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Key Features
Mutability support for updates and deletes with fast, pluggable indexingIncremental processing for 10x efficiency and faster data pipelinesACID transactional guarantees (atomic writes, snapshot isolation, non-blocking concurrency)Time travel for querying historical data and auditing changesInteroperable multi-cloud ecosystem support with open data formatsAutomatic table services (clustering, compaction, cleaning, file sizing, indexing)Built-in tools for auto ingestion from services like Debezium and KafkaQuery acceleration through multimodal indexes
Pricing
Free
Apache Hudi is completely free to use with no hidden costs.
Apache Hudi is an open-source data lakehouse platform designed to bring robust database functionalities, such as transactional guarantees and incremental processing, to large-scale data lakes. It leverages a high-performance open table format to enable minute-level analytics and replaces traditional slow batch processing with an incremental processing framework.
This platform is ideal for organizations dealing with high volumes of streaming data, CDC (Change Data Capture) from databases, and those looking to build resilient data pipelines with ACID properties. It caters to data engineers, architects, and analysts who need to manage and query historical data, ensure data quality, and optimize performance across multi-cloud environments. Hudi's extensive integrations with various data streaming tools, databases, file formats, lake storage, data catalogs, data warehouses, interactive analytics engines, and data processing frameworks make it a versatile solution for modern data architectures.
Key benefits include significantly faster ingestion and lower processing times, the ability to update and delete data efficiently with pluggable indexing, and automatic table services for continuous optimization. It also supports schema evolution and enforcement, ensuring pipeline resilience and preventing data corruption.
Apache Hudi is an open-source data lakehouse platform that extends data lakes with database functionalities like ACID transactions, updates, and deletes. It uses a high-performance open table format to enable incremental data processing for low-latency analytics.
How much does Apache Hudi cost?
Apache Hudi is an open-source project, meaning it is free to use.
Is Apache Hudi free?
Yes, Apache Hudi is completely free as it is an open-source project under the Apache Software Foundation.
Who is Apache Hudi for?
Apache Hudi is for data engineers, architects, and organizations that need to manage large-scale data lakes with transactional guarantees, enable incremental data processing for real-time analytics, and integrate with a wide range of data ecosystem tools across various cloud environments.