Knowi vs Domo: same all-in-one shape, different meter.
Both platforms bundle connectors, transformation, dashboards, alerts and AI. The differences are how you are billed, where the data runs, who rebuilds the pipeline logic if you switch, and who owns the company you are signing with.
Every Domo figure on this page links to its source, checked 18 August 2026.
You want the all-in-one shape on a flat annual platform fee, your data spans SQL, NoSQL and APIs you would rather query in place than load, you need on-premises or VPC deployment, and you want the Magic ETL and Beast Mode rebuild done by the vendor during onboarding.
You are staying: nothing has to be rebuilt, your pipelines, cards and workflows keep running. You rely on Domo App Studio or Domo Workflows, which have no import path into any other platform, or you are comfortable with credit-based consumption billing and the roadmap under Progress Software.
Things to know before you decide
- Domo charges by consumption, not by seat. Credits are drawn down by storing data, updating tables, running workflows and ML inference, and users are unlimited. Costs climb without anyone new logging in. 84% of Domo's ARR is on this model. Knowi is a flat annual platform fee scoped to your deployment, with no per-query or per-refresh meter.
- Domo's median contract is about $50K a year. Vendr's benchmark across 91 Domo purchases ranges from $10,920 to $175,245. Buyers who benchmark an alternative before renewal save around 13% on average, whether they switch or stay. Knowi pricing is quoted per deployment rather than published, so treat any flat-fee comparison as directional until you have a number.
- Domo is changing owner. On 22 July 2026 Domo agreed to sell substantially all of its assets to Progress Software for $400 million in cash, closing by 30 November 2026 subject to regulatory approval. Domo reported 2,400+ customers in its fiscal 2026 filing and gross retention above 88% on its Q4 FY26 call. The open question is the roadmap under a new owner, and your renewal terms after the close.
- Nothing imports Magic ETL or Beast Modes. Both are proprietary. Magic ETL flows export as JSON; Beast Mode calculations are recreated as calculated fields. No vendor offers a conversion utility. On Knowi that rebuild is done by Knowi during onboarding for annual contracts, with Domo running in parallel until your team signs off.
- Domo stores your data; Knowi queries it in place. Domo's credit model meters storing data and updating tables, so the architecture assumes data is loaded into Domo. Knowi connects natively to 70+ sources, including MongoDB, Elasticsearch, Cassandra, REST APIs and SQL, and joins across them at query time. Domo does publish MongoDB and Elasticsearch connectors; the difference is ingest-and-store versus query-in-place, not whether the connector exists.
- Deployment. Domo is cloud SaaS. Knowi runs on its managed cloud, in your VPC, on-premises via Docker or Kubernetes, or air-gapped, with SOC 2 Type II attested controls, HIPAA-aligned controls with a BAA available, and Knowi AI as the default model so inference is not routed to a third-party LLM unless you enable one.
- Where Knowi is not the answer. There is no like-for-like equivalent for Domo App Studio or Domo Workflows: Knowi Apps are operational apps built by Knowi on your governed data, so those workflows get rebuilt, not moved. Knowi is sales-led with no self-serve tier, and Domo's installed base is larger: 2,400+ customers reported in its fiscal 2026 filing.
Knowi vs Domo, capability by capability
Domo figures: Domo's pricing page, Domo's fiscal 2026 annual filing and Q4 FY26 earnings call, the Progress Software announcement of 22 July 2026, and Vendr's marketplace benchmark. Sources are linked from the eight-platform Domo comparison.
Most Domo alternatives do not remove the meter.
If unpredictable consumption billing is why you are reading this, price the whole stack, not the BI line.
- All-in-one, so you are not assembling a warehouse, an ETL tool, a viz layer and alerting glue
- Flat annual platform fee, no consumption meter
- Magic ETL and Beast Modes rebuilt by Knowi during onboarding
- Domo runs in parallel until your team signs off
- On-premises, VPC or air-gapped when the security review requires it
- No like-for-like equivalent for Domo App Studio or Domo Workflows; those get rebuilt as Knowi Apps, not migrated
- Sales-led, with no self-serve tier
- Domo's installed base is larger, 2,400+ customers on its own filing
- If you are staying on Domo, there is no rebuild at all, and that is a real advantage
From a team that ran the trial
"My team tested various data visualization tools like PowerBI, Domo, Sisense and Knowi emerged as the top choice for its speed in creating useful dashboards and ease of use for non-technical users. While we selected Knowi as a viz tool, I'm also happy we did so from a data engineering perspective. Knowi's architecture models data thoughtfully, which I'd credit for enabling a collection of elegant features."
