Reliable, batched data delivery

Ingest, buffer, retry, and deliver data to databases and APIs, including your customers' systems. Handle spikes, survive outages, and reduce costs.

WHAT IT DOES

Ingest per-record writes

via a simple API

Buffer and batch

by policy (size/time/custom)

Apply backpressure

to protect your database

Deliver batches

via push or pull, with retries and observability

WHO IT'S FOR

Teams writing lots of small records into Postgres/MySQL

Apps generating bursty events (activity, audits, logs, metrics)

Developers who want "just write it" simplicity without DB pain

WHY BATCHPIPE

1) Protects your database

High-frequency inserts kill connection pools and create write amplification. BatchPipe smooths bursts and reduces overhead.

2) Keeps code simple

Call one endpoint per record. No queues, workers, cron jobs, or DIY batchers required.

3) Predictable flushing

Flush on time, size, or both. Tune policies per stream without touching app code.

4) Reliable delivery

Retries, dead-letter handling, and visibility into what was accepted, buffered, flushed, or failed.

HOW IT WORKS

1

Your app sends records to BatchPipe

2

BatchPipe buffers and groups them

3

On threshold (time/size), BatchPipe flushes a batch to your DB

4

You query the data in your own database

EXAMPLE USE CASES

• Activity feeds and user events

• Audit trails and compliance logs

• Metrics/counters and stats updates

• Background job telemetry

• AI/agent traces and tool-calls

FEATURES

Per-stream batching policies

Backpressure and rate controls

Idempotency and de-duplication (optional)

Delivery retries + DLQ (optional)

Basic dashboards + exportable metrics

JavaScript SDK + REST (POST /v1/ingest/:pipe_id, GET /v1/pull/:pipe_id/:destination_id)

Hosted at https://eng.batchpipe.com/sdk/SDK docs and HTTP API.

SECURITY & OWNERSHIP

Your data lands in your database. You control retention, access, and queries. BatchPipe handles safe transport, batching, and delivery.

Ship fast without melting your database.

Get started in minutes.