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Brooked vs Fivetran
Fivetran is the enterprise standard for automated data pipelines into warehouses. Brooked is built for what happens after the data lands, analysts and finance teams querying, syncing, and writing back from Google Sheets with AI.
Our take
Fivetran and Brooked are complementary, not competitive. Fivetran centralises your data in a warehouse; Brooked puts that warehouse data in front of the people who need it, inside Google Sheets, with AI and two-way sync. Most data-mature companies end up using both.
Where Brooked wins
- Designed for analysts and finance teams, no data engineer required
- Lives inside Google Sheets, zero context switching
- Two-way sync: write data back to Snowflake, PostgreSQL, MySQL from Sheets
- Native AI agent with Python sandbox (pandas, numpy) included
- Finance & ERP connectors: QuickBooks, Sage Intacct, NetSuite
- Free tier with 100 imports/month and AI Analyst, no MAR or row-based billing
- $29/user/mo vs Fivetran's MAR-based pricing that scales to thousands per month
Where Fivetran wins
- 500+ pre-built connectors with automated schema migration
- Delivers data into any warehouse (Snowflake, BigQuery, Redshift, Databricks, etc.)
- Change data capture (CDC) for real-time, low-latency sync
- Enterprise-grade reliability: 99.9% uptime SLA, SOC 2 Type II, ISO 27001
- dbt and Transformation support built into the platform
- Trusted by thousands of enterprise customers at massive scale
- Fivetran Lite for lightweight ingestion at a lower cost tier
Feature comparison
Brooked vs Fivetran, side by side
| Feature | Brooked | Fivetran |
|---|---|---|
Pricing | ||
Free tier | 100 imports + GLM AI | Free up to 500K MAR (Monthly Active Rows) |
Paid pricing model | $29 / user / mo (flat) | MAR-based, scales with data volume |
Cost at scale | Flat per-user | Grows with row count, can reach $1K–$10K+/mo |
Infrastructure required | None | None (fully managed cloud) |
Free trial | 14 days, no card | 14-day trial on paid plans |
AI & Intelligence | ||
Native AI agent | ||
Python sandbox pandas, numpy, any pip package, runs in the Brooked AI agent | ||
Natural language queries | ||
AI models included | GLM, Claude, OpenAI | |
dbt transformations Fivetran includes dbt Core transformations after load | ||
Data Movement | ||
Two-way sync (write-back) Fivetran is extract-load only, no write-back to source systems | All DB connectors | |
Destination | Google Sheets | Any warehouse, database, or lake |
CDC / streaming | ||
Schema migration | Automatic | |
Total source connectors | 13 (focused) | 500+ (enterprise breadth) |
SQL from Sheets sidebar | ||
Integrations (as sources) | ||
Data warehouses (as source) | Snowflake, Databricks, Redshift | 500+ sources including all major warehouses |
Databases | PostgreSQL, MySQL, SQL Server, Supabase | PostgreSQL, MySQL, MongoDB, Oracle + more |
Finance / ERP | QuickBooks, Sage Intacct, NetSuite | NetSuite, SAP, Workday (enterprise ERPs) |
CRM & SaaS | HubSpot | Salesforce, HubSpot, Marketo + hundreds more |
Platform & Compliance | ||
Target persona | Analysts, finance, ops | Data engineers, data platform teams |
Lives inside Google Sheets | ||
SOC 2 Type II | ||
ISO 27001 | ||
Audit log | ||
Schema drift detection | ||
SSO / SAML | Enterprise | All paid plans |
Google Workspace verified | ||
Use cases
Which tool fits your situation?
Data team centralising 50+ sources into Snowflake or BigQuery
Fivetran is the gold standard here, 500+ connectors, automatic schema migration, CDC, and enterprise SLAs. Brooked is not a warehouse ingestion tool.
Finance team pulling QuickBooks or NetSuite into Sheets for month-end reporting
Fivetran lands ERP data in a warehouse, it doesn't put it in Google Sheets. Brooked connects QuickBooks, Sage Intacct, and NetSuite directly to Sheets in minutes, with scheduled refresh and AI-powered variance analysis.
Analyst querying Snowflake or Redshift data live from Sheets
Fivetran loads data into warehouses for downstream BI tools, it doesn't give analysts a Sheets-native query interface. Brooked does exactly that, plus write-back and Python analysis.
Enterprise that needs SOC 2, ISO 27001, and 99.9% uptime SLA
Fivetran is battle-hardened for enterprise compliance requirements. Brooked is a Google Workspace verified app in an earlier stage of enterprise certifications.
Ops team writing data back from Sheets to a database
Fivetran is strictly one-directional. Brooked supports INSERT, UPDATE, UPSERT, and DELETE back to Snowflake, PostgreSQL, MySQL, SQL Server, and Databricks.
Small team needing warehouse data in Sheets without engineering support
Fivetran requires a data engineer to set up pipelines and manage destinations. Brooked connects directly inside Google Sheets in minutes, no engineering help, no separate app, no pipeline configuration.
Try Brooked free, 100 imports/month, no credit card
Install from the Google Workspace Marketplace in 60 seconds.
Install for Google Sheets, it's freeFAQs
Common questions about switching
- Do Fivetran and Brooked compete?
- No, they operate at different layers of the data stack. Fivetran moves data from sources into your warehouse. Brooked connects that warehouse (plus ERPs and databases) to Google Sheets for analysis and write-back. A common pattern: Fivetran centralises your data in Snowflake, and Brooked lets analysts query Snowflake live from Sheets.
- Can Brooked replace Fivetran?
- Not for warehouse ingestion. If your goal is loading data at scale into Snowflake, BigQuery, or Redshift, Fivetran is the right tool. Brooked is a last-mile tool, it gets data from warehouses and ERPs into Google Sheets, with AI and write-back capabilities Fivetran doesn't offer.
- Is Brooked cheaper than Fivetran?
- For analyst-facing use cases, yes, significantly. Brooked is $29/user/month flat. Fivetran is priced on Monthly Active Rows (MAR) and can reach hundreds or thousands of dollars per month as data volume grows. For a 5-person finance team pulling QuickBooks and Snowflake data into Sheets, Brooked is orders of magnitude cheaper.
- Does Brooked support write-back to databases?
- Yes. Brooked supports INSERT, UPDATE, UPSERT, and DELETE from Google Sheets back to Snowflake, PostgreSQL, MySQL, SQL Server, and Databricks. Fivetran is extract-load only and does not write back to source systems.
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