What moves, piece by piece
Your raw data already lives in your own sources. What has to be recreated is the logic on top of it.
Questions Domo teams ask before the assessment
Why does our Domo bill go up when nobody new has logged in?
Because Domo meters credits, not seats. Storing data, updating tables, running workflows and ML inference all draw from a pre-purchased pool, so the bill follows activity. Adding refresh schedules or a new AI feature can raise it with the same headcount. Knowi's flat annual platform fee does not move with query volume or refresh frequency.
Can Knowi import our Magic ETL dataflows and Beast Modes?
Not automatically, and neither can anyone else: both are proprietary and no vendor offers a conversion utility. Magic ETL flows export as JSON definitions, and Beast Mode calculations are recreated as calculated fields. For annual contracts Knowi does that rebuild during onboarding, you validate the outputs against Domo, and Domo stays live until your team signs off.
Domo already has MongoDB and Elasticsearch connectors. What is different about Knowi's?
The direction of the data. Domo's connectors load data into Domo, where storing it and refreshing it consumes credits. Knowi queries MongoDB with aggregation pipelines and Elasticsearch with its query DSL where they sit, keeps nested JSON intact, and joins the results with SQL and REST API sources in one query. You can still choose to store a dataset in Knowi when that is the right call.
We use Domo App Studio. Is there an equivalent in Knowi?
Not a like-for-like one. Knowi Apps are operational apps that Knowi builds for you on your governed datasets, hosted on their own URL with their own sign-in, actions and memory. An App Studio app is not imported; you describe the workflow and Knowi rebuilds it. If App Studio or Domo Workflows are central to how you run, weigh that rebuild honestly.
Can we run Knowi on-premises, which Domo does not offer?
Yes. Knowi deploys on its managed cloud, in your VPC, on-premises via Docker, Kubernetes or a native install, or fully air-gapped. On-premises customers run the full platform, all agents and their own LLM, so data does not leave your environment. See deployment options.
Is Knowi cheaper than Domo?
We will not claim that without your numbers. Domo's median is about $50K a year on Vendr's 91-purchase benchmark, with a wide range, and Knowi is quoted per deployment rather than published. Bring your current Domo contract and usage to the assessment and we will be straight about the comparison, including where a flat fee is not the cheaper option.
Is this page biased?
We build a competing platform, so yes. Every Domo claim traces to Domo's own pages, its filings, the Progress announcement or Vendr's benchmark, and the page names what Domo does that Knowi does not replicate. If you want the wider field, read the Domo alternatives guide or the eight-platform comparison.
Bring your Domo contract to the call.
A free assessment of your Domo instance: what moves easily, what needs work, and what it costs. Useful whether you switch or stay.
Domo runs in parallel until your team signs off. No big-bang weekend.
Knowi and Domo solve the same problem with opposite architectures. Domo ingests your data into its cloud platform and transforms it there with Magic ETL; Knowi queries your SQL, NoSQL, and API sources where they live and joins them at query time, with no required warehouse or ingestion step.
Quick Summary (TL;DR)
- Domo is a cloud data platform: data is ingested into Domo datasets, transformed in Magic ETL, and visualized in cards, with 1,000+ connectors feeding the pipeline.
- Knowi is a cross-source analytics platform: it queries databases and APIs directly, including native NoSQL sources like MongoDB and Elasticsearch, and joins them without ETL.
- Both platforms have invested seriously in AI agents; Domo ships Agent Catalyst for building workflow agents, while Knowi runs agents inside the data layer with its own AI, including a Private AI option for on-prem deployments.
- Domo is cloud SaaS only; Knowi deploys in Knowi’s cloud, your VPC, or fully on-premise.
- Pricing models differ sharply: Domo meters consumption credits, while Knowi charges a flat annual platform fee.
- Context for 2026 evaluations: Progress Software agreed on July 22, 2026 to acquire Domo’s platform business for $400 million, with closing expected by November 30, 2026, which makes roadmap and renewal terms worth getting in writing. If Microsoft is also on the shortlist, our Domo vs Microsoft Fabric vs Power BI comparison covers that path.
