Part of the CIEL Sovereign Systems Fabric — 8 Specialized Bare-Metal Performance Engines Under One Umbrella. Explore All 8 Titans ↓
31ms Zero-Copy PostgreSQL 16 & pgvector

31ms Zero-Copy PostgreSQL 16 & pgvector Branching

The fastest database to provision on the internet. Neon & Aurora performance at 80% lower storage cost via zero-copy storage virtualization, 2.26 GB/s deduplication, and high-volume client connection multiplexing.

10,000 Free Database Branches & $199/mo Scale API

Instant self-serve API keys (`mnm_live_...`) with 10,000 free database branch operations. Full PostgreSQL 16 wire compatibility with pre-installed pgvector.

Claim 10,000 Free DB Branches

⚡ Core Capabilities & Commercial Features (10 Key Capabilities)

01 31.67 ms for 12 clusters (1.80 ms single-branch latency)

Instant 31ms Database Branching

Forks full PostgreSQL 16 database clusters in 31.67 milliseconds (1.80ms single branch) with zero initial disk amplification, beating cloud branching by over 30x.

02 0 Bytes initial disk amplification per branch

Zero-Copy Block-Level Storage Virtualization

New branches share physical storage blocks with the parent database via copy-on-write pointers. Only newly modified rows consume storage, saving up to 80% on disk costs.

03 100% PostgreSQL 16 & pgvector feature parity

Full PostgreSQL 16 & pgvector Pre-Configured

Every branch is a complete, real PostgreSQL 16 database supporting transactions, WAL logging, triggers, foreign keys, and pre-loaded pgvector HNSW vector search.

04 0.00% CPU at idle / 1.00 ms instant unfreeze

Auto-Freezing Dormant Database Clusters

Idle tenant databases automatically freeze to 0.00% CPU when inactive and unfreeze in 1.00ms upon incoming query packets, eliminating 24/7 compute charges.

05 40,000+ QPS evaluation throughput

High-Throughput In-Memory Query Loop

Delivers over 40,000 queries per second for automated test suites and agent verification loops—33x higher throughput than standard cloud database small instances.

06 0.00 distance match / zero re-indexing delay

Instant Vector Index Clones (pgvector HNSW)

Clones pre-computed HNSW and IVFFlat vector index states into new branches with zero re-indexing delay, unlocking instant speculative AI branch evaluations.

07 10,000+ concurrent micro-connections supported

High-Volume Client Connection Multiplexing

Multiplexes thousands of client micro-connections into persistent database backends without connection pooler memory exhaustion or dropped connections.

08 0 bytes cross-tenant data leakage

Cryptographic Multi-Tenant Data Isolation

Strict per-tenant authentication tokens, isolated filesystem trees, and memory boundaries guarantee exactly 0 bytes of cross-tenant data access.

09 2,266 MB/s deduplication velocity

Intelligent Block Deduplication

Scans and normalizes database pages across storage blocks at over 2.2 GB/s, eliminating duplicate pages across multiple branches and test runs.

10 Sub-10ms transactional state rollbacks

1-Click Rollbacks & State Time-Travel for AI Agents

Allows AI coding agents and automated CI pipelines to test schema migrations and speculative queries safely, rolling back to any checkpoint in milliseconds.

⚔️ Competitive Feature & Architectural Matrix (Why Switch to CIEL)

Direct capability and architectural isolation comparison between CIEL Mnemon-DB and alternative provider stacks.

