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features
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support

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Description

Gather all your unstructured data to meet your LLM requirements effectively. Datavolo transforms single-use, point-to-point coding into rapid, adaptable, reusable pipelines, allowing you to concentrate on what truly matters—producing exceptional results. As a dataflow infrastructure, Datavolo provides you with a significant competitive advantage. Enjoy swift, unrestricted access to all your data, including the unstructured files essential for LLMs, thereby enhancing your generative AI capabilities. Experience pipelines that expand alongside you, set up in minutes instead of days, without the need for custom coding. You can easily configure sources and destinations at any time, while trust in your data is ensured, as lineage is incorporated into each pipeline. Move beyond single-use pipelines and costly configurations. Leverage your unstructured data to drive AI innovation with Datavolo, which is supported by Apache NiFi and specifically designed for handling unstructured data. With a lifetime of experience, our founders are dedicated to helping organizations maximize their data's potential. This commitment not only empowers businesses but also fosters a culture of data-driven decision-making.

Description

Managed Service for Apache Airflow is a cloud-based workflow orchestration service that simplifies the creation and management of complex data pipelines. Built on the open-source Apache Airflow framework, it allows users to define workflows using Python-based DAGs. The platform is fully managed, removing the need to provision or maintain infrastructure, which helps teams focus on pipeline development and execution. It integrates with a wide range of Google Cloud services, including BigQuery, Dataflow, Cloud Storage, and Managed Service for Apache Spark. The service supports hybrid and multi-cloud environments, enabling organizations to orchestrate workflows across different platforms. It offers advanced monitoring and troubleshooting tools, including visual workflow representations and logs. New features such as DAG versioning and improved scheduling enhance reliability and control. The platform also supports CI/CD pipelines and DevOps automation use cases. Its open-source foundation ensures flexibility and avoids vendor lock-in. Overall, it provides a powerful and scalable solution for managing data workflows and automation processes.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

APERIO DataWise No 
Apache Airflow No 
Apache NiFi Yes 
Control-M No 
Databricks Yes 
Dataform No 
Google Cloud AI Infrastructure No 
Google Cloud Dataflow No 
Google Cloud Datastore No 
Google Cloud Managed Service for Apache Spark No 
Google Cloud Platform No 
Google Cloud Pub/Sub No 
Google Cloud Storage No 
IBM watsonx.data integration No 
Pantomath No 
Pinecone Yes 
Pinecone Rerank v0 Yes 
Python No 
Snowflake Yes 
Vectara Yes 

Integrations

APERIO DataWise Yes 
Apache Airflow Yes 
Apache NiFi No 
Control-M Yes 
Databricks No 
Dataform Yes 
Google Cloud AI Infrastructure Yes 
Google Cloud Dataflow Yes 
Google Cloud Datastore Yes 
Google Cloud Managed Service for Apache Spark Yes 
Google Cloud Platform Yes 
Google Cloud Pub/Sub Yes 
Google Cloud Storage Yes 
IBM watsonx.data integration Yes 
Pantomath Yes 
Pinecone No 
Pinecone Rerank v0 No 
Python Yes 
Snowflake No 
Vectara No 

Pricing Details

$36,000 per year
Free Trial No 
Free Version No 

Pricing Details

$0.074 per vCPU hour
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Datavolo

Founded

2023

Country

United States

Website

datavolo.io

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/products/managed-service-for-apache-airflow

Product Features

Product Features

Alternatives

Alternatives

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Amazon MWAA

Amazon
Apache Airflow Reviews

Apache Airflow

The Apache Software Foundation