February 2026 Summaries

Disposable software, characterized by its single-use nature and short lifespan, is becoming increasingly prevalent, particularly with the rise of artificial intelligence, which is reducing the cost and time associated with its creation. Examples include Python notebooks, Streamlit apps, and BI dashboards, which are often developed rapidly to address specific needs and discarded once their purpose is fulfilled. The concept is reminiscent of Star Trek: The Next Generation, where the computer synthesized user interfaces on-demand for unique tasks, highlighting the balance between disposable and traditional software. While traditional software remains necessary for standardized tasks due to its efficiency and the complexity involved in learning new workflows, the shift toward on-demand insights is transforming the role of analytics teams from producers of numerous dashboards to curators of context, focusing on maintaining a few essential dashboards and facilitating on-demand insights. In this evolving landscape, the ability to quickly generate disposable software allows organizations to adapt swiftly to changing business needs without the environmental impact associated with physical disposable goods.

Apache Polaris has become a top-level project under the Apache Software Foundation, marking its maturity and community governance after successfully incubating since August 2024. With over 100 contributors and more than 2,800 pull requests, Polaris has addressed the catalog gap in the Apache Iceberg ecosystem by providing a community-driven, open standard for metadata management, which was previously reliant on proprietary solutions like AWS Glue and Unity Catalog. Polaris's implementation of the Iceberg REST API spec enables seamless interoperability across various data engines, fostering open lakehouse architectures that support both analytics and AI workloads. Fivetran has built its Iceberg REST Catalog on Polaris to ensure vendor neutrality and accessibility across cloud providers and query engines, reinforcing the stability and long-term governance of its infrastructure. For Fivetran customers, this graduation ensures that their data infrastructure remains robust and community-backed, with Polaris continuing to handle metadata for Iceberg tables without any changes to current operations.

Forrester Research's report examines the evolution and current landscape of data lakehouses, highlighting their role as established platforms for analytics and AI, which help organizations reduce costs, enhance interoperability, and support large-scale, AI-driven workloads. The report contrasts the limitations of traditional data warehouses and data lakes with the advantages of lakehouses, which combine the scalability of lakes with the governance of warehouses. It underscores the importance of reliable, automated data ingestion, interoperability, and continuous maintenance for successful lakehouse implementation. Fivetran is identified as a leading vendor due to its automated data extraction, loading, and transformation capabilities, support for open table formats to prevent vendor lock-in, and robust pipeline reliability to support real-time and AI workloads without operational complexity. The report concludes that operational success in the lakehouse market hinges on simplifying ingestion, adopting open architectures, and minimizing maintenance, positioning organizations for faster insights and AI innovation.

Agentic AI, which combines the capabilities of generative AI with automation, is transforming industries by enabling organizations to quickly iterate and implement solutions using trusted data subsets and off-the-shelf tools. This approach allows companies to enhance productivity and unlock new capabilities that were previously unattainable, such as developing specialized applications for sales, marketing, and engineering. While agentic AI is not yet fully autonomous and still requires human oversight, it excels in automating high-volume, repetitive workflows and synthesizing information to deliver targeted business solutions. The successful deployment of AI applications hinges on identifying impactful use cases, integrating relevant data sources, and leveraging reliable platforms like Google Cloud. By focusing on value-impacting applications and measuring real business outcomes, organizations can capitalize on the rapid advancements in AI technology, avoiding the pitfalls of waiting for perfect conditions.

Pleo, a financial institution, faced challenges in managing marketing campaigns and data security, particularly in distinguishing between product users and potential leads. By utilizing HubSpot Association Labels alongside Fivetran Activations, Pleo successfully operationalized data management to enhance marketing efficiency and ensure data compliance. HubSpot Association Labels facilitate the understanding of complex customer relationships by mapping connections between contacts and company roles, allowing for personalized communication and targeted marketing. For instance, Sienna Collins, who holds different roles within the Byte Group and ByteOperations UK, illustrates the need for accurate data associations to tailor marketing efforts and exclude irrelevant workflows. Fivetran Activations streamlines the setup of these associations by leveraging data warehouses, automating the process to reduce errors and save time. This integration enables Pleo to achieve a comprehensive Customer 360 perspective, unlocking opportunities for personalized marketing, precise segmentation, automated workflows, and informed revenue forecasting, thereby driving revenue growth and operational efficiency.

