Do I need a separate data warehouse for my AlloyDB data?

No. Definite includes a built-in lakehouse, so you don't need to pay for a separate warehouse like Snowflake, BigQuery, or Redshift. Your AlloyDB data syncs into open Parquet storage and is queried by a DuckDB-powered engine for high-performance analytics. Definite handles encrypted, persistent storage behind the scenes with enterprise-grade security, automatic syncing, and backups. You get lightning-fast queries, built-in business intelligence tools, and SOC 2 compliant security, all without the overhead or complexity of running a separate warehouse.

Can I analyze my AlloyDB data with other data sources?

Yes. Definite lets you connect and analyze data across all your tools: app databases, CRMs, marketing automation, analytics, and customer support platforms. Our built-in Sync Engine supports 500+ data sources, with options for daily, hourly, or near real-time syncs. You can select metrics and dimensions from your AlloyDB data alongside other sources to explore insights, build dashboards, and share results (no SQL needed, unless you want to). Or simply ask Fi, our AI analyst, to find answers, uncover patterns, and instantly create charts and reports for you.

Can Definite connect AlloyDB data to tools like Python, SQL, Google Sheets, or Slack?

Yes. Definite integrates seamlessly with the tools you already use. You can run Python scripts for advanced analysis, query your data directly with SQL, or sync results to Google Sheets and Slack for easy sharing. Data can be exported in CSV, Excel, or JSON, accessed via the Metrics API, or embedded directly into your product or internal dashboards. Definite makes it simple to connect, automate, and share insights wherever your team works.

How does Definite's AI actually work?

Definite includes Fi, our AI data analyst that understands your business data and speaks your language. Fi can explore your connected sources, write SQL, and build charts or dashboards in minutes, turning plain-English questions into real analysis. Under the hood, Fi uses Definite's semantic models and query engine to interpret context, generate accurate queries, and explain results clearly. The result: faster insights, fewer bottlenecks, and analytics that finally deliver ROI.

Can I use Definite for free?

Yes. Definite offers a free plan for qualifying startups that includes core analytics, dashboards, and AI insights: everything you need to get started. You can upgrade anytime for more data sources, faster syncs, and advanced automations.

Definite runs as a private deployment in your own cloud (AWS, GCP, Azure, or anywhere with Kubernetes); you keep control of data, compute, and networking. Request a demo →

Explore with AI

← All connectors/Application Database

§ Connector

AlloyDB

Analyze your AlloyDB data with AI today.

Build dashboards, automate reports, and ask questions in plain English — all from your AlloyDB data, no complex infrastructure to maintain.

See AlloyDB in Definite →Try it free

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§ Live with

§ What you get

Everything AlloyDB exposes, modeled and queryable.

AlloyDB is Google Cloud's PostgreSQL-compatible database, replicated through the Singer tap-postgres connector. The tap dynamically discovers every table across all (or filtered) schemas in the database, so the available data objects depend entirely on your own AlloyDB schema rather than a fixed API surface.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

Standard

Row-level security

Yes

Tables & streams

4 objects

◆Discovered Tables

Every table the tap finds across the database's schemas, each replicated as its own stream with a JSON schema inferred from the source column types. These become the raw source-of-truth tables for any downstream modeling and analytics on your application data.

general_data_storageproductoperations

◆Full-Table Replication

Default replication method that re-reads an entire table on each sync. Used for dimension or reference tables small enough to reload fully, giving a complete current snapshot for analytics.

general_data_storageoperations

◆Incremental Replication

Syncs only rows changed since the last bookmark using a replication key column (e.g. updated_at or an auto-incrementing id). Efficient for large append- or update-heavy tables where reloading everything is costly.

general_data_storageoperations

◆Log-Based Replication (CDC)

Change-data-capture via PostgreSQL logical replication slots and the wal2json plugin, capturing inserts, updates, and deletes (deletes arrive with non-key fields nulled, replication key _sdc_lsn). Enables near-real-time, delete-aware sync of source tables for accurate operational analytics.

general_data_storageinfrastructure_devopsoperations

§ How it works