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This image is an all-in-one container that integrates both a front-end Admin/Management Console user interface and the back-end Graph Lakehouse™ database engine in a single container image. If you are new to Kubernetes (k8s) and Helm, this Docker image provides an easier starting point, as it supports the simplest Docker-only deployment.
Production-like setups require the use of the anzograph-db container and optionally the anzograph-frontend container deployed by either the anzograph-operator or the anzograph helm chart.
Please use the anzograph-db and optionally the anzograph-frontend container image for production scenarios.
| 3.1.6 | 3.1.6-r{{ build }} |
| 3.1.5 | 3.1.5-r{{ build }} |
| 3.1.4 | 3.1.4-r{{ build }} |
| 3.1.3 | 3.1.3-r{{ build }} |
| 3.1.2 | 3.1.2-r{{ build }} |
| 3.1.1 | 3.1.1-r{{ build }} |
| 3.1.0 | 3.1.0-r{{ build }} |
| 2.5.22 | 2.5.22-r{{ build }} |
| 2.5.21 | 2.5.21-r{{ build }} |
| 2.5.20 | 2.5.20-r{{ build }} |
| 2.5.19 | 2.5.19-r{{ build }} |
Altair® Graph Lakehouse™ is the only MPP (massively parallel processing) native graph OLAP (GOLAP) database designed to accelerate data integration and scalable analytics with graph at performance levels that compare favorably with the industry-leading data warehouse analytics products. Graph Lakehouse offers a variety of advanced analytics capabilities, including over 40 functions for regular data warehousing-style line-of-business analytics like Aggregate grouping, Views, Windowed Aggregates, as well as graph algorithms, and inferencing at super-fast speeds. An SDK enables developers to add their own custom parallel bi-directional connectors, functions and aggregates that can perform in parallel across enterprise-scale knowledge-graphs. The product has been market tested and has been in production for several years at leading global corporations.
Your use of this Docker image is conditional on your acceptance of the terms and conditions contained in the Altair Data Analytics Software License Agreement. The Graph Lakehouse web-based Admin/Management Console supports requesting and updating of runtime licenses.
Altair Units Licensing is a value-based license management system enabling metered usage of Graph Lakehouse and all other Altair products. Graph Lakehouse belongs to the Altair Data Analytics suite of applications, all of which have the capability to use a single pool of recyclable Altair Units. The license units consumption of Graph Lakehouse depends on the CPU resources (the number of CPU cores on the host system). As of this version, Graph Lakehouse consumes 6 units per core. Please visit the Altair Customer Support portal or email the Data Analytics Support team at dasupport@altair.com to request a license.
Graph Lakehouse activation with a Cambridge Semantics license key is a legacy method supported in parallel with the new Altair Units Licensing to ease the transition to the new licensing system for existing customers. The information required to generate a license key (Server ID, CPU Cores, Max RAM, and Max Nodes) is available in the web-based Admin/Management Console of Graph Lakehouse. Please provide this information to Altair Customer Support when requesting a license key for your system.
Graph Lakehouse is a high performance computing (HPC) Massively Parallel Processing (MPP) Graph OLAP engine. High performance interconnect bandwidth between cluster nodes is required. The minimum bandwidth supported is 10 GB/s, although higher bandwidth can significantly improve database performance. The web-based Admin/Management Console includes an inter-node bandwidth test, to verify that your cluster infrastructure provides sufficient bandwidth to be viable. Further sizing information is available here.
Please submit defect reports to Altair Support via the Customer Support portal or by emailing the Data Analytics Support team at dasupport@altair.com.
The instructions below assume helm version 3+.
helm repo add csi-helm https://storage.googleapis.com/csi-helm/
helm repo update
helm search repo anzograph
helm inspect readme csi-helm/anzograph | tee Readme.md
helm inspect values csi-helm/anzograph | tee values.yaml
helm install -f ./values.yaml {{ release-name }} csi-helm/anzograph
Using this software means you agree with and accept the terms of the Altair Data Analytics Software License Agreement
Altair Engineering Inc. offers comprehensive, open-architecture simulation, artificial intelligence (AI), high-performance computing (HPC), and data analytics solutions that empower organizations to build better, more efficient, more sustainable products and processes. The company's Graph Studio™ (formerly Anzo®) platform for building enterprise data fabrics offers a universal semantic layer to connect and bring meaning to all enterprise data. It combines a semantic layer with an embedded graph database to link, analyze and manage diverse data — internal or external, structured or unstructured — at exceptional speed and big data scales. Graph Lakehouse, the same graph database embedded within Graph Studio, is now available on a standalone basis for data analysts, enterprise architects, and application developers to build and execute data warehouse analytics, graph & data science algorithms, and inferencing, all in one award-winning graph database for analytics.
The following information was extracted from the dockerfile and other sources.
| Canonical image ID | Graph Lakehouse™ - allinone image |
| Summary | Graph Lakehouse® allinone image based on ubi9 |
| Description | The Universal Base Image Minimal is a stripped down image that uses microdnf as a package manager. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly. |
| Provider | Cambridge Semantics |
| Maintainer | https://altair.com/customer-support |
| Repository name | Graph Lakehouse® allinone image based on ubi9 |
| Image version | r202602110313 |
| Architecture | amd64 |
The following evidence verifies the image's security and build process compliance with mandated internal standards.
| Security audit date | 2/12/2026, 9:13:19 AM |
| Container certification |
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