
RepairShopr
RepairDesk
RepairFlow.dev
RepairQ
Fixitize
Shelvdon
Everflow
Live customer tracking pages and automatic SMS updates for repair shops, mobile service, detailers, and service businesses. Free, no credit card.

Databricks
Looker
Jupyter
Presto DB
Amazon EMR
Google Cloud Dataflow
Rakam
A fully managed data warehouse for large-scale data analytics.

Which is more popular?
Based on our record, Google BigQuery seems to be more popular. It has been mentioned 47 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | fixyflow.com | cloud.google.com |
| Pricing | ||
| Platforms | — | |
| Company | Startup from Canada · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


FixyFlow is the customer communication layer for repair and service businesses. Turn every work order into a live tracking page with automatic SMS updates — customers stop calling to ask "is it ready yet?" and you stop losing hours to status phone tag. Small service operators running 5–200 work...
No description of Google BigQuery yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing FixyFlow and Google BigQuery.
FixyFlow's answer
FixyFlow does one thing — customer communication — and runs alongside whatever you already use (Jobber, RepairShopr, Shop-Ware, Tekmetric, or pen and paper). Most shop management tools try to replace your entire workflow. FixyFlow just owns the SMS, tracking page, and review-ask layer so customers stop calling to ask "is it ready yet?" — no data sync, no double entry, setup in under 5 minutes.
FixyFlow's answer
Three reasons. (1) No migration — FixyFlow sits beside your existing tools instead of replacing them, so you don't retrain staff or move data. (2) Priced for solo operators at $15/mo rather than $150–300/mo for full shop management suites. (3) Direct founder support — emails reach a real person, not a ticket queue. The free trial is 14 days, no credit card, and setup takes under 5 minutes.
FixyFlow's answer
Small service business owners running 5–200 work orders a month: phone and electronics repair, auto repair andcollision, dry cleaners and tailors, HVAC and plumbing, jewelers and locksmiths, bicycle and furniture repair, appliance service. Particularly strong fit for "first CRM" customers — shops still tracking jobs in a notebook or spreadsheet and drowning in status phone calls.
FixyFlow's answer
I (Lasse) used to own a computer repair shop and spent a lot of time on admin/following up on customers, playing phone tag and getting interrupted during repairs. So I decided to do something about it, I wanted an elegant, simple solution that allows both the customer to be delighted as well as saves time and money for the service business. So I created what I like to call the "customer happiness layer" FixyFlow!
FixyFlow's answer
Next.js 15 (App Router) + TypeScript + React + Tailwind CSS on the frontend. Drizzle ORM with Postgres (Supabase) for the database.
Share your experience with using FixyFlow and Google BigQuery. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of FixyFlow yet. Be the first one to post
Processing typeDescriptionUse casesCommon databasesProcessing typesProcesses data in scheduled intervals (hours, days). High-latency but cost-efficient for large datasets.Financial reporting, trend analysis,...
Google BigQuery: Similar to Snowflake, BigQuery offers a pay-per-use model with separate charges for storage and queries. Storage costs start around $0.01 per GB per month, while on-demand queries are billed at $5 per...
You can also use BigQuery’s columnar and ANSI SQL databases to analyze petabytes of data at a fast speed. Its capabilities extend enough to accommodate spatial analysis using SQL and BigQuery GIS. Also, you can...
Recommendations tracked on public social media and blogs since March 2021.


Tracking FixyFlow since Apr 2026.
We migrated the analytics layer to Google BigQuery. Same queries that timed out in PostgreSQL now run in under 2 seconds. But not everything belongs in BigQuery — we initially moved too aggressively and actually reverted some queries... - Source: dev.to / 6 months ago
Google BigQuery - For large-scale data processing and SQL-based analysis. - Source: dev.to / 7 months ago
Data Pipelines usually read from tables that change over time. Most of these tables are stored in a data warehouse like Amazon Redshift or Google BigQuery. Rows are added or removed. Backfills happen. A column gets renamed or its... - Source: dev.to / 8 months ago
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