Orchestra
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.
- Company typePrivate
- Founded2023
- HeadquartersLondon, United Kingdom
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
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.
Orchestra firmographics
Firmographics- 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
Orchestra industry classification
Industry- 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
Where Orchestra is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Offices2 records
Markets served
Orchestra business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- 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.
- 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.
- 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
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free Tier - For individual data team evaluation |
| Subscription | Annual | Scale-up Plan - For growing teams |
| Subscription | Multi-year contract | Enterprise / Custom Plans |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels9 records
Orchestra product offering
Product offeringCore 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
Companies that use Orchestra
Customer profileNamed customers11 records
Segments4 records
Ideal customer profiles3 records
Orchestra technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration84 records
AI capability8 records
Feature5 records
Orchestra partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered core and supporting.
- SnowflakecoreStrategic 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 integration partnership positioning Orchestra as the easiest way to build data and AI on Databricks. Dedicated technology page and optimized integration for Databricks users.
- FivetrancoreIntegration partnership enabling Orchestra users to trigger Fivetran jobs, reduce costs, and improve flexibility. Dedicated technology page showcasing Fivetran orchestration capabilities.
- dbt LabscoreState-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.
- COALESCEsupportingIntegration enabling Orchestra to trigger Coalesce as soon as data lands, allowing data teams to automate Coalesce-based transformation workflows.
- Apache IcebergsupportingDeclarative AI and Data Pipelines on Apache Iceberg. Orchestra supports Iceberg table formats and lakehouse architectures.
- EstuarysupportingReal-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
Orchestra competitors and assessment
Company assessmentDirect 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
Orchestra social profiles
Digital presenceOrchestra financial estimates
Financial estimateRevenue estimate
Valuation estimate
Orchestra leadership team
Management profileNumber of profiles
Profiles3 records
Orchestra funding detail
Funding detailFunding overview
Funding rounds3 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Orchestra M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Orchestra
What does Orchestra do?
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.
Is Orchestra a public or private company?
Orchestra is a private company. It is classified as venture growth investor backed and is currently operating.
When was Orchestra founded?
Orchestra was founded in 2023. It employs 11 to 50 people.
Where is Orchestra based?
Orchestra is headquartered in London, United Kingdom, in the Europe region.
How does Orchestra make money?
Three revenue lines are on record. SaaS Subscription - Paid Plans are the primary driver. The others are scale-up Plan Licenses and free Tier.
Who are Orchestra's main competitors?
Direct peers on record are Astronomer, Apache Airflow, Prefect, dbt Cloud and Dagster. Emerging players are Kestra, Mage.ai, Monte Carlo Data and Temporal. AWS Step Functions is listed as a broad incumbent.
Does Orchestra have an API?
Yes. Orchestra provides a REST API for programmatic access to orchestrate pipelines, manage tasks, and integrate with external systems. The API is documented at https://docs.getorchestra.io/docs/api/introduction. Additionally, Orchestra offers an MCP (Model Context Protocol) server integration for AI agents, documented at https://docs.getorchestra.io/docs/mcp. Developer documentation is at docs.getorchestra.io/docs/api/introduction.
What industry is Orchestra in?
Orchestra's product category is Data Orchestration Platform. Its primary akta.pro industry code is HDAEALAF, IT Workflow Automation & Orchestration Platforms, with a secondary code of HDAEAHAF, Digital Process Automation (DPA) & Orchestration Suites. Its NAICS code is 5415 and its SIC code is 7372.