NiFi with TLS and a single-user authenticator configured, so the canvas isn't sitting open on first boot. Built and maintained by WIEWAVE for Azure Marketplace, on Ubuntu, Debian, Red Hat Enterprise Linux, AlmaLinux and Rocky Linux.
| Built & maintained by | WIEWAVE |
|---|---|
| Category | Analytics & Big Data |
| Operating systems | Ubuntu, Debian, Red Hat Enterprise Linux, AlmaLinux, Rocky Linux |
| Marketplaces | Azure Marketplace |
| Offer types | Public listing, with private offers on request |
| Marketplace | Status |
|---|---|
| Azure Marketplace | Published |
| AWS Marketplace | Available on request |
| Google Cloud Marketplace | Available on request |
Need it on another marketplace, or as a private offer for your organisation? cloud@wiewave.com
Each image follows its distribution's own provisioning model, package manager and security tooling — not one build relabelled several times.
LTS and interim releases, Minimal and Pro variants, built to Canonical's cloud-image conventions.
Stable and oldstable, with backports where a workload needs a newer runtime than the release ships.
RHEL 8 and 9 images, including BYOS and pay-as-you-go licensing models on each marketplace.
The 1:1 RHEL-compatible rebuild, and the default landing spot for teams migrating off CentOS Linux.
Enterprise-grade RHEL compatibility with a community governance model, on 8 and 9 streams.
The same four steps behind every offer we've published, including the hardening and CIS Benchmark checks every build goes through.
The distribution, licensing model and target marketplaces are agreed before anything is built.
Packer templates, Ansible provisioning and a pinned package set — then hardened, scanned and checked against the CIS Benchmark for its distribution.
Taken through each cloud's own certification pipeline before it goes live on the marketplace.
Rebuilt on the upstream security cadence and re-published, with old versions retired without breaking deployments.
If yours isn't here, ask our marketplace team directly.
Batch and streaming engines, orchestration, query federation and the BI layer that sits in front of them.
Spark with a matched JDK, executor memory sized to the instance and standalone or YARN submission both ready.
Superset with metadata in PostgreSQL, Celery workers for async queries and caching configured for dashboard load.
A web-based notebook for interactive data analytics and visualisation, with built-in support for Spark, SQL, and Scala.
Streaming SQL engine for Apache Kafka that runs continuous queries, joins and materialized views over topics without writing Java consumer code.
Analytics package for assembling a unified customer view on Google BigQuery; included data models and scripts depend on the publisher's build.
Parallel computing library that scales NumPy, pandas and scikit-learn workloads across cores or a cluster, with a scheduler and diagnostic dashboard.
Tell us the distribution, the marketplace and the commercial model — we'll build, certify and publish it as a public listing or a private offer.
