Exasol, the analytics database, announced that starting, Exasol SaaS, the scalable, consumption-based SaaS database powered by Amazon Web Services (AWS), now via a native Interface to Keboola features, a cloud-based data stack-as-a-service platform.
As the first complete solution for data engineers, data analysts and analysis technicians, Keboola covers the entire spectrum of data requirements – from data acquisition to automation. Users benefit from an integrated function that connects them directly from Exasol’s Saas interface to Keboola. Keboola’s programmer-friendly platform offers 250+ integrations for building ETL/ELT and other pipelines, automation, one-click workflows with built-in business case templates, and enterprise-grade data governance across the stack. This combination improves data accuracy and reduces time to value.
Milan Veverka, VP of Alliances at Keboola, commented on the news: “We believe that when we surround ourselves with amazing people, we can achieve anything. That’s why we focus on building partnerships that have substance. Partnering with companies that think like we do – because it empowers everyone to make data-driven decisions. Keboola and Exasol offer great solutions together. We create an easy-to-use, cost-effective and easy-to-maintain Data Stack-as-a-Service solution and Exasol provides a fast in-memory database to help customers find their solution. Working together will make both the implementation and the queries themselves much faster for mutual customers.”
In addition to its new collaboration with Keboola, Exasol has introduced a number of new product features that expand its fully managed SaaS offering. The new product capabilities enable customers to access data-driven insights even faster without having to manage hardware infrastructures. These innovations include:
Optimized AI/ML capabilities: Customers can now ask complex questions such as B. predictive analytics, simply by applying AI/ML algorithms directly to the data. The operationalization of ML models also gives users maximum performance in the database.
Support for data virtualization: Analysts can access objects from external sources without the need for data migration. This support also eliminates the costly management of duplicate data. It allows users to more easily access their data – whether it’s stored on-premises or in the cloud – and set up or create a logical data warehouse.
Amazon SageMaker Extension: Exasol SaaS now supports a SageMaker extension. Using the Amazon SageMaker Autopilot service, users can now develop end-to-end projects that use machine learning for data stored in Exasol. This allows users to turn data into actionable insights in minutes.
“When it comes to an organization’s data strategy, leaders are looking for the security of modernization with market-proven enterprise capabilities that offer flexible migration paths – often to the cloud – at a pace and timing that fits budget and resource constraints compatible,” said Donald Kaye, Chief Commercial Officer at Exasol. The ramifications of this decision can be serious: they affect costs, the pace of innovation, production approvals, market penetration and safety, among other things. “To address the complex challenges organizations face in deriving actionable insights from their data, in February we announced an enhancement to our hybrid cloud offering, which consisted of:
Exasol SaaS is available in two versions. Exasol SaaS Standard Edition provides industry-leading on-demand performance for businesses with smaller data sets that don’t require complex analytics and data integration capabilities or advanced support. The Exasol SaaS Enterprise Edition is tailored for companies that need cross-departmental analytics environments, need to perform ML or AI in the database, or have complex needs related to data integration and data virtualization.
