What types of data pipelines is your org using?
Batch streaming38%
Real-time streaming78%
Lambda architecture31%
Other (please share in comments)4%
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MBA / Master's Degree72%
CISSP / Comparable Certification27%
Has the AI hype died down at your org? What changes have you noticed in how teams respond to new applications of AI in your data and analytics systems, and how did you respond to them?
When you need to create a unified query layer across your data estate - spanning operational MongoDB, relational databases (e.g., MySQL, PostgreSQL), and file-based data in remote storage:
What is the most critical capability you are seeking that is currently unmet by existing solutions?
A fully-managed, serverless federation service tightly integrated with a single primary database vendor's cloud ecosystem for ease of use.32%
A flexible solution that offers greater control over deployment (e.g., on-premises, hybrid cloud/VPC) to meet data sovereignty, security, or multi-cloud requirements.32%
A primary focus on real-time performance and complex analytics, even if it means moving data into a specialized data warehouse or data lakehouse.37%
Simplified data governance and a unified security model that can be applied across all connected data sources, regardless of the underlying technology.11%
Kappa Architecture is replacing Lamba, it is mainstream now.