From 67c20df441245ca8b7b75586f2941192ade256a6 Mon Sep 17 00:00:00 2001 From: Paula Date: Mon, 27 Oct 2025 12:59:55 +0100 Subject: [PATCH 1/7] data platform for amp is available upon request --- site/content/data-platform/get-started.md | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/site/content/data-platform/get-started.md b/site/content/data-platform/get-started.md index f59466e2db..33c4c4b619 100644 --- a/site/content/data-platform/get-started.md +++ b/site/content/data-platform/get-started.md @@ -21,10 +21,9 @@ of the platform features. ## Use the Arango Data Platform as a managed service -The Arango Data Platform is not available as a managed service yet, but it will -become available for the [Arango Managed Platform (AMP)](../../amp/_index.md) -in the future. Until then, you can request early access to the self-hosted -Arango Data Platform for testing. +The Arango Data Platform can be made available as a managed service for the +[Arango Managed Platform (AMP)](../../amp/_index.md) upon request. +[Get in touch](https://arango.ai/contact-us/) with the Arango team to learn more. ## Self-host the Arango Data Platform From e7b597617b2d4be1f04c0db21f4fe5b210428e10 Mon Sep 17 00:00:00 2001 From: Paula Date: Mon, 27 Oct 2025 13:36:04 +0100 Subject: [PATCH 2/7] Add new Kubernetes page; Add detailed descriptions of Data Platform's architecture and components --- site/content/data-platform/_index.md | 49 ++++++++++- site/content/data-platform/features.md | 105 ++++++++++++++--------- site/content/data-platform/kubernetes.md | 82 ++++++++++++++++++ 3 files changed, 194 insertions(+), 42 deletions(-) create mode 100644 site/content/data-platform/kubernetes.md diff --git a/site/content/data-platform/_index.md b/site/content/data-platform/_index.md index 5b68886243..218cb13c35 100644 --- a/site/content/data-platform/_index.md +++ b/site/content/data-platform/_index.md @@ -21,6 +21,51 @@ AI solutions for GraphRAG, graph machine learning, data explorations, and more. run it on-premises or in the cloud yourself on top of Kubernetes to access all of the platform features with enterprise-grade automation and reliability. +## What Makes Up the Arango Data Platform + +The Arango Data Platform is built on a layered architecture that combines powerful +components into a unified solution: + +- **ArangoDB Enterprise Edition**: The multi-model database foundation supporting + graphs, documents, key-value, vector search, and full-text search capabilities. + +- **Graph Visualizer**: A sophisticated web-based interface for graph exploration, + smart search, visual layouts, and team collaboration workspaces. + +- **Arango Platform Suite**: Enterprise-grade features including high availability + and monitoring, the Graph Analytics Engine, SSO/RBAC/ABAC and OpenID integration, + comprehensive APIs and connectors, and centralized orchestration and resource management. + +All components are orchestrated through Kubernetes, providing automated deployment, +scaling, and management with enterprise-grade reliability. + +For a detailed breakdown of each component, see [Features and Architecture](features/). + +## Extend the Arango Data Platform with AI capabilities + +Take your Arango Data Platform to the next level with the [**AI Suite**](../ai-suite/_index.md) that offers advanced AI and machine learning capabilities that integrate seamlessly into the platform's unified web interface. + +What you get with the AI Suite: + +- [GraphRAG](../ai-suite/graphrag/): Generate knowledge graphs from documents and enable + conversational querying of your data. +- [GraphML](../ai-suite/graphml/): Apply machine learning algorithms that leverage graph + structure for better predictions. +- [Graph Analytics](../ai-suite/graph-analytics/): Run advanced algorithms like PageRank + to discover influential nodes and patterns. +- [Jupyter notebooks](../ai-suite/notebook-servers.md): Run Jupyter Notebooks to build and + experiment with graph-powered data, AI, and machine learning workflows directly connected + to ArangoDB databases. +- Public and private LLM support: Use public LLMs such as OpenAI + or private LLMs with [Triton Inference Server](../ai-suite/reference/triton-inference-server.md). +- [MLflow integration](../ai-suite/reference/mlflow.md): Use the popular MLflow as a