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Knowi VS No Code Map App

Compare Knowi VS No Code Map App and see what are their differences

Knowi

Knowi is an agentic analytics platform. AI agents work inside the data layer to query SQL, NoSQL and APIs directly, join across sources without ETL, and build dashboards teams can use or embed in their own product.

Rating
0 reviews
Pricing
Free Free trial
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Alternatives Is it good?
No Code Map App

Build on-brand interactive maps complete with custom filters and call-to-action buttons. 10x lead generation. $0 monthly fee & no code required.

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0 reviews
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DaytaBrain
DaytaBrain is your AI strategy partner: it keeps strategy and execution connected, warns leaders when initiatives drift, recommends the next decision and learns from the results. The 20 to 60 hours per cycle spent on reports? Gone. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Base details

Website, pricing, platforms and company facts side by side.

Knowi
No Code Map App
Website knowi.com nocodemapapp.com
Pricing
Free Free trial Official pricing
Official pricing
Company Startup from the United States · 20 - 49 employees · 2015 —
Listed in
Analytics Product Analytics IoT Platform Business Intelligence Embedded Analytics Data Visualization Reporting & Dashboard AI Agents Agentic Analytics Analytics Dashboard Marketing Analytics +8
Maps Interactive Maps No Code

About Knowi and No Code Map App

In their own words, as submitted to SaaSHub.

Knowi
No Code Map App

Knowi is the Agentic Analytics Platform. It unifies data from anywhere, adds a governed semantic layer, and deploys AI agents that analyze, monitor, and act on live business data. Traditional BI tools bolt AI onto dashboards. Knowi was built AI-first. The semantic layer defines your metrics,...

Read more about Knowi

No description of No Code Map App yet.

Features and specs

What each product offers, as listed by its team.

Knowi 10 features
No Code Map App 5 features
  • Agents Inside the Data Layer
    AI agents connect to schemas and the query engine directly rather than sitting on top of finished dashboards, so they build queries, widgets and dashboards instead of only answering questions about ones that already exist.
  • Native NoSQL Analytics
    Query MongoDB and Elasticsearch in their own query language, including nested documents and arrays, without a BI connector or a separate flattening step.
  • Cross-Source Joins Without ETL
    Blend MongoDB, PostgreSQL, Snowflake, Databricks SQL, Trino, Salesforce and REST APIs in a single query, without first moving the data into a warehouse.
  • Semantic Layer as a Dataset Service
    Curated datasets, governed business definitions and a shared glossary the data team controls, so plain-English questions resolve against approved metrics rather than raw tables.
  • Wide Range of Integrations
    The platform connects to relational databases, NoSQL stores, cloud warehouses, SaaS APIs and files, including MongoDB, Elasticsearch, PostgreSQL, MySQL, Snowflake, Databricks SQL, Trino, BigQuery, Redshift, Salesforce and REST endpoints.
  • Real-Time Insights
    Knowi provides real-time data processing and visualization, which enables businesses to access up-to-date insights for timely decision-making.
  • Alerts and Scheduled Reporting
    Threshold and anomaly alerts routed to Slack, email or webhooks, plus scheduled PDF and CSV delivery.
  • MCP Server for AI Assistants
    A Model Context Protocol server so assistants such as Claude can query data, build widgets and create dashboards through Knowi's governed layer.
  • Flexible Deployment
    Run on Knowi Cloud, inside your own VPC, or fully on-premise.
  • No-Code Data Analytics
    Knowi offers a no-code platform that allows users to perform data analytics tasks without needing in-depth programming skills, making it accessible to data-driven teams.
  • Ease of Use
    No Code Map App offers a user-friendly interface that allows individuals without technical expertise to create and customize interactive maps quickly.
  • Time Efficiency
    The platform enables users to generate maps in a fraction of the time it would take using traditional coding methods, allowing for rapid deployment.
  • Cost-Effective
    By eliminating the need for a full development team, No Code Map App can significantly reduce the costs associated with map development.
  • Customizability
    Despite being a no-code tool, the app provides a range of customization options to fit various user needs and preferences for different map features.
  • Integration
    The app can easily integrate with other platforms and services, allowing for enhanced functionality and data sharing capabilities.

Possible disadvantages

  • Limited Functionality
    Compared to custom-coded solutions, the app might lack certain advanced features and complex functionalities that some users may require.
  • Scalability
    No Code Map App might not be suitable for very large-scale projects, as it may struggle to handle extensive data sets or multiple concurrent users effectively.
  • Dependency on the Platform
    Users are reliant on the app’s platform for updates and maintenance, which can limit control over performance and feature updates.
  • Learning Curve for Complex Features
    While the basic features are easy to use, there may still be a learning curve when it comes to implementing more complex map features or customizations.
  • Potentially Limited Support
    As with many SaaS products, customer support might be limited, potentially leading to delays in issue resolution or lack of assistance for complex queries.

