Software Alternatives, Accelerators & Startups

Google Cloud Datastore VS Supernormal

Compare Google Cloud Datastore VS Supernormal and see what are their differences

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Google Cloud Datastore logo Google Cloud Datastore

Cloud Datastore is a NoSQL database for your web and mobile applications.

Supernormal logo Supernormal

AI agent for agencies.
  • Google Cloud Datastore Landing page
    Landing page //
    2023-09-12
  • Supernormal Meeting recap
    Meeting recap //
    2026-05-08
  • Supernormal AI agents overview
    AI agents overview //
    2026-05-08

Supernormal turns client meetings into completed work, in a flash. Capture meetings with our Mac and Windows apps without a bot on the call. Then work with the AI agent to generate deliverables: pitch decks, proposals, briefs, follow-up emails, and project plans. Everything organized by project and client. Upload files for extra context, and the agent handles the work while you review and refine. Export or share a link. Built for agencies, consultants, and client-facing teams who want to stop doing and start reviewing.

Supernormal

$ Details
freemium $20.0 / Monthly
Platforms
MacOS Windows Web
Release Date
2020 January
Startup details
Country
United States
Founder(s)
Colin Treseler, Fabian Perez
Employees
20 - 49

Google Cloud Datastore features and specs

  • Scalability
    Google Cloud Datastore can automatically scale to handle large amounts of data and high read/write loads, making it suitable for applications with growing data needs.
  • Fully Managed
    As a fully managed service, Google Cloud Datastore eliminates the need for managing servers, software patches, and replication, allowing developers to focus on building applications.
  • High Availability
    Datastore provides strong consistency for reads and writes and is designed to maintain availability even in case of entire data center outages.
  • Flexible Data Model
    The schemaless nature of Datastore allows for a flexible data model that can easily adapt to changes in application requirements.
  • Integration with Google Cloud Platform
    Datastore seamlessly integrates with other Google Cloud Platform services, which simplifies the process of building end-to-end solutions.

Possible disadvantages of Google Cloud Datastore

  • Complex Query Language
    Datastore Query Language (GQL) can be less intuitive compared to SQL, which may pose a learning curve for developers accustomed to traditional relational databases.
  • Eventual Consistency for Queries
    While Datastore offers strong consistency for entity lookups by key, queries must be specifically configured for strong consistency, otherwise they might return eventually consistent data.
  • Cost
    As usage scales, costs can increase, particularly for applications with high write loads or those requiring many transactional operations, which might be a consideration for budget-conscious projects.
  • Limited Relational Capabilities
    Datastore is a NoSQL database, which means it lacks some of the relational features like joins and complex transactions that developers might expect from a SQL database.
  • Index Management
    Managing indexes can become complex, as every query in Datastore requires a corresponding index, and poorly planned indexes can lead to increased storage costs and slower query performance.

Supernormal features and specs

  • Autonomous AI agent for deliverables
    Prompt the agent to create slide decks, briefs, spreadsheets, documents, and images. It builds its own task list and executes work autonomously based on your meeting context.
  • No-bot meeting recording
    The notetaker captures meetings using system audio. No AI bot joins your calls.
  • Project-based organization
    Organize all meetings by client or project. The agent works within individual project context to produce project-specific outputs.
  • File upload for context
    Upload local files from your computer to give the agent precise context about your client work, brand guidelines, or project requirements.
  • Enterprise-grade security
    SOC 2 certified with encryption in-transit and at-rest, secure backups, and strict access permissions.

Analysis of Supernormal

Overall verdict

  • SuperNormal is considered a good platform for teams seeking to enhance their remote meeting experiences. Its focus on improving communication and documentation efficiency makes it a strong contender in the productivity software space.

Why this product is good

  • SuperNormal, a platform known for enhancing productivity and communication in remote teams, is often praised for its user-friendly interface and robust features such as automatic meeting transcripts and smart summaries. The use of AI to streamline remote work processes makes it a valuable tool for modern digital workplaces.

Recommended for

    SuperNormal is recommended for remote teams, project managers, and companies looking for effective solutions to manage meetings and collaboration in a streamlined manner. It is especially useful for teams that want to leverage AI to reduce manual work in capturing and organizing meeting details.

Google Cloud Datastore videos

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Supernormal videos

Supernormal agents turn your meetings into completed work

Category Popularity

0-100% (relative to Google Cloud Datastore and Supernormal)
Databases
100 100%
0% 0
Productivity
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Web App
0 0%
100% 100

Questions & Answers

As answered by people managing Google Cloud Datastore and Supernormal.

What's the story behind your product?