model registry + for private LLMs or to run machine learning experiments as part of the Arango Data Platform. + +{{< tip >}} +The AI Suite integrate directly into the existing platform interface, no need for +separate systems to manage or learn. A separate license is required. +{{< /tip >}} + {{< cards >}} {{% card title="Get started with the Arango Data Platform" link="get-started/" %}} @@ -32,8 +77,8 @@ Optionally add AI Suite to turn data into an AI-powered knowledge engine. Explore the Kubernetes-native architecture, unified interface, and enterprise-grade capabilities of the Arango Data Platform. {{% /card %}} -{{% card title="ArangoDB Kubernetes Operator" link="../../arangodb/3.12/deploy/kubernetes/" %}} -Learn about the official ArangoDB Kubernetes Operator that powers the Arango Data Platform. +{{% card title="Kubernetes Integration " link="kubernetes/" %}} +Learn about the official Kubernetes integration that powers the Arango Data Platform. {{% /card %}} {{% card title="Graph Visualizer" link="graph-visualizer/" %}} diff --git a/site/content/data-platform/features.md b/site/content/data-platform/features.md index dacda654fa..5299b7ed84 100644 --- a/site/content/data-platform/features.md +++ b/site/content/data-platform/features.md @@ -1,10 +1,10 @@ --- -title: Feature list of the Arango Data Platform -menuTitle: Features +title: Architecture and Features of the Arango Data Platform +menuTitle: Architecture and Features weight: 5 description: >- - The Arango Data Platform is a scalable Kubernetes-native architecture that gets you all features - of ArangoDB as a single solution with a unified interface + Discover how the Arango Data Platform combines database, visualization, and enterprise + features into a unified, Kubernetes-native architecture --- ## Architecture @@ -18,8 +18,15 @@ scaling, and management. Powered by the official enterprise-grade database management and high availability. {{< /tip >}} -- **Core Database**: The ArangoDB database system forms the solid core - of the Arango Data Platform. +### Kubernetes Integration + +At its core, the Arango Data Platform is purpose-built for Kubernetes environments, leveraging the +[official ArangoDB Kubernetes Operator](https://arangodb.github.io/kube-arangodb/docs/) +(`kube-arangodb`) to deliver enterprise-grade automation, scalability, and operational excellence. + +For detailed information about the Kubernetes foundation, see [Kubernetes Integration](kubernetes/). + +### Technical Infrastructure - **Helm**: A package manager for Kubernetes that enables consistent, repeatable installations and version control. @@ -27,48 +34,66 @@ enterprise-grade database management and high availability. - **Envoy**: A high-performance service proxy that acts as the gateway for the Arango Data Platform for centralizing authentication and routing. -- **Web interface**: The Platform includes a unified, browser-based UI that lets - you access its features in an intuitive way. Optional products like the - AI Suite seamlessly integrate into the UI if installed. +## Platform Components -## Kubernetes Integration +The Arango Data Platform consists of three integrated layers that work together +to provide a complete, enterprise-ready solution: -At its core, the Arango Data Platform is purpose-built for Kubernetes environments, leveraging the -[official ArangoDB Kubernetes Operator](https://arangodb.github.io/kube-arangodb/docs/) -(`kube-arangodb`) to deliver enterprise-grade automation, scalability, and operational excellence. +### Layer 1: ArangoDB Enterprise Edition (Foundation) -## Features +At the foundation is [**ArangoDB Enterprise Edition**](../../arangodb/3.12/), the +powerful multi-model database that provides: -The Arango Data Platform provides these core capabilities out of the box: +- **Graph**: Native graph database capabilities with efficient traversals and pattern matching +- **Document**: Flexible JSON document storage with schema validation +- **Key-Value**: High-performance key-value operations +- **Vector**: Vector embeddings and similarity search for AI applications +- **Search**: Full-text search and complex query capabilities -- [**ArangoDB Core**](../arangodb/3.12/_index.md): The ArangoDB database system with support for - graphs, documents, key-value, full-text search, and