Build data pipelines fluently

Consistent data pipelines for

Try something like:

Get me real-time FX Rates i can consume from my Excel sheet
Sync my Postgres orders table to DeltaTable every hour
Build an ETL pipeline that cleans and deduplicates customer records
Monitor all running pipelines and alert on failures

What is BytePipe?

Describe your data pipeline. We build and run it.

BytePipe turns plain-language descriptions into production-grade data pipelines. Connect any source to any destination — databases, APIs, file systems, cloud storage — without writing integration code. Just tell BytePipe what you need, and it handles the schema mapping, scheduling, error recovery, and monitoring.

Core capabilities

Everything you need to move data reliably.

Real-time & batch

Stream changes as they happen or schedule bulk syncs — same pipeline, your choice of timing.

Schema-aware transforms

Automatic type mapping, deduplication, and data quality checks built into every pipeline.

Observable by default

Live throughput metrics, delivery guarantees, alerting on failures — no extra setup required.

AI-powered

Talk to your data infrastructure.

Describe what you need in plain language. BytePipe's AI agent selects the right connectors, maps your schema, configures retry policies, and generates a pipeline you can inspect, edit, and deploy — in seconds, not sprints.

Enterprise grade

Built for teams that can't afford downtime.

End-to-end encryption, role-based access, audit logs, and SOC 2-ready controls. BytePipe runs on your infrastructure or ours — deploy to Azure, AWS, or on-prem Kubernetes with a single command.

Under the hood.

Connectors 50+ sources & destinations — SQL, NoSQL, REST, gRPC, Kafka, cloud storage

Throughput 100k+ events/sec per pipeline with back-pressure and exactly-once delivery

Orchestration KEDA-scaled workers — pipelines scale to zero when idle, burst on demand

Formats Parquet, Delta Lake, JSON, CSV, Avro — automatic serialisation and compression

Deployment Container-native — Aspire, Kubernetes, Azure Container Apps, or Docker Compose

Observability OpenTelemetry traces, Prometheus metrics, and built-in anomaly detection

Use cases

From startups to regulated enterprises.

Data & analytics teams

Replace fragile cron scripts and manual ETL with pipelines that self-heal and auto-scale.

AI & ML engineers

Feed training data, build RAG pipelines, and keep vector stores fresh — without plumbing work.

Platform engineers

Offer self-service data pipelines to your org with guardrails, quotas, and audit trails baked in.