One Rust-native HTAP engine with ACID transactions and vector search — drop-in compatible with Cassandra & DynamoDB.
Confidential — April 2026
Problem & Market Opportunity
DynamoDB charges per-request. Cassandra requires over-provisioned stateful nodes. Both punish growth.
Separate systems for transactions, analytics, vector, and workflows — each with its own ops burden and ETL pipeline.
RAG and agentic workflows make 10–100× more DB calls than human apps. Legacy throughput ceilings become the AI ceiling.
Start with Cassandra and DynamoDB workloads where migration pain is already urgent and budgets already exist.
AI-native and HTAP workloads push teams to consolidate operational, analytical, and vector data into one platform.
Sources: Cassandra Community Survey 2025; DB-Engines; a16z.
Our Solution
Full CQL & DynamoDB API compatibility. Existing drivers and queries work day one — zero rewrite.
HTAP + ACID transactions + vector search in one engine. Zero ETL, zero data copies.
Purpose-built in Rust. Predictable low-latency at every percentile — no GC pauses, no JVM tuning.
Elastic cloud architecture scales in seconds — no data rebalancing, no streaming delays.
Hybrid ANN + CQL filters in one query. Real-time freshness, no separate vector DB, no dual-write.
Stateless compute + automatic tiering + serverless model. Pay for use, not peak capacity.
Stack Consolidation
Compatibility lands the workload first. Vector, analytics, and transactions expand the account later.
One cloud database with compatibility at the edge and differentiated capabilities built in.
| Dimension | Cassandra / ScyllaDB | DynamoDB | Vector DB | MTS DB |
|---|---|---|---|---|
| Scale-Out | Hours | Fast opaque | Varies | Seconds |
| ACID Txns | No | Limited | No | Full cross-partition |
| Analytics | No | No | No | Built-in Zero-ETL |
| Vector | C* 5 basic | No | Core | Hybrid CQL+vector |
| Lock-in | Open CQL | Proprietary | Varies | Open CQL+DDB |
Performance Proof
| Benchmark | C* | MTS |
|---|---|---|
| Point read p50 | 0.21 ms | 0.08 ms |
| Single write p50 | 0.18 ms | 0.10 ms |
| LWT p50 | 2.16 ms | 0.74 ms |
| Mixed ops/s | 4,034 | 7,824 |
| Token scan rows/s | 170,950 | 357,650 |
| Benchmark | Scylla | MTS |
|---|---|---|
| Point read p50 | 0.09 ms | 0.08 ms |
| LWT p50 | 21.49 ms | 0.74 ms |
| Concurrent read/s | 5,303 | 10,781 |
| Async write/s | 43,240 | 55,365 |
| Large partition rows/s | 5,275 | 9,694 |
| Benchmark | Baseline | MTS |
|---|---|---|
| Top-1 qps (pgv) | 4,980 | 7,038 |
| Top-1 p50 (pgv) | 0.27 ms | 0.19 ms |
| Top-1 p95 (C*) | 6.03 ms | 0.53 ms |
| Bootstrap (C*) | 62 r/s | 588 r/s |
| Bootstrap (pgv) | 233 r/s | 774 r/s |
CQL: latest sanitized 19-benchmark closeout across 3-node clusters, Apr 2026, with 15 wins, 4 ties, and 0 losses under the agreed tie rule. Vector: 15/15 wins vs pgvector (1-node) and Cassandra (3-node).
Go-to-Market & Traction
Usage-based: storage GB + compute + throughput. Free tier removes friction; reserved capacity for enterprise. Target 80%+ gross margin.
Annual subscription for on-prem / VPC. SLA guarantees + premium support. Unlocks regulated verticals.
Teams land with CQL migration → activate analytics, vector, ACID → 3–5× wallet expansion per account. Revenue compounds with customer data growth.
Core engine complete — full CQL + Cassandra compatibility, vector search, driver suites passing
Benchmarks published — 15 wins, 4 ties, 0 losses across 19 CQL workloads, plus 15/15 vector wins vs Cassandra, ScyllaDB, pgvector
DynamoDB compatibility, ACID transactions, analytics OLAP
Design partner pilots — onboarding first customers for managed cloud beta
GA launch on public cloud — multi-tenant, self-serve, SOC 2
The Team
Co-Founder
Serial entrepreneur with five successful businesses. Deep operational experience where speed and reliability are mission-critical.
Co-Founder
Main author of enterprise database solution supporting 10M+ operations per minute. Systems architecture and distributed coordination. Drives technical quality across the platform.
Co-Founder
Main author of enterprise platform solution supporting 10M+ operations per minute. Infrastructure, CI/CD, and production reliability. Keeps the engine running at scale.
Deep Domain Expertise
Distributed systems, storage engines, Rust
Builder DNA
Proven track record shipping & scaling
Operator Empathy
Built from real production pain
The Ask
Capital to take MTS DB from pilot to GA and establish the data platform for AI-native applications.
Let's build the database for the AI era — together.
MTS Labs, Inc. • Confidential • April 2026