vector search. +### Layer 2: Graph Visualizer -- [**Graph Visualizer**](graph-visualizer.md): - A web-based tool for exploring your graph data with an intuitive interface and - sophisticated querying capabilities. +The [**Arango Visualizer**](graph-visualizer/) provides an intuitive web-based interface +that brings your data to life with: -## Extend the Arango Data Platform with AI capabilities +- **Graph Exploration**: Interactive visualization of graph structures with + drag-and-drop navigation, zoom controls, and customizable node appearances + +- **Smart Search**: Intelligent search capabilities to quickly find nodes, edges, + and patterns within your graphs using natural language queries + +- **Visual Layouts**: Multiple automatic layout algorithms (force-directed, hierarchical, + circular) to best represent your data relationships + +- **Team Workspaces**: Collaborative features that allow teams to share visualizations, + queries, and insights across the organization -Take your Arango Data Platform to the next level with the [**AI Suite**](../ai-suite/_index.md) that offers advanced AI and machine learning capabilities that integrate seamlessly into the platform's unified web interface. +The Graph Visualizer seamlessly integrates with the database layer and provides the +primary interface for data exploration and analysis. -What you get with the AI Suite: +### Layer 3: Arango Platform Suite -- [GraphRAG](../ai-suite/graphrag/): Generate knowledge graphs from documents and enable - conversational querying of your data. -- [GraphML](../ai-suite/graphml/): Apply machine learning algorithms that leverage graph - structure for better predictions. -- [Graph Analytics](../ai-suite/graph-analytics/): Run advanced algorithms like PageRank - to discover influential nodes and patterns. -- [Jupyter notebooks](../ai-suite/notebook-servers.md): Run Jupyter Notebooks to build and - experiment with graph-powered data, AI, and machine learning workflows directly connected - to ArangoDB databases. -- Public and private LLM support: Use public LLMs such as OpenAI - or private LLMs with [Triton Inference Server](../ai-suite/reference/triton-inference-server.md). -- [MLflow integration](../ai-suite/reference/mlflow.md): Use the popular MLflow as a model registry - for private LLMs or to run machine learning experiments as part of the Arango Data Platform. +The **Arango Platform Suite** adds enterprise-grade capabilities on top of the +database and visualization layers: -{{< tip >}} -The AI Suite integrate directly into the existing platform interface, no need for -separate systems to manage or learn. A separate license is required. -{{< /tip >}} +- **High Availability and Monitoring**: Comprehensive health checks, metrics collection, + alerting, and automatic failover mechanisms ensure your data platform stays operational. + Real-time monitoring dashboards provide visibility into cluster performance, + resource utilization, and query patterns. + +- **SSO, RBAC/ABAC and OpenID Integration**: Enterprise authentication and authorization + featuring Single Sign-On (SSO) support, Role-Based Access Control (RBAC), + Attribute-Based Access Control (ABAC), and OpenID Connect integration for secure + user management across your organization. + +- **APIs, Drivers and Connectors**: Comprehensive programmatic access through + RESTful APIs, native drivers for popular programming languages (Java, Python, + JavaScript, Go, PHP, and more), and connectors for data integration tools + and BI platforms. + +- **Centralized Orchestration and Resource Management**: Unified control plane + for managing all platform resources, deployments, and configurations. + Kubernetes-powered orchestration handles scaling, updates, and resource + allocation automatically across all components. + +These enterprise features are orchestrated through Kubernetes and the ArangoDB +Kubernetes Operator, providing automated management and enterprise-grade reliability. \ No newline at end of file diff --git a/site/content/data-platform/kubernetes.md b/site/content/data-platform/kubernetes.md new file mode 100644 index 0000000000..0bbdaaae6f --- /dev/null +++ b/site/content/data-platform/kubernetes.md @@ -0,0 +1,82 @@ +--- +title: Kubernetes Integration +menuTitle: Kubernetes +weight: 15 +description: >- + The Arango Data Platform is built exclusively for Kubernetes, leveraging + container orchestration for automated deployment, scaling, and management +--- + +The Arango Data Platform is **Kubernetes-native** by design, meaning it is built +from the ground up to run on [Kubernetes](https://kubernetes.io/) and requires +it to function. This is not an optional feature, Kubernetes is the foundation +that powers the entire platform architecture. + +{{< info >}} +**Kubernetes Required**: The Arango Data Platform cannot operate without Kubernetes. +It relies on Kubernetes orchestration and the +[ArangoDB Kubernetes Operator](https://arangodb.github.io/kube-arangodb/) for +all deployment, scaling, and management operations. +{{< /info >}} + +## Why Kubernetes? + +By building exclusively on Kubernetes, the Arango Data Platform delivers +enterprise-grade capabilities that would be difficult or impossible to achieve +with traditional deployment approaches: + +- **Automated Management and Self-Healing**: Kubernetes handles deployment, + scaling, node failures, and rolling updates automatically, with self-healing + capabilities that restart failed containers and maintain high availability + without manual intervention. + +- **Dynamic Scalability and Resource Optimization**: Scale your database cluster + up or down based on workload demands, with efficient resource allocation and + scheduling ensuring optimal utilization of CPU, memory, and storage. + +- **Declarative Configuration and Zero-Downtime Updates**: Define your desired + state using Kubernetes manifests and deploy updates with zero downtime through + controlled rolling updates and easy rollback capabilities. + +- **Cloud and On-Premises Flexibility**: Run on any Kubernetes-compatible + environment—public cloud providers (AWS, Azure, GCP), private cloud, or + on-premises infrastructure—with consistent deployment across all environments. + +## The ArangoDB Kubernetes Operator + +The Arango Data Platform is powered by the official +[ArangoDB Kubernetes Operator](https://arangodb.github.io/kube-arangodb/) +(`kube-arangodb`), which provides: + +- **Custom Resource Definitions (CRDs)**: Extend Kubernetes with ArangoDB-specific + resources like `ArangoDeployment`, `ArangoBackup`, and more. + +- **Intelligent Orchestration**: The operator understands ArangoDB's architecture + and requirements, ensuring deployments follow best practices automatically. + +- **Backup and Restore**: Automated backup management integrated directly into + the Kubernetes workflow. + +- **High Availability**: Built-in support for multi-datacenter replication, + automatic failover, and disaster recovery scenarios. + +- **Enterprise Features**: Full support for ArangoDB Enterprise Edition features + including encryption, auditing, and advanced security controls. + +For detailed information about the operator, see the +[ArangoDB Kubernetes Operator documentation](https://arangodb.github.io/kube-arangodb/docs/). + +## Platform Services as Kubernetes Resources + +All components of the Arango Data Platform, from the core database to the optional +AI Suite, are deployed and managed as native Kubernetes resources. This +means you can: + +- Use standard Kubernetes tools (`kubectl`, Helm, etc.) to manage your deployment +- Monitor platform health using Kubernetes-native observability tools +- Integrate with existing Kubernetes infrastructure and workflows +- Apply your organization's Kubernetes policies and security controls + +This Kubernetes-native approach ensures the Arango Data Platform fits naturally +into modern cloud-native environments and DevOps practices. + From 8507f86e45206db28cddd4ff70000bc2a9dfdb8d Mon Sep 17 00:00:00 2001 From: Paula Mihu <97217318+nerpaula@users.noreply.github.com> Date: Mon, 3 Nov 2025 17:20:21 +0100 Subject: [PATCH 3/7] Apply suggestions from code review Co-authored-by: Simran --- site/content/data-platform/get-started.md | 4 ++-- site/content/data-platform/kubernetes.md | 5 ++--- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/site/content/data-platform/get-started.md b/site/content/data-platform/get-started.md index 33c4c4b619..dbe94f2ff2 100644 --- a/site/content/data-platform/get-started.md +++ b/site/content/data-platform/get-started.md @@ -21,8 +21,8 @@ of the platform features. ## Use