Zpiki2

Zpiki2 is a hypothetical open-source data processing framework designed for both streaming and batch workloads. It aims to be extensible, portable, and developer-friendly. The core runtime is implemented in Rust, with bindings for Python and JavaScript to allow user-defined functions in multiple languages. Zpiki2 follows the lineage of Zpiki1, introducing a modular operator graph and improved scheduling.

Architecture and features: The processing model is a directed acyclic graph of operators, including sources, transforms, windows, and sinks. It supports windowing, checkpointing, and strong backpressure handling. Connectivity includes common data stores and message queues, a SQL-like query layer, and an embedded ML path for model inference within pipelines. Deployment targets include on-premises clusters and cloud environments with Kubernetes support.

Development and licensing: Zpiki2 is released under the Apache 2.0 license and maintained by a community of volunteers. Development is conducted in public repositories with regular releases, comprehensive API documentation, and performance benchmarks. The project emphasizes interoperability and predictable behavior across environments.

Usage and reception: In academia and small to mid-sized organizations, Zpiki2 is used as a flexible backbone for experimentation and production pipelines. Strengths include modularity, cross-language support, and observability. Critiques point to a relatively young ecosystem, fewer third-party connectors, and a learning curve for complex pipelines.

See also: Zpiki1, streaming data processing, open-source data processing frameworks.