basalt

SourceNativeGA

Kinesis shards, read in order.

Connect a stream with an IAM role. Basalt reads each shard with enhanced fan-out and checkpoints by sequence number.

Setup
3 min
Delivery
Exactly-once
Throughput
1M ev/s
Since
v1.1
Overview

How it works.

Basalt registers a stream consumer and subscribes to each shard with SubscribeToShard. Records are written in sequence order, and the checkpoint advances only after the write is durable. Shard splits and merges are followed automatically.

KAFKA TOPICSBASALTVIEWSSERVEpayments.v3orders.v1refunds.v2ORDERED LOGpayments_liverevenue_by_minAPI3.1 MS
Setup

Set it up in three steps.

01

Add the source

Create an IAM role Basalt can assume with an external ID. Pass the stream ARN and Basalt registers its own fan-out consumer.

terminal
# read the events stream with enhanced fan-out
basalt source add events --kinesis arn:aws:kinesis:us-east-1:4021:stream/events --role basalt-reader
✓ consumer basalt-events registered · EFO
✓ 16 shards streaming · iterator age 120 ms
02

Shape it with a view

Write plain SQL over the source. Basalt keeps the view current with every record and tracks lineage back to the topic, partition and offset.

views/revenue_by_min.sql
CREATE MATERIALIZED VIEW revenue_by_min AS
SELECT date_trunc('minute', ts) AS minute,
       currency,
       sum(amount) AS revenue,
       count(*)    AS payments
FROM payments
WHERE status = 'captured'
GROUP BY 1, 2;
03

Read it from anywhere

Every view is an endpoint the moment it exists. Call it over REST, connect with any Postgres client, or use the SDK from your app.

terminal
curl https://api.basalt.dev/v1/views/revenue_by_min?limit=5 \
  -H "Authorization: Bearer $BASALT_TOKEN"
✓ 200 OK · 5 rows · served from eu-north-1 in 3.1 ms
Included

What you get.

01

Enhanced fan-out

A dedicated 2 MB/s per shard pipe, so Basalt never competes with your other readers.

02

Sequence checkpoints

Sequence numbers are stored with the write. A restart resumes at the exact record.

03

Reshard handling

Splits and merges are followed in parent-child order without losing ordering.

04

KPL aggregation

Aggregated records from the Kinesis Producer Library are unpacked automatically.

Related

Other ways to stream in.

All integrations →
Beta

Anthropic

AI & ML

Give Claude live, row-level context through a typed tool.

Beta

OpenAI

AI & ML

Embed events as they land and store vectors beside the rows.

Partner

Hex

BI & notebooks

Query views from SQL cells and keep notebooks current.

Get started

Set your data in stone.

Free up to 10M events a month. No card, no sales call. Your first pipeline is live in about four minutes.

2,400+ teams in production

SOC 2 Type II

38 regions

Get started

Set your data in stone.

Free up to 10M events a month. No card, no sales call. Your first pipeline is live in about four minutes.

2,400+ teams in production

SOC 2 Type II

38 regions

Get started

Set your data in stone.

Free up to 10M events a month. No card, no sales call. Your first pipeline is live in about four minutes.

2,400+ teams in production

SOC 2 Type II

38 regions

© 2026 Basalt Labs

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© 2026 Basalt Labs

All systems normal

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© 2026 Basalt Labs

All systems normal

Back to top ↑

404

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