the Arango Data Platform as a managed service -The Arango Data Platform can be made available as a managed service for the -[Arango Managed Platform (AMP)](../../amp/_index.md) upon request. +You can request the Arango Data Platform as a managed service for the +[Arango Managed Platform (AMP)](../../amp/_index.md). [Get in touch](https://arango.ai/contact-us/) with the Arango team to learn more. ## Self-host the Arango Data Platform diff --git a/site/content/data-platform/kubernetes.md b/site/content/data-platform/kubernetes.md index 0bbdaaae6f..d8e29abc0d 100644 --- a/site/content/data-platform/kubernetes.md +++ b/site/content/data-platform/kubernetes.md @@ -6,7 +6,6 @@ description: >- The Arango Data Platform is built exclusively for Kubernetes, leveraging container orchestration for automated deployment, scaling, and management --- - The Arango Data Platform is **Kubernetes-native** by design, meaning it is built from the ground up to run on [Kubernetes](https://kubernetes.io/) and requires it to function. This is not an optional feature, Kubernetes is the foundation @@ -46,7 +45,7 @@ with traditional deployment approaches: The Arango Data Platform is powered by the official [ArangoDB Kubernetes Operator](https://arangodb.github.io/kube-arangodb/) -(`kube-arangodb`), which provides: +(`kube-arangodb`), which provides the following features: - **Custom Resource Definitions (CRDs)**: Extend Kubernetes with ArangoDB-specific resources like `ArangoDeployment`, `ArangoBackup`, and more. @@ -70,7 +69,7 @@ For detailed information about the operator, see the All components of the Arango Data Platform, from the core database to the optional AI Suite, are deployed and managed as native Kubernetes resources. This -means you can: +means you can do the following: - Use standard Kubernetes tools (`kubectl`, Helm, etc.) to manage your deployment - Monitor platform health using Kubernetes-native observability tools From aa513784e6f1efd7fc97743f06de9a825c594827 Mon Sep 17 00:00:00 2001 From: Paula Date: Mon, 3 Nov 2025 17:44:59 +0100 Subject: [PATCH 4/7] apply review suggestions --- site/content/data-platform/_index.md | 17 +++++----- site/content/data-platform/features.md | 40 ++++++++++-------------- site/content/data-platform/kubernetes.md | 4 +-- 3 files changed, 28 insertions(+), 33 deletions(-) diff --git a/site/content/data-platform/_index.md b/site/content/data-platform/_index.md index 218cb13c35..28547ba9e8 100644 --- a/site/content/data-platform/_index.md +++ b/site/content/data-platform/_index.md @@ -30,11 +30,11 @@ components into a unified solution: graphs, documents, key-value, vector search, and full-text search capabilities. - **Graph Visualizer**: A sophisticated web-based interface for graph exploration, - smart search, visual layouts, and team collaboration workspaces. + smart search, and visual layouts. - **Arango Platform Suite**: Enterprise-grade features including high availability - and monitoring, the Graph Analytics Engine, SSO/RBAC/ABAC and OpenID integration, - comprehensive APIs and connectors, and centralized orchestration and resource management. + and monitoring, the Graph Analytics Engine, comprehensive APIs and connectors, + and centralized orchestration and resource management. All components are orchestrated through Kubernetes, providing automated deployment, scaling, and management with enterprise-grade reliability. @@ -43,7 +43,9 @@ For a detailed breakdown of each component, see [Features and Architecture](feat ## Extend the Arango Data Platform with AI capabilities -Take your Arango Data Platform to the next level with the [**AI Suite**](../ai-suite/_index.md) that offers advanced AI and machine learning capabilities that integrate seamlessly into the platform's unified web interface. +Extend the Arango Data Platform with the [**AI Suite**](../ai-suite/_index.md) +that offers advanced AI and machine learning capabilities that integrate seamlessly +into the platform's unified web interface. What you get with the AI Suite: @@ -62,8 +64,7 @@ What you get with the AI Suite: for private LLMs or to run machine learning experiments as part of the Arango Data Platform. {{< tip >}} -The AI Suite integrate directly into the existing platform interface, no need for -separate systems to manage or learn. A separate