Rivery Expands Snowflake, AWS Integration Links To Meet AI Data Demands

With analytical and AI applications spurring demand for more data, Rivery is making its easier for businesses to harness data through the Snowflake data cloud and Amazon Q AI assistant.

Data integration tech provider Rivery is expanding its links to key Amazon Web Serices and Snowflake data sources in a move to help enterprises better harness their own data for analytical and GenAI applications.

Rivery’s move, announced Tuesday, comes as businesses and organizations rapidly expand their use of AI and GenAI technology and look for ways to connect those AI systems with their own data.

The news also follows Rivery’s on-going efforts to grow its partner ecosystem of resellers, systems integrators and consultants.

“We know that even though we are leveraging partners today, we know that without a proactive strategy to build up this partner program, bring new partners on board, that we're not going to be all that we can be,” said Scott Hanrahan, Rivery vice president of global sales and partners, in a recent interview with CRN.

Rivery was founded in 2019 when it was spun out of data consulting firm Keyrus. The company develops a SaaS-based data ELT (extract, load and transform) and data integration platform for building connections or “pipelines” between data sources and data warehouses.

Today the company, with U.S. headquarters in New York, offers more than 200 native connectors along with fully managed data replication services.

Connecting increasingly distributed data sources has become one of the biggest challenges for companies trying to leverage their data assets for analytical and AI applications. The crowded data integration industry includes more established players such as Fivetran, Informatica, Matillion and Qlik (which acquired Talend last year) and startups such as Airbyte, dbt Labs and Rivery.

Hanrahan said that with its products Rivery is balancing breadth of functionality with ease-of-use and affordability against its competitors.

Data Integration Market Drivers

Many Rivery customers today are either setting up their first “data stack” system to replace manual data processes or rebuilding legacy data stacks to reduce costs, Hanrahan (pictured) told CRN.

While AI is not a major sales driver yet, the executive expects that to change as businesses look to leverage their data assets for AI and GenAI applications. “We believe we're well positioned for when that day comes,” he said.

Rivery, meanwhile, has been adding AI services and functionality into its own offerings. In June the company launched Rivery Blueprint, a framework for more quickly building data pipelines for GenAI-powered applications. It also debuted an AI-driven copilot to assist in data integration tasks. (Both products have been in private preview.)

Today about 30 percent of Rivery’s revenue is generated through partners, according to Hanrahan. The company is scaling up its partner program, including hiring. A new partner manager in EMEA and, more recently, someone to manage the company’s relationships with systems integrators in the U.S.

The company’s offerings are also available through the online marketplaces of all three major cloud providers, although Hanrahan says the relationship with AWS is the deepest given that Rivery is developed on the AWS platform.

Hanrahan’s goals for 2025 including recruiting more partners in North America and the U.K., including data and analytics consultants and service providers, as well as a few larger systems integrators. He’s also looking for partners with expertise in certain data-intensive verticals including SMB financial services, media and entertainment, retail, and advertising and marketing technology.

Details On New Snowflake, Amazon Q Integrations

Today’s Rivery announcement specifically includes new integrations with the Amazon Q generative AI assistant from AWS and integration with the Snowflake cloud data platform as a data source.

"With the launch of these integrations, Rivery continues to enable seamless data management across platforms, empowering organizations to deploy powerful AI applications with fewer hallucinations and derive actionable insights," said Rivery CEO Itamar Ben Hemo in a statement.

"With Snowflake as a Source and Amazon Q integration, we're enabling our users to unlock the full potential of their data — from streamlining migrations to building data-driven, GenAI solutions that meet today’s business needs with flexibility and security,” he said.

Rivery’s integration with Amazon Q leverages the GenAI assistant’s Retrieval Augmented Generation (RAG) workflows, allowing companies to create personalized GenAI chat assistants based on the full range of data available within an enterprise. That makes it possible to set up enterprise-specific GenAI chatbots that can securely answer questions, provide summaries, and generate content with fewer hallucinations, according to Rivery.

The new linkage synchronizes all enterprise data sources to create AI applications based on a full range of internal data. It helps prep data for use in large language models (LLMs) with an optimized structure to handle RAG workflows, according to the Rivery announcement, and triggers Amazon Q synchronizations to ensure that AI applications are using the freshest data.

The new Snowflake as a data source integration helps data engineers and analysts replicate or migrate data from the Snowflake platform, migrating and synchronizing data as needed regardless of its destination. to simplify cross-platform data management. Rivery says this is particularly significant given that data from data warehouses is increasingly being fed back into operational systems to automate the use of analytical insights.

The new integration makes it possible to sync data between multiple data warehouses, migrate data from Snowflake to another data lake or data warehouse system, and activate Snowflake data in transactional databases or AI applications, according to Rivery.