alekseialeinikov.com
Free, privacy-first tools for Google Cloud, Kubernetes and DevSecOps — IAM checks, cost estimates and more. Everything runs in your browser.
First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com
Answer 3 · Act 5 · Transact 0 · Score: Not yet scored
Tool inspector
recommend_gcp_database
Recommend the best Google Cloud database for a workload — Cloud SQL, AlloyDB, Spanner, Firestore, Bigtable, BigQuery or Memorystore — with why it fits, when not to use it and the strongest alternatives. Every field is optional; more answers give a sharper result.
Page: /en/tools/
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
model |
string | no | What shape is your data? relational = Relational; document = Documents; keyvalue = Key–value; wide = Wide-column; analytical = Analytical |
access |
string | no | How is it accessed? oltp = Transactions (OLTP); olap = Analytics (OLAP); realtime = Real-time sync; cache = Cache / sessions |
scale |
string | no | What scale do you need? small = Modest; throughput = Huge throughput; petabyte = Petabytes; global = Global |
consistency |
string | no | Consistency needs? strong = Strong; eventual = Eventual is fine |
existing |
string | no | Existing engine? postgres = PostgreSQL; mysql = MySQL; sqlserver = SQL Server; greenfield = Greenfield |
ops |
string | no | Operational model? serverless = Serverless; managed = Managed instance; global = Globally distributed |
Raw JSON schema
{
"type": "object",
"properties": {
"model": {
"type": "string",
"enum": [
"relational",
"document",
"keyvalue",
"wide",
"analytical"
],
"description": "What shape is your data? relational = Relational; document = Documents; keyvalue = Key–value; wide = Wide-column; analytical = Analytical"
},
"access": {
"type": "string",
"enum": [
"oltp",
"olap",
"realtime",
"cache"
],
"description": "How is it accessed? oltp = Transactions (OLTP); olap = Analytics (OLAP); realtime = Real-time sync; cache = Cache / sessions"
},
"scale": {
"type": "string",
"enum": [
"small",
"throughput",
"petabyte",
"global"
],
"description": "What scale do you need? small = Modest; throughput = Huge throughput; petabyte = Petabytes; global = Global"
},
"consistency": {
"type": "string",
"enum": [
"strong",
"eventual"
],
"description": "Consistency needs? strong = Strong; eventual = Eventual is fine"
},
"existing": {
"type": "string",
"enum": [
"postgres",
"mysql",
"sqlserver",
"greenfield"
],
"description": "Existing engine? postgres = PostgreSQL; mysql = MySQL; sqlserver = SQL Server; greenfield = Greenfield"
},
"ops": {
"type": "string",
"enum": [
"serverless",
"managed",
"global"
],
"description": "Operational model? serverless = Serverless; managed = Managed instance; global = Globally distributed"
}
}
}
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