8base vs. Base AI vs. Oracle NoSQL Database vs. Tarantool Comparison Chart

The easiest way to build serverless autonomous AI agents with memory. Start building local-first, agentic pipes, tools, and memory. Deploy serverless with one command. Developers use Base AI to develop high-quality AI agents with memory (RAG) using TypeScript and then deploy serverless as a highly scalable API using Langbase (creators of Base AI). Base AI is web-first with TypeScript support and a familiar RESTful API. Integrate AI into your web stack as easily as adding a React component or API route, whether you're using Next.js, Vue, or vanilla Node.js. With most AI use cases on the web, Base AI helps you ship AI features faster. Develop AI features on your machine with zero cloud costs. Git integrates out of the box, so you can branch and merge AI models like code. Complete observability logs let you debug AI-like JavaScript, and trace decisions, data points, and outputs. It's like Chrome DevTools for your AI.

Corporations need a way to ensure uninterrupted operation of their systems, high speed of data processing, and reliability of storage. The in-memory technologies have proven themselves well in solving these problems. For more than 10 years, Tarantool has been helping companies all over the world build smart caches, data marts, and golden client profiles while saving server capacity. Reduce the cost of storing credentials compared to siloed solutions and improve the service and security of client applications. Reduce data management costs of maintaining a large number of disparate systems that store customer identities. Increase sales by improving the speed and quality of customer recommendations for goods or services through the analysis of user behavior and user data. Improve mobile and web channel service by accelerating frontends to reduce user outflow. IT systems of large organizations operate in a closed loop of a local network, where data circulates unprotected.