Enterprise Tech / Data Management

Best Data Workflow Orchestration Companies

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What is Data Workflow Orchestration?

The data workflow orchestration market enables the coordination of data pipelines, data transformations, and the scheduling of tasks. This allows data to be moved and analyzed across different systems in a timely and accurate manner. Solutions in this market often incorporate features like visual design interfaces, job scheduling, error handling, and monitoring capabilities to simplify the management of data workflows.

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Top Data Workflow Orchestration Companies

Astronomer logo
Astronomer

United States / Founded Year: 2015

Astronomer specializes in data operations and is involved in the data operations (DataOps) platform industry, focusing on Apache Airflow. The company provides a managed service for Apache Airflow, allowing users to build, run, and observe data pipelines. Astronomer's platform includes features for data pipeline health monitoring, lineage tracking, and supports various data-related workflows such as ETL/ELT, machine learning, and analytics. It was founded in 2015 and is based in New York, New York.

Known Customers

Amazon Web Services, Autodesk, Major League Baseball, and 2 more

Key People

Timothy Brunk, Pete DeJoy, Julian LaNeve, and 2 more

Informatica logo
Informatica

United States / Founded Year: 0000

Informatica operates in the field of enterprise artificial intelligence (AI) powered cloud data management within the technology sector. The company provides a platform for data integration, governance, quality, and privacy, allowing organizations to manage and unify data across multi-cloud and hybrid environments. Informatica's solutions are utilized in sectors such as financial services, healthcare, and retail. It was founded in 1993 and is based in Redwood City, California.

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Known Customers

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Snowflake logo
Snowflake

United States / Founded Year: 0000

Snowflake is a technology company that provides a platform for cloud-based data management and analytics. It enables organizations to store, manage, and analyze large amounts of data across multiple public clouds, supporting tasks such as warehousing, lakes, engineering, science, application development, and sharing. The company's services are utilized by various sectors that require data analytics and management. Snowflake was formerly known as Snowflake Computing. It was founded in 2012 and is based in Bozeman, Montana.

Known Partners

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Known Customers

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Google Cloud logo
Google Cloud

United States / Founded Year: 0000

Google Cloud operates as a cloud computing service provider offering various solutions, including artificial intelligence (AI) and machine learning, data analytics, and managed databases. The company provides a platform for businesses to leverage AI and machine learning, manage data with analytics, and modernize infrastructure. Google Cloud's services cater to different industries, offering tools for application programming interface (API) management and serverless computing. It was founded in 2008 and is based in Mountain View, California.

Known Partners

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Known Customers

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Key People

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Prophecy logo
Prophecy

United States / Founded Year: 0000

Prophecy specializes in data transformation and analytics acceleration, operating within the data engineering and cloud computing industries. The company offers a low-code platform that facilitates the development, deployment, and observation of data pipelines, leveraging AI for productivity for data users. Prophecy's solutions cater to various roles including data engineers, business data teams, and data platform leaders, aiming to streamline the data pipeline lifecycle. It was founded in 2017 and is based in Palo Alto, California.

Known Partners

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Known Customers

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Key People

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All Companies in Data Workflow Orchestration

ClearML logo
ClearML

Israel / Founded Year: 0000

ClearML specializes in accelerating the adoption and development lifecycle of generative artificial intelligence (AI), machine learning operations (MLOps), and Large Language Model Operations (LLMOps) within the technology sector. The company offers a comprehensive suite of tools for building, training, and deploying AI and LLM models efficiently, with a focus on optimizing AI infrastructure and streamlining development processes. ClearML's solutions cater to a diverse range of sectors, including enterprises, academia, public agencies, and startups, providing them with the necessary tools to enhance their AI capabilities. It was founded in 2016 and is based in Tel Aviv, Israel.

Known Partners

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Key People

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Dagster Labs logo
Dagster Labs

United States / Founded Year: 0000

Dagster Labs focuses on data orchestration and provides enterprise data platform solutions within the technology sector. It offers an open-source project, Dagster, and an enterprise solution, Dagster+, designed to help organizations build productive and scalable data platforms. It primarily serves organizations looking to enhance their data infrastructure and operations. It was formerly known as Elementl. It was founded in 2018 and is based in San Francisco, California.

Known Partners

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Key People

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Kestra Technologies logo
Kestra Technologies

France / Founded Year: 0000

Kestra Technologies offers an orchestration and scheduling platform. It allows users to orchestrate and automate the data, workflows, and batches. The platform handles all components of the data pipeline process, such as transporting, loading, transforming, data modeling, and data monitoring. Kestra Technologies was founded in 2022 and is based in La Madeleine, France.

Known Partners

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Key People

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n8n logo
n8n

Germany / Founded Year: 0000

n8n serves as a workflow automation platform that integrates artificial intelligence (AI) capabilities with business process automation in the technology sector. The platform includes a visual builder for creating workflows, the ability to integrate with various applications or application program interfaces (APIs), and allows coding in Javascript and Python for specific tasks. n8n is used by technical teams in sectors like information technology (IT) operations, security operations, and sales automation. It was founded in 2019 and is based in Berlin, Germany.

Known Partners

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Key People

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Pipekit logo
Pipekit

United States / Founded Year: 0000

Pipekit is a data infrastructure company that specializes in scaling solutions for data science, AI, and ML. The company offers managed Argo Workflows as a control plane to simplify the management of data pipelines on Kubernetes, providing production-ready workflows for data processing and machine learning. Pipekit primarily serves organizations looking to optimize their data operations and reduce cloud expenses. It was founded in 2019 and is based in Atlanta, Georgia.

Known Partners

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Key People

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Prefect Technologies logo
Prefect Technologies

United States / Founded Year: 0000

Prefect Technologies specializes in workflow orchestration for the data engineering and machine learning sectors. The company provides tools for building, managing, and observing data pipelines, with features that allow for easy development, deployment, and error recovery. Its product Marvin is an AI toolkit for building natural language interfaces. Prefect's solutions are designed to simplify the orchestration process for engineers who have experience with such systems. It was founded in 2018 and is based in Washington, District of Columbia.

Known Partners

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Key People

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Seqera logo
Seqera

Spain / Founded Year: 0000

Seqera provides open-source workflow orchestration software for data pipeline processing, cloud infrastructure, and secure collaboration. The company's products include Nextflow, Wave Containers, Tower Enterprise, and Tower Cloud. It was founded in 2018 and is based in Barcelona, Spain.

Known Partners

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Known Customers

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Our Methodology

The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.

What is Data Workflow Orchestration?

The data workflow orchestration market enables the coordination of data pipelines, data transformations, and the scheduling of tasks. This allows data to be moved and analyzed across different systems in a timely and accurate manner. Solutions in this market often incorporate features like visual design interfaces, job scheduling, error handling, and monitoring capabilities to simplify the management of data workflows.

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Market Map

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Do you compete within Data Workflow Orchestration?

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