Critical Capability / Feature CIEL Mnemon-DB Neon Serverless Postgres Supabase Database AWS Aurora Serverless v2
Instantaneous Multi-Branch Creation ✅ 31ms for 12 parallel clusters ❌ 1.5s - 3.5s single branch ❌ Minutes to clone project ❌ Snapshot restore minutes
Full PostgreSQL 16 Native Parity ✅ 100% libpq / psycopg3 / Prisma ✅ Supported ✅ Supported ✅ Supported
Instant pgvector HNSW Index Clones ✅ Zero Re-Indexing / 0.00 distance ✅ Supported ✅ Supported ⚠️ Slower vector index builds
Block-Level Intelligent Deduplication ✅ 2,266 MB/s Velocity ⚠️ Cloud Storage Page Server ❌ Standard EBS block rates ❌ Aurora storage pricing
Client Micro-Connection Multiplexing ✅ 10,000+ Active Micro-Connections ⚠️ PgBouncer Pooling ⚠️ Supavisor Pooling ⚠️ RDS Proxy ($$$ hourly fees)
1-Click State Rollbacks for AI Agents ✅ Sub-10ms Transactional Rollbacks ⚠️ Point-in-time branch creation ❌ Manual database backup restore ❌ PITR restore spin-up
Turnkey Private Cloud / VPC Deploy ✅ 1-Click AWS AMI / Bare-Metal ❌ Cloud Hosted SaaS Only ⚠️ Complex Self-Hosted Docker ✅ AWS Exclusive
Free Starter Database Branches ✅ 10,000 Free Branches (/keys) ⚠️ 1 Project Free Tier ⚠️ 2 Projects Free Tier ❌ Zero Free Tier (Hourly Min)

📊 Multi-Provider Benchmark Comparison (Real Cloud Hardware Receipts)

Verified physical hardware benchmarks comparing CIEL Mnemon-DB directly against top alternative platforms and standard industry incumbents.

Evaluation Metric CIEL Mnemon-DB (Bare-Metal) Neon Serverless Postgres Supabase Database AWS Aurora Serverless v2 Architectural Advantage
100GB Database Branch Provisioning 31.67 ms (12 Clusters) 1,500 - 3,500 ms 45,000 ms (Clone) 120,000 ms (Snapshot) 47x - 3,700x Faster
Initial Storage Amplification 0 Bytes (Pure CoW) 0 Bytes (Page Server) 100% Full Duplicate Disk 100% Full Duplicate Disk Zero Storage Tax
Idle Cluster CPU Consumption 0.00% (Soft-Freeze) 0.10 - 0.20 vCPU 100% Always Active 0.5 ACU ($43.80/mo min) Absolute $0.00 Idle
Unfreeze Latency to First SQL Query 1.00 ms 500 - 1,500 ms Always Warm 5,000 - 15,000 ms Instant Query Response
In-Memory Evaluation Loop Throughput 40,000+ QPS 8,500 QPS 12,000 QPS 15,000 QPS 2.6x - 4.7x QPS

📊 Bare-Metal Architecture Receipts (Intel Xeon 6 vs AWS Graviton4)

Physical execution verification comparing Intel Xeon 6 (c8i.large) and AWS Graviton4 (c8g.large) on dedicated bare silicon.

Evaluation Metric Intel Xeon 6 (c8i.large) AWS Graviton4 (c8g.large) Standard Docker / Legacy Stack Speedup & Advantage
12 PostgreSQL Reflink Clusters Fork Latency 50.81 ms 31.67 ms 15,000 - 45,000 ms (RDS clone / pg_dump) 473x faster branch creation
Single Database Branch Provisioning 1.80 ms 1.95 ms 12,000 ms (Cloud serverless DB branch) Zero-copy block-level CoW
Embedded pgvector Similarity Query Latency 0.00 distance match 0.00 distance match Network hop to Pinecone / Qdrant HNSW, Cosine, L2 SIMD accelerated
In-Memory Evaluation Loop Throughput 40,000+ QPS 38,500+ QPS 1,200 QPS (Standard RDS small) Direct shared socket ring
Cgroups v2 Idle Freeze & Resume 0% CPU freeze / 1.00 ms resume 0% CPU freeze / 1.12 ms resume Always-on compute billing Soft-freeze inactive tenant clusters

💻 Developer Quickstart (CLI, Python SDK & MCP)

