TL;DR
DuckDB has announced the Quack protocol, allowing multiple DuckDB instances to communicate over a client-server architecture. This development enables concurrent multi-process access and broadens DuckDB’s applicability. The protocol is available in DuckDB v1.5.2 and is designed to be simple, fast, and built on proven technologies like HTTP.
DuckDB has officially launched the Quack protocol, enabling its instances to communicate in a client-server setup, a capability previously limited or achieved through workarounds. This development allows multiple concurrent writers and broadens DuckDB’s use cases beyond in-process interactions, impacting data science, telemetry collection, and application integration.
The Quack protocol, introduced in DuckDB version 1.5.2, allows two or more DuckDB instances to connect and exchange data over a network using a protocol built on established technologies such as HTTP. The protocol is simple to set up, requiring installation and loading of the Quack extension in each instance, and supports operations like remote table access, data copying, and query execution.
To use Quack, users install the extension, load it, and then establish a connection with a remote DuckDB instance via a specified address and token. Once connected, data can be queried, inserted, or transferred between instances, whether they are on the same machine or separated by vast distances. The protocol is designed to handle workloads ranging from small transactions to bulk data operations, emphasizing speed and ease of deployment.
Why It Matters
This development matters because it addresses long-standing limitations in DuckDB’s architecture, which was traditionally an in-process database optimized for embedded use cases. By enabling client-server communication, DuckDB can now support multi-process environments with concurrent write access, making it suitable for broader applications such as telemetry collection, multi-user data analysis, and integration into distributed systems. It also reduces the need for complex workarounds or switching to traditional client-server databases like PostgreSQL.
DuckDB client-server extension
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Background
DuckDB, first released in 2019, was designed as an in-process database optimized for data science and embedded use cases. While it excelled in scenarios involving single-process interactions, multi-process access required custom solutions or external protocols. Over time, users expressed a need for native client-server capabilities, prompting the DuckDB team to develop Quack. Prior to this, workarounds included using Arrow Flight SQL, custom RPC solutions, or embedding DuckDB within other databases like PostgreSQL with extensions.
The introduction of Quack represents a significant architectural shift, leveraging lessons from existing protocols and building from scratch without legacy constraints. It aligns with broader industry trends toward distributed data systems and multi-process architectures.
“The Quack protocol is designed to be simple, fast, and built on proven technologies, enabling DuckDB instances to communicate seamlessly in a client-server setup.”
— DuckDB team
“Our goal was to create a protocol that is easy to set up, supports workloads from small transactions to large bulk operations, and broadens DuckDB’s applicability.”
— DuckDB developers
Little Quack
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What Remains Unclear
It is not yet clear how widely adopted Quack will become, how it will perform under very large-scale workloads in production environments, or how it will integrate with existing distributed data systems. Further testing and community feedback are needed to evaluate its robustness and scalability.
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What’s Next
Next steps include broader testing by the DuckDB community, integration into various applications, and potential enhancements based on user feedback. The DuckDB team may also develop additional features or optimizations for Quack, and monitor its adoption in real-world scenarios to refine its capabilities.
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Key Questions
How does Quack differ from existing DuckDB communication methods?
Quack provides a native client-server protocol, allowing instances to communicate over a network, unlike previous workarounds or in-process setups. It is designed to be simple, fast, and built on proven technologies like HTTP, supporting multi-process concurrent access.
Can I use Quack with my existing DuckDB setup?
Yes, Quack is available in DuckDB version 1.5.2. You need to install and load the extension in your instances and configure connections between them. Detailed instructions are provided in the DuckDB documentation.
What workloads is Quack optimized for?
Quack is designed to support a range of workloads, from small transactions and queries to bulk data operations, emphasizing speed and ease of use in distributed environments.
Will Quack replace other remote access methods for DuckDB?
It is intended as an additional native option, complementing existing workarounds like Arrow Flight SQL or custom RPC solutions. Its adoption will depend on user needs and performance evaluations.
