Orchestra

What Orchestra does

Orchestra is a London-based, privately held software company (Orchestra Technologies Limited) that builds a unified control plane for data and AI orchestration, targeting lean data teams at scale-ups and enterprises running on the modern data stack. Founded in 2023, the company raised a £1 million seed round in July 2024 led by Moonfire Ventures with participation from Sequoia's Scout Fund and angels from dbt, Snowflake, and Snowplow. Its platform consolidates orchestration, lineage, data quality monitoring, and AI agent workflows into a single GUI-driven interface, replacing fragmented toolchains built around Airflow, Dagster, Prefect, or dbt Cloud.

The product is code-first and GUI-driven, using declarative YAML configuration for workflow definitions. Core proprietary technology includes the MetaEngine, a metadata framework that aggregates metadata from connected tools into a single control plane, and a state-aware dbt orchestration engine that triggers transformations only when new data arrives or SLAs require execution. The portfolio spans core Data Orchestration, an AI and Model Context Protocol (MCP) module for agentic workflows, end-to-end Lineage, Data Quality/Observability, Iceberg/Lakehouse support, an alerting system, and SSO/RBAC. Orchestra integrates natively with over 100 tools including Snowflake, Databricks, Fivetran, dbt Core, Airbyte, Tableau, Looker, and the three major hyperscalers, and exposes a REST API plus Python SDK for custom workloads.

The revenue model combines a freemium self-serve tier (1 pipeline, 10 tasks, 5 runs per day) with annual subscriptions and custom enterprise contracts. A Scale-up Plan is published at $7,200 per year for 5 licenses, while enterprise pricing is quote-based and governed by Order Forms, often multi-year. Go-to-market is hybrid: digital self-serve acquisition drives bottom-up adoption, supplemented by sales-assisted conversion for larger deployments, frequently involving migration off dbt Cloud using a published Total Cost of Ownership Calculator. The customer base spans logistics, life sciences, sports, manufacturing, legal technology, private equity, and consumer brands, with named logos including Experian, Skyscanner, JUUL, Hellmann Worldwide Logistics, Powell Industries, the San Francisco Giants, and Dawn Capital.

Name

Orchestra

Legal name

Orchestra Technologies Limited

Website

https://getorchestra.io

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

11–50 employees

Short description

Orchestra is a London-based data infrastructure company that provides a unified control plane for data and AI orchestration, serving lean data teams and enterprise scale-ups with over 100 integrations across the modern data stack.

Ownership category

akta.pro rank

Product category

Data Orchestration Platform

NAICS

Computer Systems Design and Related Services (5415), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

IT Workflow Automation & Orchestration Platforms (HDAEALAF)

akta.pro secondary industries

Digital Process Automation (DPA) & Orchestration Suites (HDAEAHAF), Data Center Automation & Orchestration (Infrastructure as Code, Runbooks) (HDABANAD), Hybrid Cloud Platforms & Orchestration (HDABAMAA)

Keywords

• Data orchestration platform
• Data pipeline management
• Data observability
• Dbt orchestration
• AI workflow orchestration

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. SaaS Subscription - Paid Plans: Subscription-based revenue from paid plans that entitle Authorised Users to access and use the Orchestra platform. Paid Subscriptions include support services and are subject to Fair Use Policy limits defined in Order Forms. Pricing varies based on number of pipelines, tasks, users, and pipeline runs.
2. Scale-up Plan Licenses: Annual licensing for scale-up teams at $7,200/year for 5 licenses. This tier is positioned for growing data teams requiring orchestration capabilities beyond the free tier limits.
3. Free Tier: Free subscription tier providing limited access (1 pipeline, 10 tasks, 5 runs per day) for single users in a single data team. Designed to drive adoption and conversion to paid plans.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels9 records

Core offering

Orchestra provides a unified control plane SaaS platform that enables data teams to build, run, and monitor AI and data pipelines through declarative YAML-based configuration combined with a GUI-driven interface. The platform integrates with 100+ tools including Snowflake, Databricks, dbt Core, Fivetran, Airbyte, and major cloud providers (AWS, GCP, Azure), delivering state-aware orchestration, end-to-end lineage, data quality monitoring, alerting, and AI agent integration via the Model Context Protocol (MCP). The fully managed serverless architecture is targeted at lean data teams and enterprise scale-ups looking to consolidate fragmented orchestration, observability, and data quality tooling.