Table of Contents
- Architecture: Ingest-and-Transform vs Query-in-Place
- AI: Both Serious, Differently Placed
- Head-to-Head Comparison
- Pricing: Credits vs Flat
- Embedded Analytics: Domo Everywhere vs Knowi
- Migrating from Domo to Knowi
- Where Domo Fits Best
- Where Knowi Fits Best
- Which Should You Choose?
- Frequently Asked Questions
Architecture: Ingest-and-Transform vs Query-in-Place
Domo’s model centralizes everything. Connectors pull data into Domo’s cloud on refresh schedules, Magic ETL transforms it into derived datasets, and Beast Mode adds calculated fields on top. It is a genuinely complete pipeline, and for teams without data infrastructure it replaces several tools at once.
Knowi inverts this. Queries run against your sources directly, whether that is PostgreSQL, MongoDB, Elasticsearch, Snowflake, or a REST API, and cross-source joins happen at query time. Nested JSON is handled natively rather than flattened on ingest. The practical difference shows up in freshness (query-time data vs refresh schedules), in cost (no metered ingestion), and in migration weight (no staged copies of your data to maintain).
The honest trade: Domo’s centralized model gives business users a very polished, governed workspace once data is in. Knowi’s federated model suits teams whose data is spread across systems that will not consolidate, especially where NoSQL sources are first-class citizens rather than connector afterthoughts.
AI: Both Serious, Differently Placed
Domo’s AI investment is real. Agent Catalyst lets teams build and govern autonomous agents on Domo’s platform, and AI reaches into the pipeline itself with features like the Text Generation tile in Magic ETL and AI Agent Tasks in Workflows. If your data already lives in Domo, its AI works well on it.
Knowi’s agents operate inside the data layer: they query live sources, build dashboards and reports from natural language, and answer questions across joined sources without a semantic modeling prerequisite. Two differences matter for buyers. Knowi’s NLQ runs on unmodeled, cross-source data, so the AI is useful before a modeling project, not after. And Knowi offers Private AI, running the AI inside your environment for on-prem and VPC deployments, which cloud-only platforms cannot match for regulated workloads.
Head-to-Head Comparison
| Dimension | Domo | Knowi |
|---|---|---|
| Data architecture | Ingests data into Domo cloud datasets on refresh schedules; transforms via Magic ETL | Queries SQL, NoSQL, and REST APIs in place; cross-source joins at query time, no ETL required |
| NoSQL support | Via connectors that load into Domo datasets | Native queries against MongoDB, Elasticsearch, Cassandra, and other NoSQL sources, including nested JSON |
| AI capabilities | Agent Catalyst for building workflow agents; AI features across Magic ETL and Workflows | Agents in the data layer; NLQ on unmodeled cross-source data; dashboard and report generation from natural language |
| AI data privacy | Runs on Domo’s cloud platform | Private AI option: AI runs inside your environment on on-prem and VPC deployments |
| Deployment | Cloud SaaS | Knowi cloud, customer VPC, or on-premise |
| Embedded analytics | Domo Everywhere | White-label, multi-tenant embedded analytics with per-tenant isolation |
| Pricing model | Consumption credits metered on refreshes, transforms, storage, and AI usage; median deals around $50K/yr per Vendr, enterprise $250K+ | Flat annual platform fee, typically $20K to $80K; no per-query or per-refresh metering |
| Company status (July 2026) | In a sale process; purchase agreement required by July 31, 2026 under lender forbearance | Independent and privately held |
You picked all-in-one for a reason. Keep it.
Moving off one platform should not mean assembling four tools to replace it. Knowi keeps connection, modelling, dashboards, alerting, embedding, and AI in one place, and connects natively to SQL, NoSQL, REST APIs, and documents without an ETL layer in between.
A comparison table only gets you so far. A 30-minute session on your actual sources tells you whether the join you care about works.
Pricing: Credits vs Flat
Domo meters consumption: refreshes, dataflow runs, storage, and AI usage draw from a pre-purchased credit pool, which makes bills track usage patterns rather than headcount. Our Domo pricing guide covers the mechanics and benchmark contract values in detail.
