IBM watsonx.data

Lakehouse that queries Iceberg, Delta Lake and Hudi tables in object storage through Presto, Spark or Gluten engines.

Provider: ibm
Kind: Data warehouse
Category: Data
Official docs: https://cloud.ibm.com/docs/watsonxdata

Properties · 2 set by this component

property	type	values	required	kind default	this component
engine · component property	enum	presto-java \| presto-cpp \| spark \| gluten	no	—	inherited
federation · component property	boolean	—	no	true	inherited
format	enum	columnar \| row	no	columnar	▸ columnar
managed	boolean	—	no	false	▸ true
realtime	boolean	—	no	false	inherited
tableFormat · component property	enum	iceberg \| delta-lake \| hudi	no	—	inherited
upsert	boolean	—	no	false	inherited

Rules that apply · 0

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No rule reads this kind yet. That is a gap, not a guarantee.

Use it in a design

nodes:
  - { id: "watsonx-data", component: "ibm-watsonx-data" }

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Source

1# yaml-language-server: $schema=../../schema/component.schema.json
2# IBM watsonx.data: a lakehouse that queries data where it lies. It offers Presto (Java), Presto
3# (C++), a native Spark engine and Apache Gluten; it reads Apache Iceberg, Delta Lake and Apache
4# Hudi tables; and the data sits in Cloud Object Storage, S3, ADLS, GCS, Ozone, HDFS or MinIO
5# ("IBM watsonx.data"). Storage is external, so the component records the engine and table format.
6schemaVersion: "1"
7type: "component"
8id: "ibm-watsonx-data"
9kind: "data-warehouse"
10provider: "ibm"
11docs: "https://cloud.ibm.com/docs/watsonxdata"
12defaults:
13  managed: true
14  format: "columnar"
15properties:
16  engine:
17    type: "enum"
18    values: ["presto-java", "presto-cpp", "spark", "gluten"]
19  tableFormat:
20    type: "enum"
21    values: ["iceberg", "delta-lake", "hudi"]
22  federation:
23    type: "boolean"
24    default: true

The same page as markdown, for an agent: /catalogue/components/ibm-watsonx-data.md