Product overview

Orchestra is a unified control plane platform for data and AI operations, consisting of a core orchestration engine with several integrated modules. The core platform (Orchestra) provides data pipeline orchestration with declarative YAML configuration and GUI management, while supporting 100+ integrations including Snowflake, Databricks, dbt, Fivetran, and major cloud providers. The product portfolio includes Data Orchestration as the primary offering, enhanced by AI and MCP for agentic workflows, Lineage for end-to-end debugging, Data Quality/Observability for monitoring, and Iceberg/Lakehouse support for modern data architectures. Additional capabilities include a Python SDK for custom task execution, a Model Context Protocol server for AI agent integration, state-aware dbt Core orchestration, built-in alerting with multiple channel support, and enterprise features like SSO and RBAC. The MetaEngine proprietary technology enables orchestration of thousands of tasks simultaneously.

Differentiator

Problem solved

Functional benefit

Products and services

• Orchestra Platform Unified control plane for data and AI orchestration enabling enterprises and scale-ups to build, run, and monitor AI and data flows from a single intuitive interface. Supports declarative YAML-based pipeline configuration with a GUI overlay, 100+ pre-built integrations, state-aware dbt Core orchestration, end-to-end lineage, data quality monitoring, proactive alerting across Slack/Teams/Email/PagerDuty/Datadog, and AI agent integration via MCP. Delivered as a fully managed serverless SaaS.

Quantifiable outcome

• Pipeline execution time reduced by ~50% compared to pre-Orchestra solutions
• +5 more outcomes

Named customers11 records

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration84 records

AI capability8 records

Feature5 records

Partnerships

Seven partnerships are on record, tiered core and supporting.

• SnowflakecoreTechnology or IntegrationStrategic technology partnership providing the easiest way to build data and AI on Snowflake. Orchestra is the recommended orchestration platform for Snowflake users, with dedicated product pages and integration optimization.
• DatabrickscoreTechnology or IntegrationTechnology integration partnership positioning Orchestra as the easiest way to build data and AI on Databricks. Dedicated technology page and optimized integration for Databricks users.
• FivetrancoreTechnology or IntegrationIntegration partnership enabling Orchestra users to trigger Fivetran jobs, reduce costs, and improve flexibility. Dedicated technology page showcasing Fivetran orchestration capabilities.
• dbt LabscoreTechnology or IntegrationState-aware orchestration for dbt Core is a flagship feature. Orchestra positions as the ultimate solution for data teams running dbt Core, with dedicated technology page and best-in-class support.
• COALESCEsupportingTechnology or IntegrationIntegration enabling Orchestra to trigger Coalesce as soon as data lands, allowing data teams to automate Coalesce-based transformation workflows.
• Apache IcebergsupportingTechnology or IntegrationDeclarative AI and Data Pipelines on Apache Iceberg. Orchestra supports Iceberg table formats and lakehouse architectures.
• EstuarysupportingTechnology or IntegrationReal-time and batch managed pipelines partnership. Integration enables Orchestra users to leverage Estuary for streaming data pipelines.

Scale indicators2 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Astronomer: Managed Airflow provider offering enterprise orchestration around the open-source project. Competes for the same enterprise data team budgets with a similar PLG-plus-enterprise motion.
• Apache Airflow: Open-source standard for workflow orchestration and Orchestra's primary named alternative. Orchestra positions on ease-of-use and modern-stack integrations versus Airflow's complexity.
• Prefect: Cloud-hosted workflow orchestration platform with Python-first pipeline definitions. Competes head-to-head with Orchestra for data team orchestration budgets, including a free tier and enterprise plan structure.
• dbt Cloud: Managed transformation platform from dbt Labs. Orchestra explicitly targets dbt Cloud customers for cost displacement while serving dbt Core teams with state-aware orchestration.
• Dagster: Data platform for orchestrating data pipelines with a focus on asset-centric orchestration. Directly comparable to Orchestra on data engineering workflow orchestration targeting modern data stack users.

Emerging players

• Kestra: Open-source declarative data orchestration platform with YAML-first pipeline definitions. Highly comparable in approach to Orchestra's declarative YAML configuration and modern data stack positioning.
• Mage.ai: Data pipeline tool for transforming and orchestrating data with a developer-friendly UI. Targets similar lean data team personas as Orchestra's PLG motion.
• Monte Carlo Data: Data observability platform overlapping with Orchestra's lineage and DQ modules. Represents the dedicated competitor in observability that Orchestra's unified platform must out-execute.
• Temporal: Developer-centric durable workflow orchestration platform. While focused on application workflows rather than data pipelines, it represents an adjacent orchestration alternative for technical teams.

Broad incumbents

• AWS Step Functions: Hyperscaler-native workflow orchestration service within the AWS ecosystem. Represents the platform-overlap risk Orchestra faces from cloud vendors bundling orchestration natively.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat6 records

Key risks5 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/orchestra-hq
• YouTubeyoutube.com/@OrchestraDataPlatform
• LinkedInlinkedin.com/company/orchestra-go

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds3 records

Investors7 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Orchestra