DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. While DataOps began as a set of best practices, it has now matured to become a new and independent approach to data analytics. DataOps applies to the entire data lifecycle from data preparation to reporting, and recognizes the interconnected nature of the data analytics team and information technology operations.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging.
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
Kafka Docker for development. Kafka, Zookeeper, Schema Registry, Kafka-Connect, Landoop Tools, 20+ connectors
The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
Cloud Native DataOps & AIOps Platform | 云原生数智运维平台
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Efficient data transformation and modeling framework that is backwards compatible with dbt.
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
Open source security data pipelines.
📙 Awesome Data Catalogs and Observability Platforms.
A list of tools for annotating data, managing annotations, etc.
DataOps for the Modern Data Warehouse on Microsoft Azure. https://aka.ms/mdw-dataops.
Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
One framework to develop, deploy and operate data workflows with Python and SQL.
Open data platform based on Kubernetes. Scaleph supports SeaTunnel、Flink and Doris backended by SeaTunnel on Flink engine、Flink Kubernetes Operator and Doris operator.
Firehose is an extensible, no-code, and cloud-native service to load real-time streaming data from Kafka to data stores, data lakes, and analytical storage systems.