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Knowi VS Modify

Compare Knowi VS Modify 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.

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0 reviews
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Free Free trial
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Modify

The modern publishing workflow for software teams

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BoldDesk
BoldDesk is a powerful autonomous AI platform that helps businesses deliver faster, smarter customer support from a single workspace. sponsored
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Base details

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

Knowi
Modify
Website knowi.com modifyhq.com
Pricing
Free Free trial 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
Startups SaaS Publishing Developer Tools Productivity +2

About Knowi and Modify

In their own words, as submitted to SaaSHub.

Knowi
Modify

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 Modify yet.

Features and specs

What each product offers, as listed by its team.

Knowi 10 features
Modify 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.
  • No-code website modifications
    Modify allows users to make changes to their websites without needing to write code, making it accessible for non-developers who want to customize their web presence quickly.
  • Easy A/B testing and personalization
    The platform enables users to run A/B tests and personalize website content for different audiences without requiring developer involvement, speeding up optimization efforts.
  • Quick deployment
    Changes can be deployed rapidly through Modify's interface, bypassing the traditional development cycle and reducing time-to-market for website updates and experiments.
  • Visual editor
    Modify provides a visual editor that lets users point-and-click to make changes on their site, making it intuitive and reducing the learning curve for new users.
  • No impact on site codebase
    Since modifications are applied as an overlay rather than directly changing the source code, the original codebase remains clean and unaffected, reducing the risk of breaking existing functionality.

Possible disadvantages

  • Limited awareness and community
    Modify is a relatively niche tool with a smaller user base compared to established competitors like Google Optimize or Optimizely, which means fewer community resources, tutorials, and third-party integrations.
  • Performance concerns
    Applying modifications via a third-party script layer can introduce additional page load time or cause flickering effects as changes are rendered on top of the original page content.
  • Limited customization depth
    While the no-code approach is convenient for simple changes, more complex modifications or deeply integrated features may still require developer intervention, limiting what can be achieved through the platform alone.
  • Dependency on third-party service
    Relying on Modify means your website changes are dependent on their service uptime and continuity. If the service goes down or shuts down, applied modifications could be lost.
  • Potential SEO implications
    Client-side modifications applied via JavaScript overlays may not be fully recognized by search engine crawlers, which could lead to discrepancies between what users see and what gets indexed.

Analysis

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

Knowi
Modify

No analysis of Knowi yet.

Overall verdict

  • Modify (modifyhq.com) is a solid choice for marketing teams that want to personalize website content dynamically without heavy engineering support. It's particularly strong for conversion rate optimization and ABM-style personalization, though it may be overkill for very small sites with low traffic.

Why this product is good

  • Allows real-time website personalization based on visitor attributes like UTM parameters, referral source, location, or ad campaign
  • No-code / low-code editor makes it accessible to marketers without developer resources
  • Integrates with common ad platforms and CRMs to tailor messaging to specific audience segments
  • Useful for account-based marketing (ABM) campaigns by customizing landing pages for target accounts
  • Provides analytics to measure the impact of personalized content on conversion rates
  • Faster iteration cycle for A/B testing and content variation compared to manual dev-driven changes

Recommended for

  • Marketing teams running paid ad campaigns who want tailored landing pages per audience segment
  • B2B companies doing account-based marketing (ABM) needing personalized experiences for target accounts
  • Growth and conversion optimization teams looking to increase landing page conversion rates
  • Companies without large engineering teams who need a no-code personalization solution
  • Mid-to-large businesses with sufficient traffic to justify investment in personalization tools

Videos

Walkthroughs and reviews on video.

Knowi 1 video + Add
Modify 0 videos + Add

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

No Modify 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
Modify
100% 100%
Analytics
0% 0%
0% 0%
SaaS
100% 100%
100% 100%
IoT Platform
0% 0%
0% 0%
Productivity
100% 100%

Questions & Answers

As answered by people managing Knowi and Modify.

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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