ScalarDB Analytics can authenticate and authorize users with resource-level access control. You can create users and grant or revoke permissions on catalogs, data sources, namespaces, and tables. Roles can also be created to group permissions and can be granted to users. This guide describes how to use authentication and authorization in ScalarDB Analytics.
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.
This document explains how to deploy a ScalarDB Analytics server in your local or production environment.
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, Databricks, Azure Synapse Analytics, or Google Cloud Dataproc 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.
To run ScalarDB Enterprise Standard/Premium or ScalarDB Analytics, you must create a .properties file and add your commercial license key and a certificate to the file. In your .properties file, copy one of the following configurations, based on the product you're using, and paste the contents in the .properties file, replacing `` with your license key.
You can use the following trial license keys for ScalarDB Enterprise Standard/Premium and ScalarDB Analytics. If you have a commercial license key, please refer to How to Configure a Commercial License Key to configure your license key.
ScalarDB provides various libraries and tools to help you build and operate scalable and reliable applications. Below are some key libraries and tools available.
To run ScalarDB Enterprise Standard/Premium or ScalarDB Analytics, you need to configure a license key.
Monitoring is essential for maintaining the health and performance of your ScalarDB deployment. This section provides guidance on monitoring ScalarDB in Kubernetes cluster environments, including checking system availability, collecting time-series metrics, and viewing logs through monitoring dashboards.
In this 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
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.
This page provides a list of error codes in ScalarDB Analytics.
In this 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.
The ScalarDB Analytics server measures how much compute your analytical workloads consume and persists this usage data so that it can be used for licensing and billing. This guide explains what ScalarDB Analytics meters and shows you how to configure an object storage backend so that the server can store metering data reliably in production.