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.

An open-source platform designed to leverage machine learning for predictive analytics within databases, it allows developers to easily integrate AI models with their data. Provides users with tools to build, train, and deploy machine learning models directly on their databases.

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

Designs and develops data solutions for blockchain applications, ensuring data integrity, security, and scalability.

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.

Responsible for managing and ensuring the integrity of databases within an organization. Key tasks include data entry oversight, generating reports, and maintaining data quality standards.

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

Refers to data that is distributed across multiple locations or systems, rather than being stored in a central repository.

Specializes in the integration of biology and computer science to process and analyze biological data. Plays a critical role in biotechnological and pharmaceutical research and development.