Home

Technology, Built to Push Boundaries

Every feature is an engineering triumph

In-Memory Engine: No Disk I/O, Pure Speed

Data is processed in RAM, zero context switch cost.

Zero-copy data processing with Apache Arrow columnar format. Disk I/O bottleneck is completely eliminated.

rust
tars::Config::new().memory_only(true)
RAM → CPU data flow animation
🔗

Associative Engine: No JOINs, Just Connections

Cell-level associative mapping instead of traditional JOINs.

O(1) relationship resolution — cross-table relationships are pre-indexed. All connected data is filtered instantly with a user click.

rust
db.associate("users", "orders", "user_id")
Dynamic associative connection diagram between two tables
🪶

Zero-Overhead: No Runtime Cost

No abstraction penalty — Rust's zero-cost abstractions philosophy.

No garbage collector, no runtime. C-level performance with compile-time optimizations and Rust safety.

1M row insert
TarsDB: 120ms
PostgreSQL: 2.4s
20x Hızlı
TarsDB vs Traditional DB CPU/RAM comparison chart
📊

Columnar Structure: 100x Speed for Analytical Queries

Column-based compression, vectorized query execution.

Column-based storage instead of row-based storage. Aggregation queries read only relevant columns — up to 100x speedup.

Row vs Column storage visual comparison
🔐

Security: ABAC + Cell-Level Authorization

Attribute-Based Access Control, cell-level authorization.

Policy-as-code approach: Security rules are embedded in the data model. Granular access control at row, column, and cell level.

rust
policy.allow_if(user.role == "admin" || row.owner == user.id)
User → Attribute → Access authorization matrix diagram
🧩

Integration: One Engine, Many Sources

PostgreSQL, CSV, JSON, REST API — all with the same query language.

Connector architecture unifies different data sources under a single query language. Adding a new source is as easy as writing a single module.

PostgreSQL MySQL MariaDB MS SQL Oracle SAP HANA MongoDB CSV Excel REST API Webhook Databricks Parquet
TarsDB at center, connector ecosystem map around it

Technical Comparison with Real Competitors

Qlik's associative power + Grafana's open source flexibility + Rust's performance = TarsDB Sense

Özellik TarsDB Sense Qlik Sense Power BI Tableau Grafana
In-Memory Associative ✅ Native ✅ Native ⚠️ VertiPaq
Self-Hosted ✅ Full ⚠️ Per-License ❌ SaaS ⚠️ Limited
Cost (50 users/yr) 💰 $1,499 💸 $75,000+ 💸 $12,000+ 💸 $42,000+ 💰 Free
ABAC + Cell Level ⚠️ Section Access ❌ RBAC ❌ RBAC
Rust-Native ✅ Zero-Copy ❌ C++ ❌ .NET ❌ Java/C++ ❌ Go
WASM Frontend ✅ 60 FPS ❌ JS/React ❌ JS ❌ JS ❌ JS
Embedded Mode
Open Source Core ✅ CE ✅ CE

Detailed benchmarks and methodology: /docs/benchmark