This document provides instructions on how to configure a custom values file for the Scalar Manager Helm Chart. For details about the available parameters, see the README in the Scalar Manager chart repository.
This document explains how to create your custom values file for the ScalarDB Analytics server chart. For details on the parameters, see the README of the ScalarDB Analytics server chart.
This guide explains how to create a ScalarDB Analytics catalog. The ScalarDB Analytics catalog serves as the central hub that organizes information from various underlying data sources, including database schemas and contact points, enabling you to run analytical queries across these data sources through a unified interface. This information is referred to as catalog information.
This reference guide provides detailed information about data source configuration formats, provider-specific settings, and data type mappings for ScalarDB Analytics.
Scalar Manager is a centralized management and monitoring solution for ScalarDB and ScalarDL in Kubernetes clusters. It enables you to:
This guide explains how to deploy ScalarDB Analytics in a public cloud environment. ScalarDB Analytics consists of two main components: a ScalarDB Analytics server and Apache Spark. In this guide, you can choose either Amazon EMR or Databricks for the Spark environment.
This guide explains how to deploy ScalarDB Analytics to a local Kubernetes cluster, specifically designed for testing purposes, by using a Helm Chart.
This getting-started tutorial guide explains how to set up ScalarDB Analytics and run federated queries across different databases, including PostgreSQL, MySQL, and Cassandra. For an overview of ScalarDB Analytics and its key benefits, refer to the ScalarDB Overview and ScalarDB Design pages.
Scalar Manager is a centralized management and monitoring solution for ScalarDB and ScalarDL in Kubernetes environments. It simplifies operational tasks by providing a graphical user interface (GUI) that combines functionalities previously managed through separate command-line tools and third-party solutions.
Scalar Manager is a centralized management and monitoring solution for ScalarDB within Kubernetes cluster environments that allows you to:
In this sub-category, you can learn how to set up and configure ScalarDB Analytics, an analytics component of ScalarDB. After setting it up, you can run analytical queries over ScalarDB-managed databases, which are updated through ScalarDB transactions, and non-ScalarDB-managed databases.
This guide explains how to develop ScalarDB Analytics applications. For details on the architecture and design, see ScalarDB Analytics Design
This document provides a list of explanations for all metrics available in Scalar Manager, via Grafana, to help you monitor the performance, health, and operational status of your ScalarDB and ScalarDL deployments.
Scalar Manager is a centralized management and monitoring solution for ScalarDB within Kubernetes cluster environments.
The ScalarDB Analytics CLI uses a hierarchical command structure:
This page provides a comprehensive reference for configuring all components of ScalarDB Analytics.
ScalarDB Analytics is the analytical component of ScalarDB. Similar to ScalarDB, it unifies diverse data sources—ranging from RDBMSs like PostgreSQL and MySQL to NoSQL databases like Cassandra and DynamoDB—into a single logical database. This enables you to perform analytical queries across multiple databases seamlessly.
In this sub-category, you can see tutorials on how to run analytical queries over the databases that you write through ScalarDB by using a component called ScalarDB Analytics.