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What is Locus?

Locus provides a robust platform for thorough exploration of geospatial information, appealing to a wide range of users from marketers who may find technology daunting to data scientists and analysts engaging in intricate queries, along with executives who are looking for essential metrics to drive future growth. This strategy guarantees a secure and efficient means of connecting various data sources or your data lake to LOCUS, facilitating seamless integration. Furthermore, the Connection Hub includes data lineage governance and transformation functionalities, which improve compatibility with tools like LOCUS Notebook and LOCUS QL. EQ leverages a directed acyclic graph processor that is built on the well-established Apache Airflow framework, aimed at enhancing the efficiency of geospatial workflows. The DAG Builder is designed to effectively organize and refine your geospatial operations with more than twenty built-in assistance stages, establishing it as a flexible asset in the toolkit for data analysis. By providing this sophisticated functionality, Locus not only streamlines data engagement but also equips users with the knowledge necessary to make well-informed choices grounded in detailed insights, ultimately fostering a more data-driven decision-making environment.

What is Google Cloud Managed Service for Apache Airflow?

Managed Service for Apache Airflow is a comprehensive workflow orchestration platform from Google Cloud that enables organizations to build, schedule, and monitor complex data pipelines with ease. Based on the open-source Apache Airflow project, it uses Python-defined DAGs to create flexible and scalable workflows. The fully managed nature of the service removes the burden of infrastructure management, allowing teams to focus on data engineering and automation tasks. It integrates seamlessly with Google Cloud services such as BigQuery, Dataflow, Managed Service for Apache Spark, Cloud Storage, and Pub/Sub, enabling end-to-end pipeline orchestration. The platform supports hybrid and multi-cloud environments, making it ideal for organizations with diverse data ecosystems. It includes advanced features like DAG versioning, scheduler-managed backfills, and improved user interfaces for better workflow management. Built-in monitoring, logging, and visualization tools help ensure reliability and simplify troubleshooting. The service also supports CI/CD pipelines, enabling automated deployment and management of workflows. Its open-source foundation ensures portability and flexibility while avoiding vendor lock-in. Security features such as IAM, VPC Service Controls, and encryption provide strong data protection. The platform is suitable for a wide range of use cases, including ETL pipelines, machine learning workflows, and business intelligence automation. It also enables event-driven and near real-time pipeline execution. Overall, Managed Service for Apache Airflow provides a robust, scalable, and user-friendly solution for orchestrating modern data workflows.

Media

Media

Integrations Supported

APERIO DataWise
Apache Airflow
Dataform
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Datastore
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Cloud Pub/Sub
Google Cloud Storage
IBM watsonx.data integration
Pantomath
Python

Integrations Supported

APERIO DataWise
Apache Airflow
Dataform
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Datastore
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Cloud Pub/Sub
Google Cloud Storage
IBM watsonx.data integration
Pantomath
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.074 per vCPU hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

EQ Works

Date Founded

1994

Company Location

Canada

Company Website

www.eqworks.com/platforms/locus/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

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

Categories and Features

Categories and Features

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