Databricks Data Intelligence Platform Alternatives

Not only are the products we specialize in such powerful technologies, but the teams with which we have worked are always willing to give the best possible solution to the client. Their knowledge and guidance go beyond MarkLogic and Semaphore giving the client options for achieving their goals.

Very positive experience; Microsoft continues to keep adding features to the overall Fabric environment - which allows customers to take advantage of newer features with existing investments

I am using the ERS project for large data so my experience with SAS Viya has been very positive, particularly in enterprise and large-scale analytics environments. We are using it in the ERS project to create dashboards and insightful information. The platform offers a strong balance between advanced analytics, operational stability, governance and data insight. It is well suited for organizations that require reliable, scalable and auditable analytics across the full data and model lifecycle. While initial onboarding requires planning and enablement, the long-term value and performance make it a dependable analytics platform for mission-critical use cases

This system being an in-depth, AI powered, cloud native data management platform, we use it to process and replicate voluminous structured and unstructured data across hybrid and multi cloud environments which has ensured processing speeds stay fast without over provisioning infrastructure eliminating hands-on calibration.

It was a good experience creating notebooks to run graph queries on!

The current product Denodo support post implementation is minimal and often takes long to resolve the patch issues resulting in venerability

Good 1. A mature big data governance product that can meet the data development and governance needs of most enterprises. 2. Comprehensive ecosystem integration, effectively combining with the Alibaba Cloud ecosystem and open-source ecosystem, giving users a wide range of choices. Bad 1. DataWorks underwent a major version upgrade this year, resulting in significant changes to some product designs, altering user habits, and causing some product design flaws.