rename ArangoDB Platform to Arango Data Platform

Author: nerpaula

site/content/data-platform/_index.md

@@ -7,8 +7,8 @@ layout: default
 
 {{< cards >}}
 
-{{% card title="What is the ArangoDB Platform?" link="about/" %}}
-The ArangoDB Platform is the umbrella for hosting the entire ArangoDB offering
+{{% card title="What is the Arango Data Platform?" link="about/" %}}
+The Arango Data Platform is the umbrella for hosting the entire ArangoDB offering
 of products, including GraphML and GraphRAG.
 {{% /card %}}
 

site/content/data-platform/about/_index.md

@@ -1,25 +1,25 @@
 ---
-title: The ArangoDB Platform
+title: The Arango Data Platform
 menuTitle: Platform
 weight: 5
 description: >-
-  The ArangoDB Platform brings everything ArangoDB offers together to a single
+  The Arango Data Platform brings everything ArangoDB offers together to a single
   solution that you can deploy on-prem or use as a managed service
 ---
 {{< tip >}}
-The ArangoDB Platform & GenAI Suite is available as a pre-release. To get
+The Arango Data Platform & GenAI Suite is available as a pre-release. To get
 exclusive early access, [get in touch](https://arangodb.com/contact/) with
 the ArangoDB team.
 {{< /tip >}}
 
-The ArangoDB Platform is a technical infrastructure that acts as the umbrella
+The Arango Data Platform is a technical infrastructure that acts as the umbrella
 for hosting the entire ArangoDB offering of products. The Platform makes it easy
 to deploy and operate the core ArangoDB database system along with any additional
 ArangoDB products for machine learning, data explorations, and more. You can
 run it on-premises or in the cloud yourself on top of Kubernetes to access all
 of the platform features.
 
-## Features of the ArangoDB Platform
+## Features of the Arango Data Platform
 
 - **Core database system**: The ArangoDB graph database system for storing
   interconnected data.{{< comment >}} You can use the free Community Edition or the commercial
@@ -50,7 +50,7 @@ of the platform features.
       - **Public and private LLM support**: Use public LLMs such as OpenAI
         or private LLMs with [Triton Inference Server](../../gen-ai/services/triton-inference-server.md).
       - **MLflow integration**: Use the popular MLflow as a model registry for private LLMs
-        or to run machine learning experiments as part of the ArangoDB Platform.
+        or to run machine learning experiments as part of the Arango Data Platform.
 - **Jupyter notebooks**: Run a Jupyter kernel in the platform for hosting
   interactive notebooks for experimentation and development of applications
   that use ArangoDB as their backend.
@@ -60,28 +60,28 @@ of the platform features.
   index type. It allows you to find similar items in your dataset.
 {{< /comment >}}
 
-## Get started with the ArangoDB Platform
+## Get started with the Arango Data Platform
 
-### Use the ArangoDB Platform as a managed service
+### Use the Arango Data Platform as a managed service
 
-The ArangoDB Platform is not available as a managed service yet, but it will
+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
-ArangoDB Platform for testing.
+Arango Data Platform for testing.
 
-### Self-host the ArangoDB Platform
+### Self-host the Arango Data Platform
 
-You can set up and run the ArangoDB Platform on-premises or in the cloud and
+You can set up and run the Arango Data Platform on-premises or in the cloud and
 manage this deployment yourself.
 
 #### Requirements for self-hosting
 
-- **Early access to the ArangoDB Platform**:
+- **Early access to the Arango Data Platform**:
   [Get in touch](https://arangodb.com/contact/) with the ArangoDB team to get
-  exclusive early access to the pre-release of the ArangoDB Platform & GenAI Suite.
+  exclusive early access to the pre-release of the Arango Data Platform & GenAI Suite.
 
 - **Kubernetes**: Orchestrates the selected services that comprise the
-  ArangoDB Platform, running them in containers for safety and scalability.
+  Arango Data Platform, running them in containers for safety and scalability.
 
   Set up a [Kubernetes](https://kubernetes.io/) cluster if you don't have one
   available yet.
@@ -111,7 +111,7 @@ manage this deployment yourself.
 
 #### Setup
 
-1. Obtain a zip package of the ArangoDB Platform for the offline installation.
+1. Obtain a zip package of the Arango Data Platform for the offline installation.
    It includes helm charts, manifests, and blobs of the container image layers.
    You also receive a package configuration file from the ArangoDB team.
 
