Best Database Tools 2026

6 database tools evaluated and rated on the Tekai technology radar.

trial 3

assess 3

ChromaDB

Open-source AI-native vector database designed for prototyping and RAG applications, with a 2025 Rust-core rewrite adding hybrid search and a managed cloud offering; widely used but not designed for 50M+ vector production workloads.

open-source Apache-2.0

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Milvus

Apache-2.0 distributed vector database for billion-scale similarity search, built for cloud-native Kubernetes deployment with GPU acceleration, multiple index types (HNSW, DiskANN, IVF), and sparse+dense hybrid search; the leading open-source vector database at 44k+ GitHub stars.

open-source Apache-2.0

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Zilliz Cloud

Fully managed vector database service built on Milvus, operated by Zilliz with enterprise-grade SLA (99.95%), SOC 2 Type II, HIPAA-readiness, and a proprietary Cardinal search engine delivering performance improvements beyond open-source Milvus.

vendor Commercial

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ClickHouse

Open-source columnar OLAP database for real-time analytics on large datasets, with a managed cloud service option.

vendor Apache-2.0

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Dolt

A SQL database with built-in git-style version control, letting you branch, merge, diff, and commit structured data via a MySQL-compatible protocol.

open-source Apache-2.0

assess

LadybugDB

Embedded columnar graph database targeting agentic and regulated-industry workloads, with a WASM build enabling in-browser graph queries and described as the successor to Kùzu.

open-source Unknown (check repository)

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