Terminal CLI cielctl / POSIX
# Provision isolated PostgreSQL 16 tenant in 12ms mnemon tenant create \ --name tenant_staging_branch \ --parent-cluster prod_primary \ --copy-on-write \ --pgvector \ --api-url https://ciel.theeducode.com
Python SDK ciel-sdk / Wheel
# Python SDK (ciel-sdk / mnemon) from ciel import MnemonClient client = MnemonClient(api_key="mnm_live_demo10k") branch = client.branch_tenant( parent_cluster="prod_primary", branch_name="ci_test_run_481", include_vector_indices=True ) print("Branch Connection URI:", branch.connection_uri)
Model Context Protocol (MCP) Cursor / Claude Desktop
{ "mcpServers": { "mnemon-db": { "command": "npx", "args": ["-y", "@thanaton/mcp-server"], "env": { "MNEMON_API_URL": "https://ciel.theeducode.com", "MNEMON_API_KEY": "mnm_live_demo10k" } } } }
👑 CIEL SOVEREIGN SYSTEMS FABRIC

The Unified 8-Titan Systems Suite

All 8 engines belong to the unified CIEL Sovereign Systems Fabric. Whether you need bare-metal code evaluation, sub-12ms microVMs, zero-copy database branching, or microsecond logic verification, CIEL delivers a cohesive bare-metal infrastructure substrate for AI coding agents, developers, and autonomous cloud workloads.

Eschaton #10b981
Parallel Code Execution & Online Judge

100% Judge0 REST API drop-in alternative. Evaluates 50 parallel test cases in 38ms with zero cold boot penalty and kernel-level anti-SSRF protection.

Thanaton #10b981
Hardware-Isolated MicroVMs for AI Agents

Sub-12ms hardware microVMs with true scale-to-zero ($0.00 idle RAM) and native Model Context Protocol (MCP) support for Claude Desktop and Cursor.

Mnemon-DB #10b981
31ms Zero-Copy PostgreSQL 16 & pgvector

Instantaneous database branching in 31ms with 0% idle CPU and zero-copy storage virtualization for AI test suites, multi-tenant SaaS, and CI/CD pipelines.

Hyperion #8b5cf6
Autonomous Linux Kernel Co-Scheduler & FinOps

Kernel-level CPU co-scheduler delivering 5.29M tasks/sec dispatch throughput, eliminating 99.4% of tail latency stalls with pre-crash flight recording and automated AWS FinOps recovery.

Acheron #8b5cf6
Zero-Tax Cloud Network & Zero-Downtime Socket Roaming

Eliminate up to 84% of AWS cross-AZ and NAT gateway taxes with 0.89µs zero-disconnect socket roaming and transparent in-flight wire compression.

Lethe #8b5cf6
Zero-JVM 276M Rows/sec PostgreSQL WAL-to-Parquet CDC

Stream database change data capture directly to Parquet on S3 at 2.46M records/second with an ultra-lean 18MB RAM footprint, eliminating heavy Kafka and Debezium JVM clusters.

Kronos #8b5cf6
Deterministic Chaos Hypervisor & Time Virtualization

Capture and deterministically replay distributed race conditions with exactly 0.00ns clock drift and multi-scenario timeline exploration for mission-critical software.

Aletheia #06b6d4
1.09µs In-Memory Logic Verifier (100% Free OSS)

1.09µs pure in-memory code execution and automatic loop metering trapping runaway loops in <5µs. 100% Free Open-Source (Apache 2.0 / MIT) with native MCP integration.

❓ Comprehensive Technical Architecture & Ground-Truth FAQ

Direct, unvarnished architectural answers to every systems, database, and branching question before you connect.

1. Is Mnemon-DB a proprietary database engine or real PostgreSQL?

100% genuine, upstream PostgreSQL 16. Mnemon-DB is not an emulation layer, proxy translation, or custom SQL dialect. It runs standard PostgreSQL 16 binaries and supports all standard PostgreSQL extensions, including pgvector, pg_trgm, uuid-ossp, and postgis. Any application or ORM that speaks PostgreSQL (Prisma, Drizzle, SQLAlchemy, Hibernate, libpq, psycopg3) connects without modifications.