@@ -190,7 +190,7 @@ manage this deployment yourself.
       # ...
     ```
 
-6. Download the ArangoDB Platform CLI tool `arangodb_operator_platform` from
+6. Download the Arango Data Platform CLI tool `arangodb_operator_platform` from
    <https://github.com/arangodb/kube-arangodb/releases>.
    It is available for Linux and macOS, for the x86-64 as well as 64-bit ARM
    architecture (e.g. `arangodb_operator_platform_linux_amd64`).
@@ -202,7 +202,7 @@ manage this deployment yourself.
    The Platform CLI tool simplifies the further setup and later management of
    the Platform's Kubernetes services.
 
-7. Import the zip package of the ArangoDB Platform into the container registry.
+7. Import the zip package of the Arango Data Platform into the container registry.
    Replace `platform.zip` with the file path of the offline installation package.
    Replace `gcr.io/my-reg` with the address of your registry.
 
@@ -231,13 +231,13 @@ manage this deployment yourself.
 
 ## Interfaces
 
-The ArangoDB Platform uses a gateway to make all its services available via a
+The Arango Data Platform uses a gateway to make all its services available via a
 single port at the external address of the deployment. For a local deployment,
 the base URL is `https://127.0.0.1:8529`.
 
 ### Unified web interface
 
-You can access the ArangoDB Platform web interface with a browser by appending
+You can access the Arango Data Platform web interface with a browser by appending
 `/ui/` to the base URL, e.g. `https://127.0.0.1:8529/ui/`.
 
 ### ArangoDB Core

site/content/data-platform/about/features.md

@@ -1,16 +1,16 @@
 ---
-title: Feature list of the ArangoDB Platform
-menuTitle: ArangoDB Platform
+title: Feature list of the Arango Data Platform
+menuTitle: Arango Data Platform
 weight: 10
 description: >-
-  The ArangoDB Platform is a scalable architecture that gets you all features
+  The Arango Data Platform is a scalable architecture that gets you all features
   of ArangoDB including graph-powered machine learning and GenAI as a single
   solution with a unified interface
 ---
 ## Architecture
 
 - **Core Database**: The ArangoDB database system forms the solid core
-  of the ArangoDB Platform.
+  of the Arango Data Platform.
 
 - **Kubernetes**: An open-source container orchestration system for automating
   software deployment, scaling, and management designed by Google. It is the
@@ -20,7 +20,7 @@ description: >-
   installations and version control.
 
 - **Envoy**: A high-performance service proxy that acts as the gateway for the
-  ArangoDB Platform for centralizing authentication and routing.
+  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
@@ -51,4 +51,4 @@ description: >-
 
 - [**MLflow integration**](../../gen-ai/services/mlflow.md):
   Use the popular MLflow for machine learning practitioners as part of the
-  ArangoDB Platform.
+  Arango Data Platform.

site/content/data-platform/graph-visualizer.md

@@ -6,13 +6,13 @@ description: >-
   Visually explore and interact with your ArangoDB graphs through an intuitive interface
 ---
 {{< tip >}}
-The ArangoDB Platform & GenAI Suite is available as a pre-release. To get
+The Arango Data Platform & GenAI Suite is available as a pre-release. To get
 exclusive early access, [get in touch](https://arangodb.com/contact/) with
 the ArangoDB team.
 {{< /tip >}}
 
 The **Graph Visualizer** is a browser-based tool integrated into the web interface
-of the ArangoDB Platform. It lets you explore the connections of your named graphs
+of the Arango Data Platform. It lets you explore the connections of your named graphs
 to visually understand the structure as well as to inspect and edit the attributes
 of individual nodes and edges. It also offers query capabilities and you can
 create new nodes (vertices) and edges (relations).
@@ -49,7 +49,7 @@ supported by the Graph Visualizer.
 
