Database DevOps

Explore planned Database DevOps capabilities and enhancements.

This page tracks planned capabilities and enhancements for Database DevOps.

SaaS release status: GA, SMP release status: GA

Recently Delivered

What has been released in the last ~2 Quarters

Database SupportQ3

Oracle Native Executor

leverage native oracle cli to deploy your changes when using liquibase.

Database SupportQ3

MS SQL Native Executor

leverage native MS SQL cli to deploy your changes when using liquibase.

Core FeaturesAIQ3

Database Change Impact Analysis

Automatically analyze changes against db metadata before applying to surface possible unintended consequences.

AIQ3

AI Authoring Rules Support

can now centrally define rules when using AI change authoring.

Core FeaturesQ2

Pin Image UI

Allow pinning drone images through project settings instead of only via API

Core FeaturesQ2

Execution Time Optimization Part 2

Optomize liquibase container execution time.

Now

Currently under active development, ~ current quarter

Core Features

Onboarding Wizard

guided setup experience for new users

Database Support

BigTable support

support applying database changes to Google BigTable. Currently available in Beta for everything except Author DB Change.

Integrations

ECS Runner Support

support using DB DevOps with an ECS runner instead of requiring a Kubernetes delegate. Currently available within 1 AWS account in Beta.

Core FeaturesAI

AI Author DB Change - v2

simplify setup of AI Authorings ability to open a PR for the generated change.

Core Features

Execution Time Optimization Part 3

further decrease container account and execution time of DBD steps.

Core Features

Governance for MongoDB/BigTable

Allow OPA policies to analyze the yaml of a change, not just the SQL it compiles to.

Core Features

Simplify Pipeline Config

Simplify configuration of several pipeline DB Change patterns.

Database Support

Cassandra support

Support using Database DevOps with Cassandra.

Database Support

Databricks support

Support using Database DevOps with Databricks.

Database Support

Neo4j support

Support using Database DevOps with Neo4j.

Authentication

Entra Auth support

Support using Entra Authentication with Azure databases.

Core Features

Relationship Diagram

Visual diagram of the tables that currently exist in the database and how they relate.

Integrations

ProxySQL Support

Add support for using proxySQL to switch which database instance traffic is routed to for database blue/green deployments.

AI

LLM Authoring Files Support

Add support for using LLM Authoring for changes that span multiple changelog files.

Core Features

OOTB Policy Library

Out of the box example OPS policies in the product.

Next

What we'll build next, next ~2 quarters

Database Support

Databricks Support 2.0

additional change types when using databricks

Core Features

Support: Procedures, triggers, functions

Add first class change types and diff supports for several additional db object types

Core Features

Drift Detection (Liquibase)

Native, fully automated, visual drift detection, when deploying using liquibase

Core Features

State-Based Migrations

Ability to deploy all deltas in a db snapshot to the DB as a changetype

Database Support

DACPACs Support

a first class changetype for syncing a MSSQL database to the schema state in a microsoft dacpac

Database Support

DynamoDB support

support applying database changes to Amazon DynamoDB

Future

typically > 6 months out

Core Features

Auto-gen Rollback Scripts

Automatically generate rollback scripts at rollback time for changes that lack them.

Core Features

Rollback without Custom Pipeline

Allow automated rollback through UI without authoring a custom pipeline.

Core FeaturesAI

AI Index Optomization

Automatically identify slow queries, and review indexes, and open PRs to optomize.

Core Features

Native Local Dev

Seemlessly run DBD SaaS pipelines through a cli locally.

Core Features

Automated DB Testing

Natively support frameworks like DBFit and DBUnit.

Core Features

Refactoring Change Types

First class change types for high-level complex changes that can be done with 0 downtime

Core Features

Cross-ENV Checksum enforcement

Further enforce that changes are always consistent across environments

Core Features

Test Data Generation

generated anonymized synthetic test data for use in staging environments

Core Features

Xenv Relationship Diagram Diff

Allow an object-level diff view of what tables/objects existign in the database on the relationship diagram

Database Support

Support for AWS Redshift

Add support for the AWS Redshift database as a supported database type.

Database Support

Support for Couchbase

Add support for the Couchbase database as a supported database type.

Database Support

Support for Teradata

Add support for the Teradata database as a supported database type.

Core Features

DB Provisioning

integrate to Harness IACM to simplify DB provisioning and handling of ephemeral database environments.

Core Features

Changelog Generation

Automatically generate a baseline changelog from an existing database config without authoring a custom pipeline

Core Features

Query Console

Allow developers to run ad-hoc read queries against DBs, with an ability to anonymize results

Core Features

Drift Detection (Flyway)

Detect and surface schema differences between a database and its expected state for flyway schema types

Orchestration

Variablized JDBC URL

Allow referencing properties from a database instance inside the JDBC URL of a database connector.