Best Data Version Control Tools in 2026 — page 2

Weights & Biases

Choose Weights & Biases if your work needs experiment tracking alongside tools for evaluating and monitoring AI applications, with registry and deployment options.

Project Nessie

Project Nessie combines versioned data-lake metadata with branching and transactional updates.

TileDB Cloud

TileDB Cloud combines array-based storage, in-place analysis, versioning, collaboration, and multiple deployment models.

XTDB

XTDB focuses on keeping historical state queryable through bitemporal records and SQL.

Lance

Lance brings multimodal data, search, and table management together for object-storage workflows.

data.world Data Catalog

Choose data.world Data Catalog if automated discovery, lineage across columns, pipelines, and reports, or impact analysis fit your organization’s needs.

PlanetScale

PlanetScale combines managed relational databases with sharding, branching, and high-availability architecture.

Carbon Data Layer

Carbon Data Layer links instrument output, provenance, governance, and analysis in one platform. Prospective teams must request pricing and discuss their instruments, workflows, and deployment needs.

DVID

DVID provides versioned scientific data storage with broad client and backend options. Its self-hosting model and missing version-diff tools are important considerations for deployment planning.

Databricks Lakebase

Databricks Lakebase focuses on controlled changes to table data with branching, snapshots, and rollback. Its paid, vendor-hosted cloud model includes a 14-day trial but no ongoing free plan.

Snowflake Notebooks