3 Integrations with Cloudera Data Science Workbench
View a list of Cloudera Data Science Workbench integrations and software that integrates with Cloudera Data Science Workbench below. Compare the best Cloudera Data Science Workbench integrations as well as features, ratings, user reviews, and pricing of software that integrates with Cloudera Data Science Workbench. Here are the current Cloudera Data Science Workbench integrations in 2026:
-
1
IBM Db2 Big SQL
IBM
A hybrid SQL-on-Hadoop engine delivering advanced, security-rich data query across enterprise big data sources, including Hadoop, object storage and data warehouses. IBM Db2 Big SQL is an enterprise-grade, hybrid ANSI-compliant SQL-on-Hadoop engine, delivering massively parallel processing (MPP) and advanced data query. Db2 Big SQL offers a single database connection or query for disparate sources such as Hadoop HDFS and WebHDFS, RDMS, NoSQL databases, and object stores. Benefit from low latency, high performance, data security, SQL compatibility, and federation capabilities to do ad hoc and complex queries. Db2 Big SQL is now available in 2 variations. It can be integrated with Cloudera Data Platform, or accessed as a cloud-native service on the IBM Cloud Pak® for Data platform. Access and analyze data and perform queries on batch and real-time data across sources, like Hadoop, object stores and data warehouses. -
2
Cloudera Data Platform
Cloudera
Unlock the potential of private and public clouds with the only hybrid data platform for modern data architectures with data anywhere. Cloudera is a hybrid data platform designed for unmatched freedom to choose—any cloud, any analytics, any data. Cloudera delivers faster and easier data management and data analytics for data anywhere, with optimal performance, scalability, and security. With Cloudera you get all the advantages of private cloud and public cloud for faster time to value and increased IT control. Cloudera provides the freedom to securely move data, applications, and users bi-directionally between the data center and multiple data clouds, regardless of where your data lives. -
3
Cloudera
Cloudera
Manage and secure the data lifecycle from the Edge to AI in any cloud or data center. Operates across all major public clouds and the private cloud with a public cloud experience everywhere. Integrates data management and analytic experiences across the data lifecycle for data anywhere. Delivers security, compliance, migration, and metadata management across all environments. Open source, open integrations, extensible, & open to multiple data stores and compute architectures. Deliver easier, faster, and safer self-service analytics experiences. Provide self-service access to integrated, multi-function analytics on centrally managed and secured business data while deploying a consistent experience anywhere—on premises or in hybrid and multi-cloud. Enjoy consistent data security, governance, lineage, and control, while deploying the powerful, easy-to-use cloud analytics experiences business users require and eliminating their need for shadow IT solutions.
- Previous
- You're on page 1
- Next