Apache Iceberg has become a cornerstone for modern lakehouses, providing interoperable, multi-engine workflows and making data lakes production-ready by enabling features like ACID transactions, schema evolution, and time travel. However, its complexity, involving intricate concepts like manifest files, snapshot management, and catalog services, presents a steep learning curve for many organizations. Fivetran's Managed Data Lake Service offers a solution by handling the complexities of Iceberg, allowing users to benefit from its features without needing deep technical expertise. With Fivetran, data is stored in open formats, enabling seamless access across multiple Iceberg-compatible query engines like Snowflake, Trino, and BigQuery, while eliminating the need for maintaining redundant pipelines or managing infrastructure overhead. The service automates maintenance tasks such as compaction and metadata management, ensuring that the data remains consistent and queryable without manual intervention. This approach allows organizations to focus on leveraging their data across various analytical and machine learning tools without being locked into a single vendor or dealing with the operational challenges of maintaining an Iceberg environment.

Audience Hub is a tool designed to empower marketing teams by providing direct access to complete and trusted customer data from existing data warehouses, facilitating personalization at scale without the need for extensive engineering support. It offers a user-friendly point-and-click interface for marketers to explore, segment, and sync audiences across marketing platforms, enabling more granular targeting and consistent messaging without relying on SQL. By integrating seamlessly with existing data stacks, Audience Hub eliminates data duplication and vendor lock-in, turning data warehouses into powerful engines for hyper-personalized, omnichannel campaigns. The platform includes advanced segmentation features, such as one-click audience generation, complex logic visualization, and robust analytics for audience insights and performance tracking. This approach allows marketing and data teams to collaborate effectively around a single source of data truth, maintaining governance while accelerating campaign execution and optimizing growth strategies.

Healthcare teams are increasingly building AI workflows, but many find their existing data pipelines inadequate for AI demands, which require quick, reliable access to diverse data types. Murali Gandhirajan, Global Healthcare & Lifesciences CTO at Snowflake, emphasizes the importance of data accessibility and speed for business impact. Snowflake offers a comprehensive solution by supporting multimodal data and enabling AI application through built-in services like Snowflake Cortex. Fivetran complements this by facilitating seamless data movement from source systems to Snowflake with minimal maintenance. Together, these platforms streamline the infrastructure work, allowing teams to focus on AI development rather than pipeline maintenance. This approach enables rapid deployment of AI use cases, as demonstrated by Sharp HealthCare, which transformed its data operations using Fivetran and Snowflake, resulting in significant cost savings and enhanced clinical insights. By automating data ingestion and leveraging Snowflake's unified platform, organizations can efficiently iterate on AI projects, moving from proof of concept to measurable value with reduced operational overhead.

Fivetran has launched Fivetran Activations, a new capability designed to integrate warehouse data directly into everyday business tools, enhancing the ability to act on data insights. This development allows data teams to manage the entire data lifecycle, from ingestion and transformation to activation, within a single platform, reducing the need for multiple vendors and systems. Fivetran Activations offers features such as reverse ETL pipelines, enabling data to move back into applications like CRMs and marketing platforms, along with self-service data transformations and audience creation. These capabilities facilitate faster, data-driven decision-making by providing business teams with seamless access to up-to-date, trusted data, and are backed by robust data governance and security measures. Companies like Canva have successfully adopted this approach, achieving timely insights and personalized user experiences with reduced operational overhead. With Fivetran Activations, data warehouses transition from being mere analytics destinations to becoming engines of business action, streamlining processes and amplifying growth potential.

Fivetran's acquisition of Census, now branded as Fivetran Activations, introduces a unified platform that simplifies customer experience by consolidating data movement and activation under a single contract with consumption-based pricing. This pricing model eliminates the previous flat fee, focusing instead on monthly active rows (MAR) to provide more predictable costs tied to data changes, such as additions, updates, or deletions. Customers can manage Connections, Transformations, and Activations with a single budget, gaining clearer visibility and easier expansion without needing sales negotiations. The streamlined approach offers free and paid plans, with 3,500 free MARs for Activations and 500,000 for Connections, encouraging testing and scaling based on specific needs. The integration allows existing and new customers to access features like reverse ETL directly through their Fivetran dashboard, with a 14-day free trial available for exploring capabilities.