Supernormal's answer:

Supernormal was founded in 2020 by Colin Treseler and Fabian Perez, who believed work could be betterโ€”less grind, more flow. They started with an AI notetaker that helped thousands of teams capture meetings effortlessly and are now building tools that amplify individual work superpowers, making the super, normal.

Who are some of the biggest customers of your product?

Supernormal's answer:

  • Salesforce
  • GitHub
  • The Guardian
  • Pinterest
  • Forbes
  • Replay

How would you describe the primary audience of your product?

Supernormal's answer:

Supernormal is built for professionals who spend much of their time in meetings and value speed, structure, and reliability. From founders and consultants to sales and product teams, our users want an AI tool that saves time, improves collaboration, and speeds up deliverables.

What makes your product unique?

Supernormal's answer:

No bot joins your meetings. Supernormal runs on your Mac or Windows desktop and uses system audio detection - it captures when your mic is active. Your clients never see a notetaker bot in the participant list. You stay in complete control of what gets recorded. Then, the real difference: Supernormal doesn't just give you meeting notes. It generates completed client work. Turn that strategy call into a finished pitch deck. That brainstorming session into a campaign brief. That RFP review into a response draft. You get deliverables ready to polish and send, not transcripts to rewrite from scratch.

Which are the primary technologies used for building your product?

Supernormal's answer:

See our website for information.

Why should a person choose your product over its competitors?

Supernormal's answer:

Supernormal captures meetings without a bot on the call, then turns those conversations into completed client work. While other tools stop at meeting notes, Supernormal generates the deliverables you actually need: pitch decks, proposals, briefs, and follow-up emails. It works across Google Meet, Zoom, and Microsoft Teams, and offers enterprise-grade security including SOC 2, HIPAA, and GDPR compliance. Built for agencies and client-facing teams who want to stop doing repetitive work and start reviewing polished deliverables.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Datastore and Supernormal

Google Cloud Datastore Reviews

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Supernormal Reviews

3 Best Alternatives to Otter.ai
Supernormal is the last of the three AI powered alternatives to Otter. Supernormal uses AI to record, transcribe and generate notes from meetings in Google Meet.

Social recommendations and mentions

Based on our record, Google Cloud Datastore should be more popular than Supernormal. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Datastore mentions (7)

  • Using Google Cloud Firestore with Django's ORM
    A long time ago, a fork of Django called โ€œDjango-nonrelโ€ experimented with the idea of using Djangoโ€™s ORM with a non-relational database; what was then called the App Engine Datastore, but is now known as Google Cloud Datastore (or technically, Google Cloud Firestore in Datastore Mode). Since then a more recent project called "django-gcloud-connectors" has been developed by Potato to allow seamless ORM integration... - Source: dev.to / about 2 years ago
  • How to deploy flask app with sqlite on google cloud ?
    In that case use Cloud Datastore (aka Firestore in Datastore Mode). It's a NoSQL db that was initially targeted just for GAE (you needed to have a GAE App even if empty to use it) but that requirement has been relaxed. Source: over 3 years ago
  • Is Cloud Run a good choice for a portfolio website?
    As u/SierraBravoLima said - If you don't really need containerization, you can go with Google App Engine (Standard). If you need to store data, GAE will work with cloud datastore which has a large enough free tier. Source: about 4 years ago
  • Help! Difference between native and datastore
    Datastore mode had its start in App Engine's early days (launched in 2008), where its Datastore was the original scalable NoSQL database provided for all App Engine apps. In 2013, Datastore was made available all developers outside of App Engine, and "re-launched" as Cloud Datastore. In 2014, Google acquired Firebase for its RTDB (real-time database). Both teams worked together for the next 4 years, and in 2017,... Source: over 4 years ago
  • I'm a dev ID 10 T please help me
    Database: datastore should be very cheap, or you could just output as csv text and copy into Google Sheets (free!). Source: over 4 years ago
View more

Supernormal mentions (3)

  • AI note taking tools
    Quick question, for the people who don't use the various ai note taker tools (ai that takes notes in meetings for you) such as https://fireflies.ai or https://supernormal.com or even https://otter.ai. Source: about 3 years ago
  • Ai note takers
    Well I've seen some ai tools for taking notes like https://supernormal.com/ , so I was wondering if any one has used them. My goal would be just to not have to worry about writing notes during a meeting. Source: about 3 years ago
  • Hiring / searching for culture, async collaboration and remote support
    Looks like a great tool. Do you know how it's different from Supernormal? Source: about 5 years ago

What are some alternatives?

When comparing Google Cloud Datastore and Supernormal, you can also consider the following products

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.

Datomic - The fully transactional, cloud-ready, distributed database

Fireflies.ai - Record, transcribe and search your calls

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

Grapevine Surveys - Grapevine is an online survey tool for employee surveys.