 ### Select and load a graph
 
-1. In the ArangoDB Platform web interface, select the database your named graph
+1. In the Arango Data Platform web interface, select the database your named graph
    is stored in.
 2. Click **Graphs** in the main navigation.
 3. Select a graph from the list.

site/content/data-platform/release-notes.md

@@ -1,34 +1,34 @@
 ---
-title: What's new in the ArangoDB Platform
+title: What's new in the Arango Data Platform
 menuTitle: Release notes
 weight: 50
 description: >-
-  Features and improvements in the ArangoDB Platform
+  Features and improvements in the Arango Data Platform
 ---
 {{< tip >}}
-The ArangoDB Platform & GenAI Suite is available as a pre-release. To get
+The Arango Data Platform & GenAI Suite is available as a pre-release. To get
 exclusive early access, [get in touch](https://arangodb.com/contact/) with
 the ArangoDB team.
 {{< /tip >}}
 
-## ArangoDB Platform
+## Arango Data Platform
 
 <small>Introduced in: v3.12.5</small>
 
-The ArangoDB Platform is a scalable architecture that offers you all features
+The Arango Data Platform is a scalable architecture that offers you all features
 of the core ArangoDB database system along with graph-powered machine learning
 and GenAI capabilities as a single solution with a unified interface. Deploy the
 Platform on-premise or in the cloud on top of Kubernetes.
 
-To get started, see [Self-host the ArangoDB Platform](about/_index.md#self-host-the-arangodb-platform).
+To get started, see [Self-host the Arango Data Platform](about/_index.md#self-host-the-arango-data-platform).
 
 ### GenAI Suite
 
-The ArangoDB Platform features a dedicated GenAI and data science suite, built upon
+The Arango Data Platform features a dedicated GenAI and data science suite, built upon
 the powerful ArangoDB database core.
 
 The GenAI suite consists of the following components, each featuring an intuitive,
-user-friendly interface seamlessly integrated into the ArangoDB Platform web interface:
+user-friendly interface seamlessly integrated into the Arango Data Platform web interface:
 - GraphRAG
 - GraphML
 - Jupyter Notebooks

site/content/gen-ai/graph-analytics.md

@@ -17,7 +17,7 @@ and network flow analysis.
 ArangoDB offers a feature for running algorithms on your graph data,
 called Graph Analytics Engines (GAEs). It is available on request for the
 [Arango Managed Platform (AMP)](https://dashboard.arangodb.cloud/home?utm_source=docs&utm_medium=cluster_pages&utm_campaign=docs_traffic)
-and included in the [ArangoDB Platform](../data-platform/about/_index.md).
+and included in the [Arango Data Platform](../data-platform/about/_index.md).
 
 Key features:
 
@@ -40,7 +40,7 @@ How to perform the steps is detailed in the subsequent sections.
 
 {{< tabs "platforms" >}}
 
-{{< tab "ArangoDB Platform" >}}
+{{< tab "Arango Data Platform" >}}
 1. Determine the approximate size of the data that you will load into the GAE
    and ensure the machine to run the engine on has sufficient memory. The data as well as the
    temporarily needed space for computations and results needs to fit in memory.
@@ -88,8 +88,8 @@ Single server deployments using ArangoDB version 3.11 are not supported.
 
 {{< tabs "platforms" >}}
 
-{{< tab "ArangoDB Platform" >}}
-You can use any of the available authentication methods the ArangoDB Platform
+{{< tab "Arango Data Platform" >}}
+You can use any of the available authentication methods the Arango Data Platform
 supports to start and stop `graphanalytics` services via the GenAI service as
 well as to authenticate requests to the [Engine API](#engine-api).
 
@@ -129,15 +129,15 @@ setting in ArangoGraph:
 
 The interface for managing the engines depends on the environment you use:
 
-- **ArangoDB Platform**: [GenAI service](#genai-service)
+- **Arango Data Platform**: [GenAI service](#genai-service)
 - **ArangoGraph**: [Management API](#management-api)
 
 ### GenAI service
 
 {{< tag "GenAI Data Platform" >}}
 
 GAEs are deployed and deleted via the [GenAI service](services/gen-ai.md)
-in the ArangoDB Platform.
+in the Arango Data Platform.
 
 If you use cURL, you need to use the `-k` / `--insecure` option for requests
 if the Platform deployment uses a self-signed certificate (default).
@@ -309,7 +309,7 @@ curl -H "Authorization: bearer $ARANGO_GRAPH_TOKEN" -X DELETE "$BASE_URL/engines
 
 {{< tabs "platforms" >}}
 
-{{< tab "ArangoDB Platform" >}}
+{{< tab "Arango Data Platform" >}}
 To determine the base URL of the engine API, use the base URL of the Platform
 deployment and append `/gral/<SERVICE_ID>`, e.g.
 `https://127.0.0.1:8529/gral/arangodb-gral-tqcge`.

site/content/gen-ai/graph-to-ai.md

@@ -11,7 +11,7 @@ aliases:
 - [Link to 3.12](../arangodb/3.12/aql/_index.md)
 
 {{< tip >}}
-The ArangoDB Platform & GenAI Suite is available as a pre-release. To get
+The Arango Data Platform & GenAI Suite is available as a pre-release. To get
 exclusive early access, [get in touch](https://arangodb.com/contact/) with
 the ArangoDB team.
 {{< /tip >}}
@@ -44,7 +44,7 @@ The GenAI Suite is comprised of two major components:
   classification, and similar tasks.
 
