Turbolytics
sqlflow is DuckDB for streaming data. Pipelines are SQL. They run on a single node without a JVM: up to 1,057,360 messages a second in 303 MiB. No cluster, no coordinator. MIT licensed.
Overview
sqlflow is presented as a streaming data processing tool built on DuckDB, allowing users to define data pipelines using SQL. It emphasizes operational simplicity, high throughput, and minimal dependencies, making it suitable for single-node environments.
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- Taglinesqlflow is DuckDB for streaming data. Pipelines are SQL. They run on a single node without a JVM: up to 1,057,360 messages a second in 303 MiB. No cluster, no coordinator. MIT l...
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- Descriptionsqlflow is DuckDB for streaming data. Pipelines are SQL. They run on a single node without a JVM: up to 1,057,360 messages a second in 303 MiB. No cluster, no coordinator. MIT l...
- Source not recordedDate not recordedSource link unavailable
- Free planNot stated
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- Free trialNot stated
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- IntegrationsGitHub
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- Summarysqlflow is presented as a streaming data processing tool built on DuckDB, allowing users to define data pipelines using SQL. It emphasizes operational simplicity, high throughpu...
- AI-inferredRecorded Source link unavailable
Who Is It For
Organizations looking for a lightweight, SQL-based solution for streaming data processing without the overhead of distributed systems.
Teams needing a distributed processing engine or those requiring complex ETL capabilities beyond SQL-based transformations.
Strengths & Weaknesses
High performance with the ability to process up to 1,057,360 messages per second on a single node, leveraging the simplicity of SQL for pipeline definitions.
Limited support for distributed workloads and complex ETL processes, as it is designed for single-node operations only. (AI-inferred; may be outdated. Founders can correct this)
Classification
Alternatives to Turbolytics
Community
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