license is required. +The AI Suite requires a separate license. {{< /tip >}} {{< cards >}} @@ -77,8 +78,8 @@ Optionally add AI Suite to turn data into an AI-powered knowledge engine. Explore the Kubernetes-native architecture, unified interface, and enterprise-grade capabilities of the Arango Data Platform. {{% /card %}} -{{% card title="Kubernetes Integration " link="kubernetes/" %}} -Learn about the official Kubernetes integration that powers the Arango Data Platform. +{{% card title="Kubernetes-Native Architecture" link="kubernetes/" %}} +Learn about the Kubernetes-native foundation that the Arango Data Platform is purpose-built on. {{% /card %}} {{% card title="Graph Visualizer" link="graph-visualizer/" %}} diff --git a/site/content/data-platform/features.md b/site/content/data-platform/features.md index 5299b7ed84..e857993744 100644 --- a/site/content/data-platform/features.md +++ b/site/content/data-platform/features.md @@ -36,10 +36,10 @@ For detailed information about the Kubernetes foundation, see [Kubernetes Integr ## Platform Components -The Arango Data Platform consists of three integrated layers that work together -to provide a complete, enterprise-ready solution: +The Arango Data Platform consists of multiple integrated components that work together +to provide a complete, enterprise-ready solution. -### Layer 1: ArangoDB Enterprise Edition (Foundation) +### ArangoDB Enterprise Edition At the foundation is [**ArangoDB Enterprise Edition**](../../arangodb/3.12/), the powerful multi-model database that provides: @@ -50,41 +50,35 @@ powerful multi-model database that provides: - **Vector**: Vector embeddings and similarity search for AI applications - **Search**: Full-text search and complex query capabilities -### Layer 2: Graph Visualizer +### Graph Visualizer -The [**Arango Visualizer**](graph-visualizer/) provides an intuitive web-based interface +The [**Graph Visualizer**](graph-visualizer/) provides an intuitive web-based interface that brings your data to life with: -- **Graph Exploration**: Interactive visualization of graph structures with - drag-and-drop navigation, zoom controls, and customizable node appearances +- **Interactive Graph Exploration**: Visualize named graphs with node expansion, + shortest path discovery, and AQL-powered queries including Canvas Actions that + work with your selection to discover related data -- **Smart Search**: Intelligent search capabilities to quickly find nodes, edges, - and patterns within your graphs using natural language queries +- **Visual Customization and Layouts**: Customize node colors, icons, and labels + with saveable themes, and apply automatic layout algorithms (force-directed, + hierarchical, circular) with zoom controls and minimap navigation -- **Visual Layouts**: Multiple automatic layout algorithms (force-directed, hierarchical, - circular) to best represent your data relationships - -- **Team Workspaces**: Collaborative features that allow teams to share visualizations, - queries, and insights across the organization +- **Direct Graph Editing**: Create, modify, and delete nodes and edges directly + from the canvas with an intuitive properties dialog supporting both form and + JSON editing modes -The Graph Visualizer seamlessly integrates with the database layer and provides the +The Graph Visualizer seamlessly integrates with the ArangoDB database and provides the primary interface for data exploration and analysis. -### Layer 3: Arango Platform Suite +### Arango Platform Suite -The **Arango Platform Suite** adds enterprise-grade capabilities on top of the -database and visualization layers: +The **Arango Platform Suite** adds enterprise-grade capabilities such as: - **High Availability and Monitoring**: Comprehensive health checks, metrics collection, alerting, and automatic failover mechanisms ensure your data platform stays operational. Real-time monitoring dashboards provide visibility into cluster performance, resource utilization, and query patterns. -- **SSO, RBAC/ABAC and OpenID Integration**: Enterprise authentication and authorization - featuring Single Sign-On (SSO) support, Role-Based Access Control (RBAC), - Attribute-Based Access Control (ABAC), and OpenID Connect integration for secure - user management across your organization. - - **APIs, Drivers