Data Engineering Job Market Trends

A vector database designed for complex data retrieval and analysis. Used extensively in applications that require high-performance data science capabilities.

A vector database that enables the storage, indexing, and querying of high-dimensional vector data, often used in machine learning applications.

An in-process SQL OLAP database management system designed for analytical query workloads, known for its performance and efficiency.

Specializes in configuring and managing Splunk software to aggregate and analyze log data. Helps organizations gain insights and improve system performance through real-time monitoring.

A suite of tools and models for working with LLMs, offering capabilities for fine-tuning, querying, and managing large language models.

Responsible for managing and maintaining PostgreSQL databases. Ensures data availability, performance, and security within organizations.

Refers to the hardware and software systems that support the development, deployment, and operation of artificial intelligence applications.

A platform that provides tools and infrastructure for managing and analyzing data for artificial intelligence applications.

A company that provides data annotation services for machine learning models, specializing in image, text, and video datasets. Their platform enables organizations to efficiently and accurately label data for AI model training.