Gathr

Formerly StreamAnalytix

Gathr is a cloud-native, zero-code platform that aims to help businesses transform raw data into actionable outcomes. According to the vendor, it provides a unified experience for building machine learning (ML)-powered "data to outcome" applications, allowing users to collect, transform, analyze, and gain insights from their data. Gathr is positioned as a solution suitable for businesses of all sizes, from startups to Fortune 500 enterprises. It is said to be used by professionals across various industries, including data scientists, analysts, engineers, IT professionals, business analysts, finance professionals, marketing professionals, HR professionals, and operations professionals, as well as businesses in healthcare, financial services, retail, technology, and manufacturing industries.

Key Features

Data Integration: Gathr offers a unified platform for various data integration use cases, such as ETL, ELT, batch, and real-time processing. According to the vendor, it provides drag-and-drop capabilities for data ingestion from multiple sources, supports both batch and streaming data processing, and facilitates collaboration among teams working on data integration tasks.

Machine Learning: Gathr allows users to build, deploy, and manage ML models at scale. The vendor claims that it provides a no-code platform for developing ML-powered applications and offers a wide range of built-in ML algorithms and models. Users are said to be able to apply ML models at different stages of the data journey, from data collection to insights and predictions.

Actionable Insights: Gathr utilizes machine learning techniques to clean, enrich, and analyze large-scale streaming data in real-time. According to the vendor, it provides near real-time actionable insights to support data-driven decision-making. Gathr also offers interactive visualizations and analytics for exploring and understanding data. The vendor claims that its drag-and-drop ML capabilities and full-scale automation can save time in data preparation processes.

Process Automation: Gathr enables users to automate data-related processes using a no-code approach. According to the vendor, users can build automated workflows and pipelines for data integration, transformation, and analysis. Gathr provides automation capabilities for various areas, including DevOps, DataOps, MLOps, and FinOps, aiming to streamline and optimize business processes through automation.

FinOps: Gathr helps businesses optimize cloud costs through multi-cloud cost monitoring and optimization. The vendor states that it offers ML-powered cost forecasts, anomaly detection, and optimization recommendations. Gathr supports the implementation of FinOps across AWS, Azure, GCP, Kubernetes, and Oracle clouds, providing automated actions to enforce best practices and address budget violations and anomalies.

DevOps: Gathr enhances visibility and control in DevOps processes. According to the vendor, it offers quick integration with tools, industry-standard metrics, and alerts. Gathr provides monitoring and traceability features for CI/CD pipelines, vulnerability analysis, and release control, aiming to streamline DevOps processes and provide unified visibility into code repositories, build duration, code quality trends, and more.

Continuous Compliance: Gathr helps track changes, issues, and vulnerabilities to ensure compliance with best practices and policies. The vendor claims that it offers governance features to improve tag compliance and implement chargeback/showback. Users are said to be able to achieve continuous DevOps improvements by implementing DORA metrics. Gathr also provides security features and logs for user management and administration, aiming to prevent unauthorized access.

Cloud Cost Optimization: Gathr provides multi-cloud cost monitoring and optimization to improve return on investment. According to the vendor, it helps detect anomalies and wastage, offering automated actions and ML-powered recommendations. Gathr supports the optimization of cloud costs through minor configuration changes and better utilization of reserved instances, savings plans, and committed use discounts. The vendor states that it offers end-to-end visibility and control over cloud resources for effective cost management.

Kubernetes Cost Monitoring: Gathr aims to improve Kubernetes cluster security and utilization across multi-cloud environments. The vendor claims that it provides continuous monitoring and optimization for Kubernetes clusters, helping businesses optimize costs and improve resource utilization in Kubernetes deployments.

Data Preparation: Gathr allows users to ensure clean, accurate, and analytics-ready data. According to the vendor, it leverages drag-and-drop ML capabilities for data preparation tasks and offers full-scale automation to save time. Gathr aims to help users ensure data quality and reliability for better insights and predictions.