If you're trying to consolidate business data into a single warehouse for better analysis and decision-making, Stitch is a great option. This cloud-based ETL tool lets you rapidly integrate data from more than 140 sources, including Salesforce, Google Analytics and Facebook Ads, into a cloud data warehouse. It has automated pipelines, high-speed data transfer and enterprise-class security, making it good for both data engineers and business analysts.
Another top contender is Informatica, a cloud-based, AI-infused data management tool that integrates, governs and unifies data across multi-cloud and hybrid environments. It uses its CLAIRE AI engine to automate data integration jobs and offers tools like cloud connectivity, data catalog and data quality. That makes it a good choice for companies trying to modernize their data management and get their data ready for AI.
For a hybrid data platform that can ingest, process and analyze data securely in both cloud and on-premise environments, check out Cloudera. Cloudera's platform aggregates vast amounts of data from multiple sources into a single trusted system for insights and AI model training. It offers a variety of data services and supports real-time insights, automated data pipelines and big data analytics.
Last, Teradata offers a flexible data analytics and platform that integrates and harmonizes data across an organization. Its top product, ClearScape Analytics, offers a unified view of data and faster answers. Teradata VantageCloud can handle multiple workloads, including AI/ML, lakehouses and data warehouses, and can be deployed in public cloud, hybrid cloud or on-premises environments. It's designed to accelerate innovation and improve data-driven decision-making.