 Each component has an intuitive graphical user interface integrated into the
-ArangoDB Platform web interface, guiding you through the process.
+Arango Data Platform web interface, guiding you through the process.
 
 Alongside these components, you also get the following additional features:
 
@@ -56,7 +56,7 @@ Alongside these components, you also get the following additional features:
 - **Public and private LLM support**: Use public LLMs such as OpenAI
   or private LLMs with [Triton Inference Server](services/triton-inference-server.md).  
 - [**MLflow integration**](services/mlflow.md): Use the popular MLflow as a model registry for private LLMs
-  or to run machine learning experiments as part of the ArangoDB Platform.
+  or to run machine learning experiments as part of the Arango Data Platform.
 - [**Adapters**](../ecosystem/adapters/_index.md): Use ArangoDB together with cuGraph, NetworkX,
   and other data science tools. 
 - **Application Programming Interfaces**: Use the underlying APIs of the
@@ -66,7 +66,7 @@ Alongside these components, you also get the following additional features:
 
 ## Other tools and features
 
-The ArangoDB Platform includes the following features independent of the
+The Arango Data Platform includes the following features independent of the
 GenAI Suite:
 
 - [**Graph Analytics**](graph-analytics.md): Run graph algorithms such as PageRank

site/content/gen-ai/graphml/_index.md

@@ -8,7 +8,7 @@ aliases:
   - arangographml
 ---
 {{< tip >}}
-The ArangoDB Platform & GenAI Suite is available as a pre-release. To get
+The Arango Data Platform & GenAI Suite is available as a pre-release. To get
 exclusive early access, [get in touch](https://arangodb.com/contact/) with
 the ArangoDB team.
 {{< /tip >}}

site/content/gen-ai/graphml/notebooks-api.md

@@ -9,7 +9,7 @@ aliases:
   - ../arangographml/getting-started
   - ../arangographml-getting-started-with-arangographml
 ---
-The ArangoDB Platform provides an easy-to-use & scalable interface to run
+The Arango Data Platform provides an easy-to-use & scalable interface to run
 Graph Machine Learning on ArangoDB data. Since all the orchestration and Machine Learning logic is
 managed by ArangoDB, all that is typically required are JSON specifications outlining
 individual processes to solve a Machine Learning task.
@@ -80,7 +80,7 @@ news sources, and locations are interconnected into a large graph.
 ![Example Event](../../images/ArangoML_open_intelligence_visualization.png)
 
 The [`arango-datasets`](../../arangodb/3.12/components/tools/arango-datasets.md) Python package
-allows you to load pre-defined datasets into ArangoDB Platform. It comes pre-installed in the
+allows you to load pre-defined datasets into Arango Data Platform. It comes pre-installed in the
 GraphML notebook environment.
 
 ```py

site/content/gen-ai/graphml/quickstart.md

@@ -3,14 +3,14 @@ title: How to get started with GraphML
 menuTitle: Quickstart
 weight: 5
 description: >-
-  You can use GraphML straight within the ArangoDB Platform, via the web interface
+  You can use GraphML straight within the Arango Data Platform, via the web interface
   or via Notebooks
 aliases:
   - ../arangographml/deploy  
 ---
 ## Web interface versus Jupyter Notebooks
 
-The ArangoDB Platform provides enterprise-ready Graph Machine Learning in two options,
+The Arango Data Platform provides enterprise-ready Graph Machine Learning in two options,
 tailored to suit diverse requirements and preferences: 
 - Using the web interface
 - In a scriptable manner, using the integrated Jupyter Notebooks and the HTTP API for GraphML
@@ -20,7 +20,7 @@ tailored to suit diverse requirements and preferences:
 {{< tabs "graphml-setup" >}}
 
 {{< tab "Web Interface" >}}
-The web interface of the ArangoDB Platform allows you to create, configure, and
+The web interface of the Arango Data Platform allows you to create, configure, and
 run a full machine learning workflow for GraphML. To get started, see the
 [Web interface for GraphML](ui.md) page.
 {{< /tab >}}