Real-Time Analytics
Real-time database for real-time data warehousing, customer-facing and agent-facing analytics
Lakehouse Analytics
The fastest lakehouse SQL engine, replacing Trino/Presto, SparkSQL
Observability in the AI Era
The most cost-effective alternative to Elasticsearch observability
VeloDB for AI
The AI-Ready analytics database for the AI era
Bytebase is database DevOps for the modern data team. Pair it with VeloDB and every DDL — new tables, column changes, materialized views — flows through review, automated checks, and staged rollout, with a clean audit trail attached to every release.
Bytebase brings GitOps-style workflows to databases: pull-request-style change review, SQL linting, schema diff across environments, role-based access, and full audit logs. It supports a broad set of database engines so the same workflow covers VeloDB and the rest of your stack.
Every VeloDB schema change goes through pull-request-style review with SQL linting and automated checks before it hits production.
Deploy the same change from dev → staging → prod with one workflow; Bytebase tracks drift and applies it consistently.
Who changed what, when, and why — all captured automatically for compliance, debugging, and post-incident review.
Govern VeloDB alongside your operational databases and lakehouse engines — same review process, same access controls.
Add columns, rebuild indexes, or evolve table structures on VeloDB without surprising downstream queries.
Capture review approvals and SQL diffs for every change — useful for SOC 2, ISO 27001, and internal audits.
Let analysts and engineers issue queries and DDL through Bytebase, with policies that protect VeloDB from risky operations.
Tell us about your stack and use case. Our team will help you stand up VeloDB with Bytebase for your environment.