. GoldenGate licensing includes Active Data Guard rights; do not add the ADG option again when GoldenGate is licensed.
100-Processor benchmarks:EE: $4.75M
EE + RAC: $7.05M
EE + Active Data Guard: $5.90M
EE + GoldenGate: $6.50M
EE + RAC + GoldenGate: $8.80M
These are list-price arithmetic benchmarks for 100 Processor licenses of each listed component. Actual estate licensing still depends on licensable Processors, core factors, topology, option use, GoldenGate source/target rules, and contract terms.
PostgreSQL + PatroniRELATIONAL · SELF-MANAGED
PostgreSQL software license: $0
Patroni software license: $0
PostgreSQL permits use without fee; Patroni is MIT licensed.
$0 database/Patroni software licenseInfrastructure, DCS, support, backup, monitoring, labor, and operations are separate. Software-license cost is zero. Total operating cost is not zero and cannot be derived from database count alone.
EDB PostgresRELATIONAL · MANAGED
Advanced Server HA: $0.2568 / vCPU-hour
Advanced Server distributed HA: $0.3424 / vCPU-hour
EDB states cloud infrastructure is billed separately by the cloud provider when using the customer's cloud account.
100-vCPU benchmark:Advanced Server HA: ≈ $18,746/mo · $224,957/yr
Distributed HA: ≈ $24,995/mo · $299,942/yr
These figures use EDB's published per-vCPU database-service rates and 730 hours/month. Cloud infrastructure, storage, transfer, replica count, and data-node count remain separate.
Amazon RDS PostgreSQLRELATIONAL · AWS
AWS Prescriptive Guidance example: $742 / month
Published AWS modernization example; us-east-1 with the source's stated instance, throughput, IOPS, and storage assumptions.
100 identical AWS reference configurations:$74,200/mo · $890,400/yr This is a 100× reference multiplication of AWS's published example, not a claim that 100 databases require 100 RDS instances.
Amazon RDS MySQLRELATIONAL · AWS
AWS Prescriptive Guidance example: $712 / month
Published AWS modernization example; us-east-1 with the source's stated instance, throughput, IOPS, and storage assumptions.
100 identical AWS reference configurations:$71,200/mo · $854,400/yr This is a 100× reference multiplication of AWS's published example, not a claim that 100 databases require 100 RDS instances.
Aurora Global DatabasePOSTGRESQL / MYSQL · AWS
AWS example — Standard: $664.88 / month
AWS example — I/O-Optimized: $861.80 / month
Example: 2 db.r6i.large in US East (N. Virginia), 1 in US West (Oregon), 80 GB in each Region, and AWS-stated I/O assumptions.
100 identical AWS examples:Standard $66,488/mo · $797,856/yr
I/O-Optimized $86,180/mo · $1,034,160/yr
This is exact arithmetic from AWS's published example. It is not a quote for your 100 databases and is not an engine-specific estate estimate.
MongoDB Atlas M30DOCUMENT · MANAGED
M30 base price: $0.54 / hour
MongoDB states provider, Region, storage and usage affect cost.
100 separate M30 clusters:$39,420/mo · $473,040/yr at 730 hours/month. This is a 100-cluster base-price reference, not a 100-database TCO. Multiple databases can exist within a cluster.
Amazon DocumentDBDOCUMENT · AWS
AWS Standard example: $449.42 / month
AWS I/O-Optimized example: $459.86 / month
Both use two db.r5.large instances and 50 GB data; AWS's Standard example uses 200M I/Os/month while the I/O-Optimized example uses 1,000M.
100 identical AWS examples:Standard $44,942/mo · $539,304/yr
I/O-Optimized $45,986/mo · $551,832/yr
Exact multiplication of two different AWS examples. Do not use the two totals as an equal-workload Standard-vs-I/O-Optimized comparison.
Bottom line: cost is reference only.

The application requirement remains the design authority. Compatibility, availability, RTO/RPO, performance, security, support model, migration effort and operational ownership must be satisfied before cost can decide between viable platforms.

Verified pricing and licensing sources

ENGINEERING TRACKS

Core platforms, separated by operating model.

Local database labs stay local. AWS-managed services stay cloud-native. The site does not blur those boundaries.

03 · POSTGRESQL

PostgreSQL

Self-managed PostgreSQL engineering centered on internals, performance, replication, backup/recovery, and operational troubleshooting.

  • WAL and streaming replication
  • Query plans and indexing
  • Vacuum, bloat, and statistics
  • Base backups and PITR
04 · DB2 LINUX

Three-VM DB2 Linux Lab

Primary, HADR standby, and quorum/utility roles for safe exploration of availability, recovery, performance, and operational behavior.

  • HADR state and log shipping
  • Pacemaker concepts and quorum
  • Backup and restore validation
  • Performance and diagnostics
05 · ORACLE

Three-VM Oracle Lab

Primary, standby, and utility/test roles for recovery engineering, Data Guard concepts, patching discipline, and database-native operations.

  • RMAN and recovery validation
  • ARCHIVELOG and workload generation
  • Data Guard concepts
  • ASM, patching, and diagnostics
06 · AUTOMATION

Ansible Control Plane

Use automation for repeatable discovery and orchestration while keeping database-native operations in the correct database utilities.

  • Inventories and variables
  • Roles and idempotency
  • Secret boundaries
  • CI/CD-ready workflows
07 · DOCUMENT DATABASE

Amazon DocumentDB

MongoDB-compatible document database engineering with compatibility assessment, migration design, validation, security boundaries, and recovery evidence.

  • MongoDB API and driver compatibility
  • Offline, online, and hybrid migration
  • Index and query validation
  • AWS DMS full load and CDC
AWS · MODERNIZATION

Database Migration & Automation

AWS DMS, infrastructure automation, monitoring, and controlled modernization workflows around the database platforms.

  • AWS DMS full load and CDC concepts
  • Validation and performance evidence
  • Infrastructure as Code patterns
  • Cloud monitoring and diagnostics
Explore AWS layer →

NON-NEGOTIABLES

Safe by design.

This site publishes concepts and sanitized examples. It must never contain real credentials, private keys, account IDs, internal hostnames, production data, or unreviewed destructive commands.

READ-ONLY first

Discover facts and establish evidence before changing configuration.

Manual gates

Require explicit approval for restore, failover, corruption, and other impact tests.

Isolated testing

Never run destructive learning scenarios against production systems.

Evidence over guesses

Record versions, outputs, timestamps, assumptions, and observed results.