enterprise
intermediate
Rust Data Engineering Pipeline
Solution Components
rust
data-engineering
kafka
tokio
polars
Architecture Visual
%% Autogenerated infra-rust-data
graph TD
classDef standard fill:#1e293b,stroke:#38bdf8,stroke-width:1px,color:#e5e7eb;
classDef c-actor fill:#1e293b,stroke:#e5e7eb,stroke-width:1px,stroke-dasharray: 5 5,color:#e5e7eb;
classDef c-compute fill:#422006,stroke:#fb923c,stroke-width:1px,color:#fed7aa;
classDef c-database fill:#064e3b,stroke:#34d399,stroke-width:1px,color:#d1fae5;
classDef c-network fill:#2e1065,stroke:#a855f7,stroke-width:1px,color:#f3e8ff;
classDef c-storage fill:#450a0a,stroke:#f87171,stroke-width:1px,color:#fee2e2;
classDef c-security fill:#450a0a,stroke:#f87171,stroke-width:1px,color:#fee2e2;
classDef c-gateway fill:#2e1065,stroke:#a855f7,stroke-width:1px,color:#f3e8ff;
classDef c-container fill:#422006,stroke:#facc15,stroke-width:1px,color:#fef9c3;
subgraph stream-layer ["Streaming Layer"]
direction TB
kafka("<b>Kafka / Redpanda</b><br/><i>message-broker</i><br/><span style='font-size:0.8em'>Event Log</span>")
class kafka standard
ingester("<img src="/icons/inframap/compute.png" width="32" height="32" /><br/><b>Rust Consumer (Tokio)</b><br/><i>service</i><br/><span style='font-size:0.8em'>Async I/O</span>")
class ingester c-compute
end
subgraph compute-layer ["Compute Layer"]
direction TB
processor("<img src="/icons/inframap/compute.png" width="32" height="32" /><br/><b>Data Processor (Polars)</b><br/><i>function</i><br/><span style='font-size:0.8em'>ETL / Aggregation</span>")
class processor standard
api("<img src="/icons/inframap/compute.png" width="32" height="32" /><br/><b>Query API (Axum)</b><br/><i>service</i><br/><span style='font-size:0.8em'>Serves Aggregates</span>")
class api c-compute
end
%% Orphans
devices("<b>IoT / Clickstream</b><br/><i>external</i>")
class devices standard
s3[("<img src="/icons/inframap/storage.png" width="32" height="32" /><br/><b>Data Lake (S3)</b><br/><i>storage</i><br/><span style='font-size:0.8em'>Parquet/Delta</span>")]
class s3 c-storage
%% Edges
kafka -.-> devices
ingester -.-> kafka
processor -.-> ingester
s3 -.-> processor
api -.-> s3
Rust Data Engineering Pipeline
When data correctness and latency are paramount, Rust replaces Python/Java. This architecture ingests events from Kafka, processes them with Polars/Tokio, and writes to Delta Lake.
Core Components:
- Ingester (Rust): Tokio-based async service consuming high-velocity Kafka topics.
- Processor (Rust + Polars): In-memory columnar data frame processing for real-time aggregations.
- Kafka / Redpanda: Durable event log.
- Object Store (S3): Long-term storage in open formats (Parquet/Delta).
Tech Stack
| Component | Technology |
|---|---|
| Segment | enterprise |
| Language | rust |
| Concurrency | tokio |
| Data Frame | polars |
| Stream | kafka |
Cloud Cost Estimator
Dynamic Pricing Calculator
$0 / month
MVP (1x) Startup (5x) Growth (20x) Scale (100x)
MVP Level
Compute Resources
$ 15
Database Storage
$ 25
Load Balancer
$ 10
CDN / Bandwidth
$ 5
* Estimates vary by provider & region