Self-hosted product analytics suite with event capture, funnels, session replay and feature flags, backed by ClickHouse, PostgreSQL, Kafka and Redis. Built and maintained by WIEWAVE for Azure Marketplace, AWS Marketplace and Google Cloud Marketplace, on Ubuntu and Debian.
| Built & maintained by | WIEWAVE |
|---|---|
| Category | Analytics & Big Data |
| Operating systems | Ubuntu, Debian |
| Marketplaces | Azure Marketplace, AWS Marketplace and Google Cloud Marketplace |
| Offer types | Public listing, with private offers on request |
| Marketplace | Status |
|---|---|
| Azure Marketplace | Published |
| AWS Marketplace | Published |
| Google Cloud Marketplace | Published |
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.
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.
Workflow orchestration platform for Python data pipelines providing scheduling, retries and observability, with a server UI and PostgreSQL metadata store.
Distributed SQL engine for interactive analytics that federates queries across Hive, S3, MySQL and other sources using coordinator and worker nodes.
The Python API for Apache Spark, preinstalled with a local Spark runtime for writing DataFrame and SQL jobs against distributed datasets.
Partner-packaged deployment of Prophecy, a low-code data engineering interface that generates Spark pipelines from a visual editor for ETL workloads.
Query and dashboard tool that connects to SQL and NoSQL sources, letting analysts share visualisations and scheduled reports from a browser.
Python module that connects notebooks and scripts to a SAS session, letting SAS procedures and datasets be driven directly from Python code.
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.
