AWS Glue and Rivery are competing platforms in the data integration and ETL space. Rivery seems to outperform in user satisfaction, especially in terms of usability and scalability.
Features: AWS Glue provides automated ETL tasks, a serverless architecture, and seamless integration with other AWS services, enhancing data processing capabilities. Rivery offers intuitive data pipelines, pre-built data connectors, and real-time data processing, suitable for rapid deployment and agile operations. The difference lies in Glue's focus on automation versus Rivery's emphasis on ease of use and flexibility.
Ease of Deployment and Customer Service:AWS Glue requires deep integration within the AWS ecosystem, which can be complex for those not fully engaged with AWS infrastructure. Rivery promotes easier deployment with simplified data workflows and robust support, favoring businesses seeking quick implementation without exhaustive technical overhead. Customer support is more praised in Rivery, reflecting a more responsive service experience.
Pricing and ROI: AWS Glue offers cost efficiency as part of the AWS pay-as-you-go model, encouraging scalable cost management. However, Rivery's pricing is often viewed as more transparent, providing clear ROI through comprehensive plans that align with diverse business scales. Despite Glue's pricing flexibility, Rivery is seen as delivering high value, perceived as worth the setup costs by facilitating higher operational efficiency.
| Product | Market Share (%) |
|---|---|
| AWS Glue | 14.4% |
| Rivery | 0.9% |
| Other | 84.7% |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 6 |
| Large Enterprise | 32 |
AWS Glue is a serverless cloud data integration tool that facilitates the discovery, preparation, movement, and integration of data from multiple sources for machine learning (ML), analytics, and application development. The solution includes additional productivity and data ops tooling for running jobs, implementing business workflows, and authoring.
AWS Glue allows users to connect to more than 70 diverse data sources and manage data in a centralized data catalog. The solution facilitates visual creation, running, and monitoring of extract, transform, and load (ETL) pipelines to load data into users' data lakes. This Amazon product seamlessly integrates with other native applications of the brand and allows users to search and query cataloged data using Amazon EMR, Amazon Athena, and Amazon Redshift Spectrum.
The solution also utilizes application programming interface (API) operations to transform users' data, create runtime logs, store job logic, and create notifications for monitoring job runs. The console of AWS Glue connects all of these services into a managed application, facilitating the monitoring and operational processes. The solution also performs provisioning and management of the resources required to run users' workloads in order to minimize manual work time for organizations.
AWS Glue Features
AWS Glue groups its features into four categories - discover, prepare, integrate, and transform. Within those groups are the following features:
AWS Glue Benefits
AWS Glue offers a wide range of benefits for its users. These benefits include:
Reviews from Real Users
Mustapha A., a cloud data engineer at Jems Groupe, likes AWS Glue because it is a product that is great for serverless data transformations.
Liana I., CEO at Quark Technologies SRL, describes AWS Glue as a highly scalable, reliable, and beneficial pay-as-you-go pricing model.
Rivery is a serverless, SaaS DataOps platform that empowers companies of all sizes around the world to consolidate, orchestrate, and manage internal and external data sources with ease and efficiency.
By offering comprehensive data solutions and partnering with complementary technology providers, including Google, Snowflake, Tableau, and Looker, Rivery enables data-driven companies to build the perfect ecosystems for all their data processes.
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