Overview
Gathr is a comprehensive ETL platform designed to meet all your data integration and engineering needs. It is a self-service, enterprise-grade platform that offers end-to-end functionality for ETL, ELT, ingestion, CDC, and streaming analytics. Regardless of your industry, data formats, or use cases, Gathr has been built from the ground up to provide a user-friendly and efficient experience.
User-Friendly Interface and Low-Code Platform:
One of the standout features of Gathr is its user-friendly interface, which empowers users to build and operationalize data applications with ease. The platform offers a low-code solution that enables users to create ETL and ELT pipelines using Gathr's intuitive drag-and-drop interface. Additionally, the platform provides wizard-based built-in apps for data ingestion and CDC, ensuring that users can extract, transform and load data from various sources quickly.
Data 360 - Comprehensive DataOps Capabilities:
Gathr provides comprehensive DataOps capabilities that allow users to manage the entire data lifecycle from raw source to analytics-ready data lakes and warehouses. Data 360 provides users with built-in features like auto-schema detection, data quality checks, lineage, data validation, along with the ability to extract, transform, and load data from multiple sources easily. With Gathr, users can achieve comprehensive data management and oversight, ensuring the integrity and accuracy of their data.
Unlimited Scalability and Distributed Execution Framework:
Gathr's distributed execution framework enables unlimited linear scalability, providing users with a solution that can grow with their data processing requirements. As your organization's data needs increase, Gathr can scale with you, ensuring that you can handle large volumes of data without sacrificing performance or efficiency.
In-Flight Analytical Capabilities with Advanced Machine Learning and AI:
Gathr's in-flight analytical capabilities enable users to enrich their data with advanced machine learning and AI algorithms. Users can plug in models built in multiple technologies like SparkML, Python and H2O in the incoming stream of data to improve the sanity as well has enhance the overall quality of the records. Gathr's analytical capabilities enable organizations to unlock the full potential of their data, making it an ideal solution for businesses of all sizes and industries.
Highlights
- 10x faster than traditional ETL tools with a distributed execution engine for running pipeline jobs.
- Up to 80% reduction in the time and resources required to manage your data integration process
- Unlimited scale to easily process large amounts of data as your business needs grow without sacrificing performance.
Details
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Pricing
Dimension | Cost/unit |
|---|---|
$0.25 per unit, using Gathr's compute engine for processing | $0.25 |
$0.30 per unit, using Gathr's compute engine for processing | $0.30 |
$0.30 per unit, using compute within your AWS account | $0.30 |
$250 connector/month | $250.00 |
$8.33 connector/day | $8.33 |
$240 connector/month | $240.00 |
$8 connector/day | $8.00 |
Vendor refund policy
We do not currently support refunds, but you can cancel your subscription any time.
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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