Databases

Lakehouse platform for upserts and incremental processing. Efficient record-level updates.

AWS managed, auto-scaling NoSQL

Open table format for huge analytics tables. Multi-engine (Spark, Trino, Flink). Used by Netflix, Airbnb.

Lakehouse storage framework. ACID transactions, schema evolution, time travel. Databricks standard.

Serverless vector database in Rust. Embedded or cloud, no server needed. Native DataFrame integration.

High availability, peer-to-peer architecture

Faster joins, easier maintenance

Multithreaded, 1M+ ops/sec per node

Real-time OLAP database for event-driven data. Sub-second queries, streaming ingestion.

Lightweight in-memory caching, multi-threaded

Higher concurrency, MySQL-like syntax

AI-native vector database with built-in ML models. Supports hybrid search (vector + keyword). GraphQL API.

High-performance time-series database. Ultra-low latency for scraping metrics and monitoring.

SQL + flexible documents, strong consistency

AI-native embedding database. Simple API for storing and querying embeddings. Popular choice for LangChain/LlamaIndex.

The MongoDB Database

High-performance vector search engine in Rust. Built for production RAG and semantic search at scale.

Embedded OLAP, SQLite-like simplicity

Open-source vector database for AI. Handles billion-scale embeddings with GPU acceleration. LF AI & Data Foundation project.

ClickHouse® is a real-time analytics database management system

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.