---
id: "big-data-cluster"
type: "kind"
category: "compute"
url: "https://localhost:3000/catalogue/kinds/big-data-cluster"
---

# Big data cluster

A multi-node analytics cluster running Spark, Hadoop, Presto or HPC jobs.

| | |
|---|---|
| Category | Compute |
| Properties | 7 |
| Components | 26 |
| Rules | 1 |

## Properties

| property | type | values | required | default |
|---|---|---|---|---|
| `autoscaling` | boolean | — | no | false |
| `engine` | enum | `spark`, `hadoop`, `presto`, `flink`, `hpc`, `ray`, `dask`, `kubernetes-batch` | no | — |
| `managed` | boolean | — | no | false |
| `runtimeVersion` | string | — | no | — |
| `spotInstances` | boolean | — | no | false |
| `workerNodes` | integer | — | no | — |
| `zoneRedundant` | boolean | — | no | — |

## Rules for this kind · 1

### Stateful node without zone redundancy `stateful-node-without-zone-redundancy` (error)

- Page: https://localhost:3000/catalogue/rules/stateful-node-without-zone-redundancy.md
- Why: A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.
- Applies to: every node in category compute
- Message: Stateful node '{{node.id}}' lives in exactly one availability zone. A zone outage takes its state with it.

It fires when:

- all of these hold:
  - the node's `stateless` is false
  - the node sits inside exactly 1 availability-zone group
  - this does not hold:
    - the node sits inside at least one cell group

## Components · 26

### vendor-neutral

- [Generic big data cluster](https://localhost:3000/catalogue/components/big-data-cluster.md) `big-data-cluster` — the kind itself

### alibabacloud

- [Elastic High Performance Computing](https://localhost:3000/catalogue/components/alibaba-e-hpc.md) `alibaba-e-hpc` — 2 defaults
- [E-MapReduce](https://localhost:3000/catalogue/components/alibaba-e-mapreduce.md) `alibaba-e-mapreduce` — 1 defaults

### aws

- [AWS Clean Rooms](https://localhost:3000/catalogue/components/aws-clean-rooms.md) `aws-clean-rooms` — 3 defaults
- [Amazon EMR](https://localhost:3000/catalogue/components/aws-emr.md) `aws-emr` — 4 defaults
- [Amazon EMR Serverless](https://localhost:3000/catalogue/components/aws-emr-serverless.md) `aws-emr-serverless` — 4 defaults
- [AWS Parallel Computing Service](https://localhost:3000/catalogue/components/aws-pcs.md) `aws-pcs` — 2 defaults
- [Amazon SageMaker HyperPod](https://localhost:3000/catalogue/components/aws-sagemaker-hyperpod.md) `aws-sagemaker-hyperpod` — 2 defaults

### azure

- [Azure CycleCloud](https://localhost:3000/catalogue/components/azure-cyclecloud.md) `azure-cyclecloud` — 3 defaults
- [Azure Databricks](https://localhost:3000/catalogue/components/azure-databricks.md) `azure-databricks` — 4 defaults
- [Azure HDInsight](https://localhost:3000/catalogue/components/azure-hdinsight.md) `azure-hdinsight` — 2 defaults

### default

- [Armada](https://localhost:3000/catalogue/components/armada.md) `armada` — 4 defaults
- [Dask](https://localhost:3000/catalogue/components/dask.md) `dask` — 4 defaults
- [Databricks](https://localhost:3000/catalogue/components/databricks.md) `databricks` — 4 defaults
- [Apache Hadoop YARN](https://localhost:3000/catalogue/components/hadoop-yarn.md) `hadoop-yarn` — 4 defaults
- [Ray](https://localhost:3000/catalogue/components/ray.md) `ray` — 4 defaults
- [Slurm](https://localhost:3000/catalogue/components/slurm.md) `slurm` — 4 defaults
- [Apache Spark cluster](https://localhost:3000/catalogue/components/spark-cluster.md) `spark-cluster` — 4 defaults
- [Volcano](https://localhost:3000/catalogue/components/volcano.md) `volcano` — 4 defaults

### gcp

- [Cluster Director](https://localhost:3000/catalogue/components/google-cluster-director.md) `google-cluster-director` — 4 defaults
- [Dataproc](https://localhost:3000/catalogue/components/google-dataproc.md) `google-dataproc` — 6 defaults
- [Managed Service for Apache Spark (serverless)](https://localhost:3000/catalogue/components/google-dataproc-serverless.md) `google-dataproc-serverless` — 4 defaults

### ibm

- [IBM Analytics Engine](https://localhost:3000/catalogue/components/ibm-analytics-engine.md) `ibm-analytics-engine` — 3 defaults

### oci

- [OCI AI Data Platform](https://localhost:3000/catalogue/components/oci-ai-data-platform.md) `oci-ai-data-platform` — 2 defaults
- [OCI Big Data Service](https://localhost:3000/catalogue/components/oci-big-data-service.md) `oci-big-data-service` — 2 defaults
- [OCI Data Flow](https://localhost:3000/catalogue/components/oci-data-flow.md) `oci-data-flow` — 2 defaults

## Source (`kind` YAML, verbatim)

```yaml
# yaml-language-server: $schema=../schema/kind.schema.json
# A sized cluster that accepts job submissions, where worker is a single job runner and data-warehouse is query-only storage. workerNodes and zoneRedundant have no default so sizing and resilience rules can catch an undeclared cluster.
schemaVersion: "1"
type: "kind"
id: "big-data-cluster"
category: "compute"
properties:
  engine:
    type: "enum"
    values: ["spark", "hadoop", "presto", "flink", "hpc", "ray", "dask", "kubernetes-batch"]
  workerNodes:
    type: "integer"
  runtimeVersion:
    type: "string"
  autoscaling:
    type: "boolean"
    default: false
  spotInstances:
    type: "boolean"
    default: false
  zoneRedundant:
    type: "boolean"
  managed:
    type: "boolean"
    default: false
```

Human page: https://localhost:3000/catalogue/kinds/big-data-cluster