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StreamHouse

streamhouse.app

WebAPISelf-hosted
Visit streamhouse.app
Spec score 6.7 #19 of 27 in Event Streaming Platforms

What it is

StreamHouse is an open-source, self-hostable system combining event streaming, processing, schema management, and observability. Developers can ingest events through REST, gRPC, or the Kafka protocol, then use its SQL engine to query streams and transform events in pipelines. Pipelines can continuously send SQL-transformed results to PostgreSQL and be managed through the CLI or an SDK. StreamHouse stores data in S3 and describes that storage as S3-native. Its schema registry supports JSON Schema, Avro, and Protobuf with compatibility checking. Listed sinks include PostgreSQL, S3, and Elasticsearch. Monitoring includes Prometheus metrics, Grafana dashboards, and real-time WebSocket metrics. Organization-scoped isolation and permissioned API keys provide access controls. Python and TypeScript SDKs are documented, while CLI installation is available through Homebrew or a shell installer. The project uses Apache License 2.0, and its stateless agents can scale like web servers.

Spec sheet

Purpose
StreamHouse describes itself as an open-source event streaming platform for streaming events to Postgres.Read 11 Oct 2026 · streamhouse.app
Deployment
The site says StreamHouse is open source and self-hostable.Read 11 Oct 2026 · streamhouse.app
License
The comparison table lists StreamHouse as MIT licensed.Read 11 Oct 2026 · streamhouse.app
Access controls
The repository describes organization-scoped isolation and API keys with permissions and topic scopes.Read 10 Oct 2026 · github.com
CLI
The site shows installing the CLI with Homebrew or with the command curl https://get.streamhouse.dev | sh.Read 11 Oct 2026 · streamhouse.app
Company details
The opened official page did not state a maker name, headquarters, or founding year.Read 11 Oct 2026 · streamhouse.app
Ingestion
Events can be produced through REST, gRPC, or the Kafka protocol.Read 10 Oct 2026 · streamhouse.app
Interfaces
It accepts events through REST, gRPC, or the Kafka protocol.Read 11 Oct 2026 · streamhouse.app
Observability
The repository lists Prometheus metrics, Grafana dashboards, and real-time WebSocket metrics.Read 10 Oct 2026 · github.com
Postgres pipeline
A pipeline can apply SQL transforms and continuously sink events to Postgres, managed via CLI or SDK.Read 11 Oct 2026 · streamhouse.app
Scale
The site says StreamHouse agents are stateless and can be scaled like web servers.Read 11 Oct 2026 · streamhouse.app
Schema registry
The site says StreamHouse combines streaming, processing, schema management, and observability in one binary.Read 11 Oct 2026 · streamhouse.app
SDKs
The repository documents Python and TypeScript SDKs.Read 10 Oct 2026 · github.com
Sinks
The repository lists PostgreSQL, S3, and Elasticsearch as supported pipeline sinks.Read 10 Oct 2026 · github.com
SQL
The built-in SQL engine can query streams and transform events in pipelines.Read 10 Oct 2026 · github.com
SQL processing
It supports SQL transforms in pipelines that continuously sink events to Postgres.Read 11 Oct 2026 · streamhouse.app
Storage
The comparison section describes StreamHouse as using S3-native storage and lists a storage cost of $0.023/GB.Read 11 Oct 2026 · streamhouse.app
Target users
The site presents StreamHouse as a developer focused system for streaming events into Postgres without Kafka or Flink.Read 11 Oct 2026 · streamhouse.app

Strong points and limits

Strong points

  • Open source under Apache License 2.0
  • Accepts REST, gRPC, and Kafka events
  • Built-in SQL transforms for pipelines
  • Schema registry supports three formats
  • Self-hostable with stateless agents

Limits

  • Requires self-hosted deployment
  • Documentation lists only Python and TypeScript SDKs
  • Storage is centered on S3

Who it suits

It is aimed at developers who want to stream events into Postgres without Kafka or Flink. Self-hosting, API access, SQL pipelines, and documented Python and TypeScript SDKs suit engineering teams managing their own deployment.

Verdict

StreamHouse combines ingestion, SQL processing, schemas, sinks, and monitoring in one self-hostable project. Its documented interfaces are suited to developers building event pipelines toward PostgreSQL and other listed destinations.

Where Specifiction places it

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