Analysis

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

Knowi
No Code Map App

No analysis of Knowi yet.

Overall verdict

  • No Code Map App is a solid choice for anyone who needs to create interactive, custom maps without any programming knowledge. It offers an accessible way to turn spreadsheet data into visually appealing, shareable maps quickly.

Why this product is good

  • Requires no coding or technical skills to build custom interactive maps
  • Integrates easily with data sources like Google Sheets for quick map population
  • Offers customization options for markers, styling, and map appearance
  • Enables fast creation and sharing of maps for various use cases
  • Cost-effective alternative to hiring developers for custom mapping solutions

Recommended for

  • Small business owners wanting to display store or service locations
  • Content creators and bloggers who need embeddable maps
  • Real estate professionals showcasing property listings
  • Event organizers mapping venues or points of interest
  • Non-technical users and teams needing quick data visualization on maps

Videos

Walkthroughs and reviews on video.

Knowi 1 video + Add
No Code Map App 0 videos + Add

Knowi: End-to-End AI Analytics Platform - Architecture Overview

No No Code Map App videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Knowi
No Code Map App
100% 100%
Analytics
0% 0%
0% 0%
Maps
100% 100%
100% 100%
IoT Platform
0% 0%
0% 0%
No Code
100% 100%

Questions & Answers

As answered by people managing Knowi and No Code Map App.

Who are some of the biggest customers of your product?

Knowi's answer

Verizon Telstra Everbridge ConvergeOne NJM Insurance Volante Systems intlx Solutions Alteas Health Hometime Tata

What makes your product unique?

Knowi's answer

Knowi runs AI agents inside the data layer rather than on top of finished dashboards. The agents reach schemas and the query engine directly, which means they can build queries, widgets and dashboards, not just answer questions about ones that already exist.

That architecture comes from what Knowi was built to do: query data where it already lives. It speaks MongoDB and Elasticsearch in their own query language, including nested documents and arrays, and it joins across MongoDB, PostgreSQL, Snowflake, Databricks SQL, Trino, Salesforce and REST APIs in a single query without first moving anything into a warehouse.

Knowi also runs its own AI by default, with OpenAI and Claude available as optional integrations rather than requirements, and it deploys to cloud, your own VPC, on-premises via Docker or Kubernetes, or air-gapped.

Why should a person choose your product over its competitors?

Knowi's answer

Three practical reasons.

Your data does not have to be relational first. Most BI tools need a warehouse and an ETL pipeline before you see a chart, which means unstructured, nested and API data either gets flattened or gets left out. Knowi queries those sources natively, so the modelling work you would normally do up front becomes optional.

The AI is part of the query path, not a chat box on the side. Many platforms added a copilot that describes existing dashboards. Knowi's agents have access to the schema and the query engine, so they can create new datasets, widgets and dashboards from a question.

You control where it runs and which model touches your data. Knowi AI is the default, third-party models are optional, and deployment can be Knowi Cloud, your own VPC, on-premises, or air-gapped. Knowi is SOC 2 Type II certified, GDPR compliant, and offers a HIPAA BAA.

How would you describe the primary audience of your product?

Knowi's answer

Data, engineering and product teams at mid-market and enterprise companies whose data is spread across more than one kind of system: NoSQL alongside SQL, warehouses alongside SaaS APIs and documents.

Two buying patterns show up most often. Internal analytics teams who need governed self-service across sources without building a pipeline for every question. And product teams who need customer-facing, multi-tenant analytics embedded inside their own application with row-level access control.

By industry, the customer base skews to telecom, healthcare, manufacturing, SaaS and adtech, proptech and e-commerce. Knowi is sold through a sales team and priced per deployment rather than by public self-serve tier.

What's the story behind your product?

Knowi's answer

Knowi was founded in 2014, at the point where a lot of production data had stopped being relational. Teams were running MongoDB and Elasticsearch, and the BI tools of the day all assumed a star schema in a warehouse. Getting a dashboard meant building a pipeline first, and anything nested or semi-structured got flattened or dropped along the way.

Knowi was built the other way round: connect to the source, query it in its own language, and join across sources at query time instead of moving the data. Cross-source joins, post-query transformation and a dataset layer that data teams could govern followed from that starting point, and embedded analytics came from customers who wanted to give the same views to their own users.

The AI work is a continuation rather than a pivot. Because Knowi already owned the query path across every connected source, AI agents could be placed inside the data layer with access to schemas and the query engine, instead of being bolted onto a finished dashboard.

User comments

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