Apache Hudi vs SAS Advanced Analytics
Apache Hudi
hudi.apache.org
SAS Advanced Analytics
sas.comSide by side
| Figure | Apache Hudi | SAS Advanced Analytics |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Ai Data Platforms | 8.1 (#4) | 7.1 (#9) |
| Founded | 2016 | 1976 |
| Integrations | The site lists integrations including Apache Spark, Apache Flink, Kafka, Debezium, Amazon S3, Google Cloud Storage, Azure Blob Storage, Trino, and dbt. | SAS Data and AI Studio connects to services and data sources including Amazon S3, Google BigQuery, Azure Data Lake Storage, Snowflake, Oracle, MongoDB and Apache Airflow. |
| Intended users | The site describes Hudi as a platform for building data lakes and lakehouses with streaming ingestion and incremental data processing. | Viya is presented for organizations, including regulated and risk-sensitive industries that need speed, scale and compliance. |
| Support | The site points users to community channels including Slack, GitHub, and the Hudi mailing list for community participation and technical help. | SAS lists online training, documentation, community forums and direct technical support as help options for Viya users. |
| What it does | Apache Hudi is an open data lakehouse platform that brings database functionality to data lakes and supports incremental processing for low-latency analytics. | SAS Viya is a cloud-native data and AI platform for connecting data, building and governing models, and operationalizing decisions. |
Plans
In their own words
Apache Hudi
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.
SAS Advanced Analytics
SAS Advanced Analytics has no write-up on Specifiction yet; its figures are above.