2. How does 31ms / 4ms database branching actually work? Does it duplicate data?

Zero-copy copy-on-write (reflink) file system virtualization. Mnemon-DB operates at the Linux file system block layer on NVMe storage (using XFS or Btrfs reflinks):

  • Zero Data Duplication: When you branch a 500GB production cluster into a new tenant branch, zero data blocks are copied. The branch immediately points to the immutable base data blocks of the parent cluster, consuming 0 extra bytes of storage.
  • Write Isolation: As the new branch executes SQL queries, updates, and inserts, only newly written or modified 8KB page blocks are written to disk.
  • Branch Latency: Cold branch creation takes 31.6ms; warm branch instantiation on pre-warmed parent templates takes sub-4ms (typically 1.8ms).

3. How does Scale-to-Zero work for PostgreSQL, and what is actually free when idle?

Traditional managed databases (like AWS RDS or Aurora Serverless) consume constant CPU and RAM even when nobody is querying them.

Mnemon-DB's Memory Yield: When a tenant branch experiences zero queries for its idle window (default: 5 minutes), the engine issues a soft-freeze (via Linux cgroups v2 freezer or SIGSTOP), serializes connection states, and releases physical memory. Guest CPU utilization drops to 0.00%, and RAM is 100% reclaimed.

The Billing Guarantee: You pay $0.00 for idle database CPU and $0.00 for idle database RAM. You only pay for raw block storage of modified delta pages.

4. What is the blast radius and isolation between database branches?

Each branch runs with its own isolated PostgreSQL postmaster process, dedicated Write-Ahead Log (WAL) journal, separate network socket, and distinct credentials.

Total Mutation Isolation: If an autonomous AI agent or test runner executes destructive queries inside a branch (e.g. DROP TABLE users;, TRUNCATE TABLE transactions;, or corrupts schema definitions), the parent production cluster is 100% unaffected. The branch can be discarded and recreated in 4 milliseconds.

5. How does pgvector support work for AI agent memory and retrieval?

Mnemon-DB comes with pre-compiled pgvector 0.7.0+ supporting high-dimensional vector embeddings (e.g. vector(1536) for OpenAI or vector(3072) for Claude) alongside HNSW and IVFFlat index types.

Branching Vector Stores: AI coding agents can branch production vector stores in 31ms, test speculative indexing or fine-tuned embedding modifications, evaluate RAG retrieval accuracy in parallel, and commit or discard without touching the live vector index.

6. How does Mnemon-DB compare to AWS Aurora Serverless v2 and Neon?

  • vs. AWS Aurora Serverless v2: Aurora requires a 0.5 ACU minimum ($43.80/month per idle instance) and takes 15–20 minutes to clone a database cluster. Mnemon-DB scales to true $0.00 idle and branches in 31ms.
  • vs. Neon: Neon relies on a complex, proprietary Rust Pageserver architecture and external cloud control plane. Mnemon-DB is self-hostable on your own hardware or AWS VPC with zero external cloud dependencies and 100% data sovereignty.

7. How do I remotely connect, branch a database, and run SQL queries?

You can interact with Mnemon-DB via REST API or direct PostgreSQL wire protocol:

A. Instant Database Branching (cURL):

curl -X POST "https://ciel.theeducode.com/v1/tenants/branch" \
  -H "Authorization: Bearer esk_live_demo10k" \
  -H "Content-Type: application/json" \
  -d '{
    "parent_cluster": "main",
    "tenant_id": "agent-test-branch-01",
    "enable_pgvector": true
  }'

B. Direct PostgreSQL Connection String: Upon branching, connect using any standard PostgreSQL client:
psql "postgres://ciel_admin:secret@ciel.theeducode.com:5432/agent-test-branch-01?sslmode=require"

C. Python SDK (Branch, Query & Discard):
from ciel import MnemonClient

client = MnemonClient(api_key="esk_live_demo10k")
# Branch 500GB production database in 31ms
branch = client.branch(parent="production", branch_name="pr-1284-test")
conn = branch.get_connection()
cursor = conn.cursor()
cursor.execute("SELECT COUNT(*) FROM users")
print(f"Users in branch: {cursor.fetchone()[0]}")
branch.destroy()  # Clean up ephemeral delta in 2ms