Product Overview of Rivery
Rivery is a comprehensive, cloud-based ELT (Extract, Load, Transform) and workflow orchestration platform designed to simplify and streamline data integration and management for modern teams. Here’s a detailed look at what Rivery does and its key features:
What Rivery Does
Rivery provides a unified, easy-to-use data solution that automates data ingestion, transformation, and orchestration. It is built on a DataOps framework, allowing teams to focus on their business objectives rather than managing complex data processes. The platform supports a wide range of data sources and targets, including over 200 fully managed data sources and all major data warehouses.
Key Features and Functionality
Data Ingestion
Rivery enables easy data extraction from various apps, databases, and other sources. It supports managed API and CDC (Change Data Capture) replication, allowing users to load data into their data lakes or cloud data warehouses with just a few clicks.
Data Transformation
Users can transform raw data into business-ready data models using SQL or Python. Rivery offers advanced transformation workflows and pre-built data model kits, which simplify the process of creating and replicating data models.
Workflow Orchestration
The platform provides robust workflow orchestration capabilities, allowing users to control data flow from start to finish. This includes managing dependencies between and within pipelines using conditional logic, containers, loops, and advanced scheduling.
Reverse ETL
Rivery supports reverse ETL, enabling users to push data from their data warehouses back into operational systems, such as CRMs, or trigger actions in other services like Slack or Tableau.
Scalability and Management
Rivery’s cloud-native architecture ensures seamless, scalable, and secure data flow. It features auto-scaling clusters, dedicated pods for task execution, and robust security measures including encryption for data at rest and in transit, and secure connections via Private Link, VPNs, SSH Tunnels, and Reverse SSH.
Agile Development and Deployment
The platform supports agile development and deployment practices with full version control, multiple user environments, and deployment scripts for dev, staging, and production. This ensures efficient and controlled deployment of data pipelines across different environments.
Starter Kits and Pre-built Connectors
Rivery offers pre-built starter kits for common use cases, which include all the necessary pipelines, transformation logic, SQL, and scripts. Additionally, it provides over a hundred automated data connectors for various data sources, including standard SFTP connections and niche connections for tools like Marketo or Zendesk. Custom REST API connections are also supported.
Integration and Automation
Users can integrate with any data source using REST Actions and Multi-Actions, which simplify interactions with web services and automate complex processes. This includes handling authentication, managing parameters, and automating table structure mapping.
Pricing and Plans
Rivery’s pricing is predictable and value-based, charged according to usage rather than the number of rows or compute hours. Plans include unlimited users, data sources, destinations, transformations, and full workflow orchestration features, making it a flexible and scalable solution for growing businesses.
Additional Benefits
- Accelerated Data Delivery: Build advanced data pipelines in minutes and deploy end-to-end data solutions quickly.
- Simplified Stack: Consolidate multiple tools into a single, complete SaaS platform, reducing overhead and data silo costs.
- Cost Efficiency: Achieve a significant reduction in data-related costs and time spent on data processing.
- Award-winning Support: Rivery is known for its top-rated support, ensuring users can trust the data and the platform.
In summary, Rivery is a powerful and user-friendly ELT and workflow orchestration platform that streamlines data integration, transformation, and management, making it an ideal solution for data teams looking to accelerate their data delivery and simplify their data stack.