Since the sudden explosion of generative AI with OpenAI's debut of Chat-GPT in 2022, AI itself has quickly evolved to act as different things to different organizations and people-sometimes lacking alignment. Adoption of AI in some form is now widespread, with McKinsey research suggesting that 88% of organizations are deploying AI in at least parts of their organizations. However, just as many report no significant bottom-line impact. To help readers gain a greater understanding about this complex area of information technology, the solutions available, and their role in handling real-world challenges, DBTA and Big Data Quarterly present the list of Awesome Companies in AI.

Discover how five industry leaders leverage Aerospike’s database technology to drive real-time decisions, scale massive datasets, and reduce operational costs.

Aerospike Voyager: free GUI to explore & edit records. Query syntax (AEL) extend to Java/Python SDKs and connect AI agents via MCP server. macOS, Windows, Linux.

Scalability and availability are no longer enough. Learn why predictability is becoming the key to building stable, high-performance systems in the AI era.

Explore Aerospike’s new Java and Python SDKs designed for predictable performance, simpler APIs, and faster development with AI-ready code.

Learn how Aerospike's native Datadog integration works, what eight pre-built dashboards cover, and how to set it up on your nodes or via Prometheus Exporter.

Scalability and availability are no longer enough. Learn why predictability is becoming the key to building stable, high-performance systems in the AI era.

Scalability and availability are no longer enough. Learn why predictability is becoming the key to building stable, high-performance systems in the AI era.

Learn how Myntra built Maya, a real-time GenAI shopping assistant, using Aerospike for sub-millisecond feature lookups, conversation persistence, and scale.

A technical overview of load balancers, including algorithms, architectures, and design considerations for low-latency and large-scale production systems.

See how Unity powers 10 million operations per second with sub-10ms latency using Aerospike to manage 100TB of data for real-time mobile game advertising.

Learn how multi-AZ databases improve availability, fault tolerance, and performance for real-time enterprise systems. Explore architecture tradeoffs, consistency models, and operational considerations.

Aerospike Kubernetes Operator 4.2 introduces FIPS compliance, rack-level storage scaling, and safer pod eviction controls to improve reliability for production Aerospike clusters on Kubernetes.

Learn what a schemaless database is, how it differs from relational models, and why enterprises use it for low latency, scale, and operational flexibility.

See how Aerospike and ScyllaDB perform at multi-terabyte scale, comparing tail latency and cost using benchmark results. Download the full report today.

To deliver predictable real-time ad decisions under volatile global demand, MGID uses Aerospike to process nearly 200,000 reads per second with sub-millisecond latency across four regions.

An in-depth look at how content delivery networks operate, the role they play in reducing latency, and why they matter for modern distributed applications.