StreamHouse

Paid APISelf-hostedWeb

What StreamHouse is

StreamHouse is an open-source system for collecting, processing, and monitoring event streams. It accepts events through REST, gRPC, or the Kafka protocol, then lets developers query streams with built-in SQL and transform events in pipelines. A pipeline can continuously apply SQL transforms and send results to PostgreSQL, with management through the CLI or an SDK. The system stores data in S3, which it describes as S3-native.

Its schema registry supports JSON Schema, Avro, and Protobuf, including compatibility checks. PostgreSQL, S3, and Elasticsearch are listed as pipeline destinations. For monitoring, StreamHouse includes Prometheus metrics, Grafana dashboards, and real-time WebSocket metrics. Access controls include organization-level isolation and API keys scoped by permissions and topics.

StreamHouse is self-hostable, and its agents are described as stateless so they can scale like web servers. Developers can use the documented Python and TypeScript SDKs, or install the CLI through Homebrew or a shell installer. The project uses the Apache License 2.0. It is presented for developers who want to stream events into Postgres without Kafka or Flink.

Who it suits

StreamHouse suits developers building event pipelines that need SQL transformations, schema checks, and PostgreSQL output. It is also a fit for teams that want to self-host and use Python or TypeScript SDKs.

What it does well

Accepts events through REST, gRPC, or Kafka protocol.
SQL can query streams and transform events in pipelines.
Schema registry supports JSON Schema, Avro, and Protobuf.
Lists PostgreSQL, S3, and Elasticsearch as pipeline sinks.
Includes Prometheus metrics, Grafana dashboards, and WebSocket metrics.
Apache License 2.0 and self-hostable deployment.

What to know first

Storage is S3-native.
Documented SDKs are for Python and TypeScript.
The project is presented for developer-focused event streaming.

Getting started

Visit https://streamhouse.app/.
Install the CLI using the Homebrew command or shell installer on the homepage.
Use REST, gRPC, or the Kafka protocol to produce events.
Manage pipelines through the CLI or a Python or TypeScript SDK.
Configure SQL transforms and a listed sink such as PostgreSQL.

Verdict

Choose StreamHouse if you want a self-hostable event streaming system with SQL pipelines that can continuously feed Postgres. Its schema management and monitoring are built into the same system. It is aimed at developers, with documented SDKs for Python and TypeScript.

Questions

Is StreamHouse free?

It is listed as free and open source under the Apache License 2.0.

Can I host StreamHouse myself?

Yes. StreamHouse describes itself as self-hostable.

Which platforms does it support?

Its listed platforms are API, self-hosted, and web.

Which event protocols can I use?

It accepts events through REST, gRPC, or the Kafka protocol.

What languages have SDKs?

The repository documents Python and TypeScript SDKs.

Which pipeline sinks are listed?

PostgreSQL, S3, and Elasticsearch are listed as supported sinks.

Facts from StreamHouse's own pages

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

Where StreamHouse stands on Freedom251

Event Streaming Platforms#20 of 27