Apache Hudi vs Graviti

Apache Hudi is a free, open-source data lakehouse platform that adds database capabilities to data lakes and supports incremental processing for low-latency analytics. It can update and delete records, with pluggable indexing for change-data-capture and streaming workloads. Transaction features include atomic writes, snapshot isolation, and non-blocking concurrency controls. Users can query historical table versions, roll back changes, and review commit history. Automated table services handle clustering, compaction, cleaning, file sizing, and indexing, while schema evolution and enforcement accommodate changing data. Listed integrations include Apache Spark, Apache Flink, Kafka, Debezium, Amazon S3, Google Cloud Storage, Azure Blob Storage, Trino, and dbt. Some integrations are read-only, so Spark or Flink may write Hudi tables for those systems to query. Downloads include source releases and Maven bundles, with PGP verification advised. Hudi relies on the security posture of its compute and storage environment.

Graviti is a data platform for organizing unstructured data used in analytics and AI. It brings raw files, metadata, and semantic data into one place, with customizable filters for querying the latter two. Datasets can be managed through commits and branches, using incremental versioning that avoids duplicating data. Supported material includes images, video, lidar formats such as .pnts, .pcd, .bin, .las, and .ply, as well as time-series and fusion datasets. Annotation options include Classification, Box, Polygon, Polyline, and Cuboid. Users can inspect data and annotation distributions online through lists, histograms, and pie charts without downloading datasets or writing code. Developers can work through a Python SDK, OpenAPI, or command-line interface. Processing workflows can run on commits or manually, and their jobs can use any programming language with Graviti APIs. The platform also offers role-based dataset access, GroundTruth Tools, and marketplace integrations. It is available through web and API. The Starter plan is free; paid plans start at $200/mo, and a 14-day trial is available.