Knowi prices the platform flat for the year, scoped to your deployment. Neither model is universally cheaper: consumption can favor small, quiet deployments, while flat pricing favors the always-on, heavily scheduled usage that mature BI programs grow into. The difference buyers feel most is forecastability.
Embedded Analytics: Domo Everywhere vs Knowi
Both platforms treat customer-facing analytics as a first-class product, which is rarer than it sounds in this market. Domo Everywhere lets you publish cards and dashboards into external portals and applications, with the same ingestion pipeline underneath, and it inherits Domo’s polish for business-facing consumers.
Knowi’s embedded model is built around white-label, multi-tenant deployments: per-tenant data isolation, full UI theming so the analytics read as your product, and the same cross-source queries serving every tenant without a per-tenant data pipeline. For SaaS companies, the pricing model difference compounds here: embedded usage on consumption credits means your customers’ refresh activity meters your bill, while a flat platform fee makes per-customer analytics costs predictable as you scale.
The practical test for either platform: ask what it takes to onboard tenant number 200. If the answer involves 200 dataset copies or 200 pipelines, that is the real cost of the embed story.
Migrating from Domo to Knowi
The move follows the same shape as any Domo exit, covered fully in our Domo migration guide: datasets export via Domo’s API, while Magic ETL and Beast Mode logic gets rebuilt. The difference with Knowi as the destination is what the rebuild looks like.
Because Knowi joins live sources at query time, a large share of Magic ETL flows do not get rebuilt tile by tile; they get replaced by a single cross-source query against the original systems. Beast Mode calculations become Cloud9QL expressions or AI-generated queries, and Knowi runs migrations as part of onboarding rather than as a paid services engagement. Teams typically parallel-run their top dashboards on live sources within the first weeks, which is the honest way to validate the switch before a renewal decision.
Where Domo Fits Best
Domo remains a strong choice for business-led teams that want one cloud workspace for everything: ingestion, transformation, dashboards, apps, and workflows, with a huge connector library and a polished user experience. Organizations already invested in Magic ETL pipelines and Domo’s app ecosystem get real compounding value from the platform. Our full Domo review covers its strengths in depth.
Where Knowi Fits Best
Knowi fits teams whose data will not consolidate into one cloud: SaaS companies embedding white-label analytics in their product, teams running MongoDB or Elasticsearch alongside SQL, and regulated organizations that need analytics and AI deployed inside their own environment. If you are evaluating an exit from Domo specifically, our Domo migration guide maps what moves and what gets rebuilt.
Which Should You Choose?
Stay on Domo, or wait out the sale, if you are deeply invested in Domo’s app ecosystem and workflows, your credit consumption is stable and governed, and your renewal lands after the ownership question resolves.
Choose Knowi if your data spans SQL, NoSQL, and APIs that will not consolidate, you embed analytics in a product, you need AI and analytics deployable inside your own environment, or credit unpredictability is the reason you are looking. Bring your renewal date: the evaluation is fastest when it runs against your real sources.
Frequently Asked Questions
Is Knowi a direct replacement for Domo?
For dashboards, cross-source analytics, embedded use cases, and AI-driven reporting, yes. Domo’s app-building and workflow automation features do not have one-to-one Knowi equivalents, so teams using those should scope that gap explicitly.
Does Knowi require moving my data like Domo does?
No. Knowi queries your databases and APIs where they live and joins sources at query time. There is no required ingestion step, warehouse, or scheduled copy of your data.
How do Knowi and Domo handle MongoDB differently?
Domo loads MongoDB data into Domo datasets through connectors, flattening it on ingest. Knowi queries MongoDB natively, including nested documents, and can join the results directly with SQL and API sources.
Do both platforms have AI agents?
Yes. Domo’s Agent Catalyst builds and governs agents on its cloud platform, and Knowi runs agents inside the data layer with its own AI. Knowi additionally offers Private AI for on-prem and VPC deployments where data cannot leave the environment.
How does Knowi pricing compare to Domo pricing?
Domo meters consumption credits, with median contracts around $50,000 per year in Vendr’s benchmark data and enterprise deals well above that. Knowi charges a flat annual platform fee, typically $20,000 to $80,000, with no usage metering.
Can Knowi be deployed on-premise?
Yes. Knowi deploys in Knowi’s cloud, in your VPC, or fully on-premise, including its Private AI capability. Domo is available as cloud SaaS.