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(v23) Introduction to Composer 23

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Introduction to Composer 23

Designed specifically for software teams, Composer delivers the first out-of-the-box development experience for embedded analytics. Choose Composer for:

  • Its effortless authoring paradigm empowers developers to easily create, customize and embed data visualizations with complete control over the end user experience.

  • The self-service embedded with a visualization can be tailored and configured to match the skill level of your end users, while enabling them to modify and share their own visualizations.

  • Its internal query engine (z-Engine) and smart data connectors unlock unmatched modern data connectivity and query performance while also working with your existing tech stack.

  • Its cloud-ready microservices architecture provides you with elastic scale so that your CFO loves you and your DevOps team respects you.

Important:  We have changed Composer to a quarterly release schedule, and adopted a new version numbering system. Composer v8 is now Composer 22.4. Composer version names for Composer 7 and earlier remain unchanged. See Composer Release Vehicles.
Important: Composer v7, a passive support release, is supported with service packs that address only critical patches and security updates. Composer v7 is in passive support as of September 1, 2023. Security updates are not applicable to third-party dependencies. Changes to existing functionality, bug fixes, and workarounds are described in the Release Notes. End of life for Composer v7 is September 1, 2024. See Composer Release Vehicles.
Important: Older license keys are not compatible with Composer 6.9 and higher. If you are upgrading from any older Composer or Zoomdata release, see Request and Apply a New License Key.

If you are already familiar with Composer and want to read up on the latest updates, see: Composer 23 Release Notes Overview. For information about hardware and software requirements for Composer, see System Requirements.

For information about the Postgres metadata repository that Composer uses to store definitions and settings, see Metadata Repository.

When you are ready to get started with Composer, see Get Started With Composer 23.

For information about the job skills necessary to use Composer, see Composer Personas.

Effortless Authoring

Composer's effortless authoring allows your developers to avoid heavy data modeling using a data authoring workflow that streamlines data connectivity, preparation and enrichment. You can rapidly build embedded analytics content with an easy-to-use visual authoring workflow and create a persistent look and feel by seamlessly embedding analytics into your application with custom themes and extensibility that goes beyond just colors and styling.

You can build visuals once and reuse them to populate multiple dashboards, eliminating the need to recreate them over and over again. Finally, you can enjoy the ultimate end user control that a complete embedded analytics development environment provides to develop and manage content directly in your existing application’s workflow.

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Embedded Self-Service

Using Composer's embedded self-service, your end users will enjoy the freedom to securely collaborate and share content on-demand or with automated scheduled delivery.

While other products take a one-size-fits-all approach, we empower your application teams to embed and customize end user self-service with embedded visualizations. Granular controls allow you to define levels of end user self-service and dashboard interactivity at the feature level. Precise controls over end user data access and governance ensure a secure discovery experience. You can provide end users with the freedom to visually author analytic content and perform ad hoc analysis all within your application.

In addition, Data DVR enables your end users to explore and interact with embedded content, including play, rewind, pause and fast forward of raw data and charts.

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Query Engine and Smart Data Connectors

Respecting the uniqueness of data stores, the internal query engine (also called z-Engine) and smart data connectors allow you to explore SaaS scale data sets with speed and scale including relational, NoSQL, multisource and other non-traditional data stores.

The query engine analyzes and optimizes queries and pushes processing down to the data store to enable the processing of thousands of concurrent user requests. Its data fusion technology empowers multisource analysis that allows end users to easily interact with visualizations from multiple data sources by virtually combining them so they appear to be from a single source.

Our broad set of smart data connectors for modern data stores such as search engines, streaming, and cloud data warehouses let you access all your data without the need to move or prepare the data in advance. Composer uses your existing data infrastructure and security framework, eliminating the need for redundant technology investments and on-going maintenance efforts by your team.

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Microservices Architecture

Composer's microservice architecture is comprised of code that is adaptable and extensible. It runs on a wide variety of modern data platforms and architectures. It allows data store connectivity to run independently from the query engine and it allows you to build, deploy, and automate at cloud speed.

The horizontal scale provided with distributed microservices helps you avoid single points of failure and assures high availability with no proprietary hardware required. This elastic scale lets you optimize computer resources and avoid waste by scaling up and down resources such as CPU process power and RAM when and where you need it.

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