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The main features of streamnative/pulsar are: Data Pipelines and Orchestration.
Projects with overlapping indexed features include: astronomer/dag-factory — Dag-factory is a framework for constructing and managing Apache Airflow data pipelines through declarative… jitsucom/jitsu — Jitsu is an open-source customer data platform designed to orchestrate event data pipelines. It captures, transforms,… databricks/koalas — Koalas: pandas API on Apache Spark. dagster-io/dagster — Dagster is a data orchestration platform designed to manage the entire lifecycle of data assets through declarative… confluentinc/ksql — The database purpose-built for stream processing applications. alluxio/alluxio — Alluxio is a virtual distributed file system and data orchestration layer that serves as a high-performance caching…
Jitsu is an open-source customer data platform designed to orchestrate event data pipelines. It captures, transforms, and routes behavioral data from web and server sources into data warehouses and analytics tools, providing a unified infrastructure for managing event streams. The platform distinguishes itself through its focus on self-hosted, containerized operations that grant users full control over their data security and privacy. It features a robust identity resolution engine that stitches disparate user identifiers into persistent profiles across sessions and devices, alongside program
Dag-factory is a framework for constructing and managing Apache Airflow data pipelines through declarative configuration files. By replacing manual procedural code with structured YAML definitions, it enables the programmatic generation of complex workflow structures, task dependencies, and execution schedules. The project distinguishes itself by mapping configuration keys directly to Python class constructors and operators, allowing for the dynamic instantiation of objects and custom logic. It supports hierarchical configuration inheritance to standardize settings across environments and pro
The database purpose-built for stream processing applications.
Alluxio is a virtual distributed file system and data orchestration layer that serves as a high-performance caching layer between cloud storage and compute clusters. It acts as a distributed data cache designed to accelerate data access for large-scale analytics and machine learning workloads. The system provides a unified interface that presents multiple heterogeneous storage backends as a single coherent namespace. This allows for the unification of diverse storage systems, enabling computation engines to access data from different providers without changing application code. The project c