• Developer guide
  • API reference

›Getting started

Getting started

  • Introduction to Imply Polaris
  • Quickstart
  • Navigate the console
  • Key concepts

Ingestion sources

  • Ingestion sources overview
  • Supported data formats
  • Create a connection
  • Ingest from files
  • Ingest from S3
  • Ingest from Kinesis
  • Ingest from Confluent Cloud
  • Kafka Connector for Imply Polaris
  • Push event data

Tables and data

  • Overview
  • Introduction to tables
  • Table schema
  • Create an ingestion job
  • Timestamp expressions
  • Data partitioning
  • Introduction to rollup
  • Approximation algorithms
  • Replace data

Analytics

  • Overview
  • Manage data cubes
  • Visualize data
  • Data cube dimensions
  • Data cube measures
  • Dashboards
  • Create a dashboard
  • Visualizations reference
  • Set up alerts
  • Set up reports
  • Embed visualizations
  • Query data

Monitoring

  • Overview

Management

  • Overview
  • Pause and resume a project

Billing

  • Overview
  • Polaris plans
  • Estimate project costs

Usage

  • Overview

Security

    Polaris access

    • Overview
    • Invite users to your organization
    • Permissions reference
    • Manage user groups
    • Enable SSO
    • SSO settings reference
    • Map IdP groups

    Secure networking

    • Connect to AWS

Developer guide

  • Overview
  • Authentication

    • Overview
    • Authenticate with API keys
    • Authenticate with OAuth
  • Manage users and groups
  • Migrate deprecated resources
  • Create a table
  • Define a schema
  • Upload files
  • Create an ingestion job
  • Ingestion sources

    • Ingest from files
    • Ingest from a table
    • Get ARN for AWS access
    • Ingest from Amazon S3
    • Ingest from Amazon Kinesis
    • Ingest from Confluent Cloud
    • Push event data
    • Kafka Connector for Imply Polaris
    • Kafka Connector reference
  • Filter data to ingest
  • Ingest nested data
  • Ingest and query sketches
  • Query data
  • Update a project
  • Link to BI tools
  • Connect over JDBC
  • Query parameters reference
  • API documentation

    • OpenAPI reference
    • Query API

Product info

  • Release notes
  • Known limitations
  • Druid extensions

Introduction to Imply Polaris

Tables and data

Tables and data

Learn how to build tables and load data in Polaris.

Overview
Quickstart
Table schema
Visualization

Visualization

Discover how to create interactive visualizations to explore your data.

Overview
Data cubes
Dashboards
User management

User management

Learn how to add users and set their permissions.

Overview
Add users
Manage user groups
API access

API access

Use the Polaris API to manage and query your data programmatically.

Overview
Authenticate API requests
API reference

Introduction to Imply Polaris

Imply Polaris is the easiest real-time database for modern analytics applications, built from Apache Druid and delivered as a fully managed database as a service (DBaaS).

Polaris is much more than Druid in the cloud. It drives automation and intelligence that delivers the performance of Druid without needing expertise. It also provides a complete, integrated experience that simplifies everything from ingesting data to using visualizations to extracting valuable insights from your data.

To get started:

  • Sign up for a free trial with Polaris
  • Check out the quickstart

Watch the following video tutorial for an introduction to Polaris:

Benefits of Polaris

Start building analytics applications in as little as five minutes. Reap all the benefits of Apache Druid’s best-in-class speed, scale, and agility on a fully managed cloud database as a service designed by the open source project’s original creators.

Key benefits of Polaris include:

  • Fully managed cloud service: Build modern analytics applications without worrying about the underlying infrastructure. Take advantage of automated setup, backups, disaster recovery, security, upgrades, and ongoing management to deliver an always-on service.
  • Single development experience: Develop your analytics applications using the fully integrated experience that includes:
    • Built-in, push-based streaming built on Confluent Cloud
    • Integrated visualization engine
    • SQL IDE
    • Performance metrics and usage monitoring
  • Database optimization: Benefit from Druid's incomparable performance without turning knobs. Polaris automates configurations and tuning parameters. It also includes built-in performance monitoring to ensure maximum performance for every query from your app.
  • Scale in seconds: Data ingestion scales elastically. Polaris decouples ingestion resources from querying resources, and ingestion resources scale up and down automatically as required. You only pay for the ingestion resources you use, based on the volume of data you ingest.
  • Resilient and secure: Your Polaris data is always replicated and backed up to Amazon S3. In addition to SOC 2 Type 1 and HIPAA compliance, Imply Polaris automatically encrypts all data and offers role-based access control.
Quickstart →
Key links
Try ImplyApache Druid siteImply GitHub
Get help
Stack OverflowSupportContact us
Learn more
BlogApache Druid docs
Copyright © 2023 Imply Data, Inc