One Rust-native HTAP engine with scoped ACID paths and vector search, exposed through supported Cassandra and DynamoDB-compatible paths.
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
Supported CQL and DynamoDB-compatible surfaces. Teams start from existing drivers and validate the workload paths that matter first.
HTAP + scoped ACID paths + 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, with tested pgvector and Cassandra-compatible vector paths.
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 | Scoped selected workflows |
| Analytics | No | No | No | Built-in Zero-ETL |
| Vector | C* 5 basic | No | Core | Hybrid CQL+vector |
| Lock-in | Open CQL | Proprietary | Varies | Open supported CQL + DDB paths |
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 scored vector workloads across pgvector and Cassandra-compatible paths.
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 milestone — supported CQL surface, vector search, and Cassandra driver suites passing
Benchmarks published — 15 wins, 4 ties, 0 losses across 19 CQL workloads, plus 15/15 scored vector workloads across pgvector and Cassandra-compatible paths
DynamoDB-compatible and document surfaces, scoped ACID paths, flexible query, and OLAP hardening
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
Technical Director of an enterprise-grade database platform powering high-throughput systems at Fortune 500 scale, supporting 10M+ operations per minute. Specializes in distributed systems, large-scale architecture, and reliability engineering. Responsible for end-to-end technical excellence across mission-critical infrastructure..
Co-Founder
Platform Engineer building enterprise-grade infrastructure systems supporting 10M+ operations per minute. Owns CI/CD pipelines, distributed infrastructure, and production reliability. Maintains high-availability systems operating at Fortune 500 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