and Connectors**: Comprehensive programmatic access through RESTful APIs, native drivers for popular programming languages (Java, Python, JavaScript, Go, PHP, and more), and connectors for data integration tools diff --git a/site/content/data-platform/kubernetes.md b/site/content/data-platform/kubernetes.md index d8e29abc0d..e58769feef 100644 --- a/site/content/data-platform/kubernetes.md +++ b/site/content/data-platform/kubernetes.md @@ -1,9 +1,9 @@ --- -title: Kubernetes Integration +title: Kubernetes-Native Architecture menuTitle: Kubernetes weight: 15 description: >- - The Arango Data Platform is built exclusively for Kubernetes, leveraging + The Arango Data Platform is purpose-built for Kubernetes, leveraging container orchestration for automated deployment, scaling, and management --- The Arango Data Platform is **Kubernetes-native** by design, meaning it is built From b65946ee91e7b990334efdb8c1bf19f9891f5fd1 Mon Sep 17 00:00:00 2001 From: Paula Mihu <97217318+nerpaula@users.noreply.github.com> Date: Mon, 3 Nov 2025 20:55:40 +0100 Subject: [PATCH 5/7] Apply suggestion from @nerpaula --- site/content/data-platform/features.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/site/content/data-platform/features.md b/site/content/data-platform/features.md index e857993744..990e86821f 100644 --- a/site/content/data-platform/features.md +++ b/site/content/data-platform/features.md @@ -18,7 +18,7 @@ scaling, and management. Powered by the official enterprise-grade database management and high availability. {{< /tip >}} -### Kubernetes Integration +### Kubernetes-Native At its core, the Arango Data Platform is purpose-built for Kubernetes environments, leveraging the [official ArangoDB Kubernetes Operator](https://arangodb.github.io/kube-arangodb/docs/) From ef50361c48cd6ef6c71601ac3a869a511f3c76ac Mon Sep 17 00:00:00 2001 From: Paula Date: Wed, 5 Nov 2025 16:30:12 +0100 Subject: [PATCH 6/7] review --- site/content/data-platform/_index.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/site/content/data-platform/_index.md b/site/content/data-platform/_index.md index 28547ba9e8..000202e80c 100644 --- a/site/content/data-platform/_index.md +++ b/site/content/data-platform/_index.md @@ -33,8 +33,8 @@ components into a unified solution: smart search, and visual layouts. - **Arango Platform Suite**: Enterprise-grade features including high availability - and monitoring, the Graph Analytics Engine, comprehensive APIs and connectors, - and centralized orchestration and resource management. + and monitoring, comprehensive APIs and connectors, centralized orchestration and + resource management. All components are orchestrated through Kubernetes, providing automated deployment, scaling, and management with enterprise-grade reliability. @@ -55,6 +55,7 @@ What you get with the AI Suite: structure for better predictions. - [Graph Analytics](../ai-suite/graph-analytics/): Run advanced algorithms like PageRank to discover influential nodes and patterns. +- [AQLizer](../ai-suite/aqlizer.): Generate AQL queries from natural language. - [Jupyter notebooks](../ai-suite/notebook-servers.md): Run Jupyter Notebooks to build and experiment with graph-powered data, AI, and machine learning workflows directly connected to ArangoDB databases. From 442bfa587eeb7b2c1d71f770b8ca866ed8de3509 Mon Sep 17 00:00:00 2001 From: Simran Spiller Date: Wed, 5 Nov 2025 16:41:21 +0100 Subject: [PATCH 7/7] Fix link --- site/content/data-platform/_index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/site/content/data-platform/_index.md b/site/content/data-platform/_index.md index 000202e80c..dd77dd39b2 100644 --- a/site/content/data-platform/_index.md +++ b/site/content/data-platform/_index.md @@ -55,7 +55,7 @@ What you get with the AI Suite: structure for better predictions. - [Graph Analytics](../ai-suite/graph-analytics/): Run advanced algorithms like PageRank to discover influential nodes and patterns. -- [AQLizer](../ai-suite/aqlizer.): Generate AQL queries from natural language. +- [AQLizer](../ai-suite/aqlizer.md): Generate AQL queries from natural language. - [Jupyter notebooks](../ai-suite/notebook-servers.md): Run Jupyter Notebooks to build and experiment with graph-powered data, AI, and machine learning workflows directly connected to ArangoDB databases.