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Competitors17 Oct 2026

How Doram compares

Ten tools that help AI answer data questions, side by side: who builds the model, how the number is made, and who each one is for.

Doram

Checked on 17 October 2026. Every fact about each tool comes from its public website and docs. Each head-to-head post lists its sources.

Ten tools, one job

Every tool on this page helps AI answer questions about company data. Ask any of them “what was net sales last quarter?” and they all try to return one right number.

They differ on two things. Who writes the business rules, like what counts as net sales? And who writes the SQL that turns those rules into a number?

Three kinds of tool

  • Semantic layers. Your data team writes the rules as code, and the layer serves them to other tools. Cube and Honeydew work this way.
  • AI analysts. A product you ask questions in, with its own chat, dashboards and rules. Omni, Zenlytic, Veezoo, Tellius, WisdomAI and Hex work this way.
  • Context layers. A layer that learns the rules for you and feeds them to AI. ColRows and Atlan work this way, and so does Doram.

The lines blur. Most analysts now have an MCP server (a standard way for AI tools like Claude to connect), and most layers now have a chat. But the kind tells you where each one started.

Side by side

ToolWho builds the modelHow the AI gets the numberReads docs and toolsRuns in your cloud
DoramLearned, then approved by riskA compiler writes the SQLYesYes
AtlanAI agents draft, people reviewAnother engine answersDocs, as metadataA connector only
ColRowsLearned, curators approveA compiler, or checked AI SQLDocs you uploadYes
CubeYour data team, as codeA compiler writes the SQLNot foundYes
HexYour admins, in YAMLThe AI writes SQLWhile answeringSingle tenant, run by Hex
HoneydewYour data team, as codeA compiler writes the SQLWhile answeringSingle tenant on Enterprise
OmniYour data team, with an agentA compiler writes the SQLNot documentedNo
TelliusAn agent drafts with youNot statedDocs you give itYes
VeezooAI drafts, your team editsA compiler writes the SQLFiles you attachSingle tenant, in your region
WisdomAISuggested, an admin acceptsThe AI writes SQLDocs you uploadYes
ZenlyticYour team, with AI editsThe AI writes SQL, then it is checkedFiles you shareYes

“Compiler” means a program that turns a request into SQL by fixed rules, so the AI never writes the query text. Each head-to-head post gives the detail and the exceptions.

Pick a head-to-head

Doram vs AtlanAtlan is a catalog that feeds context to other AI engines. Doram learns the context and also answers the question.Read the comparison →Doram vs ColRowsBoth build the model for you. They differ in what they read and how access rules work.Read the comparison →Doram vs CubeCube is an open-source semantic layer that serves one model to every tool. Doram learns that model from how your company works.Read the comparison →Doram vs HexHex is a workspace for data teams, with notebooks and chat. Doram is the layer of approved rules that every AI reads.Read the comparison →Doram vs HoneydewHoneydew is a semantic layer your data team writes. Doram learns the layer from your company and asks your team to approve it.Read the comparison →Doram vs OmniOmni is a full BI tool whose AI works through its model. Doram is a context layer that any AI can read, with its own analyst.Read the comparison →Doram vs TelliusTellius is a full analytics platform with deep why-analysis. Doram is a context layer that any AI can read.Read the comparison →Doram vs VeezooBoth turn questions into SQL with a compiler, not a guess. They differ in where the business rules come from.Read the comparison →Doram vs WisdomAIWisdomAI guides an AI that writes SQL with reviewed context. Doram compiles the SQL from approved rules.Read the comparison →Doram vs ZenlyticZenlytic lets the AI write SQL and checks it against your model. Doram compiles the SQL from approved rules.Read the comparison →

Five questions to ask any vendor

  1. Who writes the SQL? The AI, or a program working from fixed rules? Ask what happens on a question the model does not cover.
  2. Where do the rules come from? Only the schema, or also past queries, dashboards, documents and the tools where decisions are made?
  3. Who approves a change? Is there a step where the owner of a number must say yes before it changes?
  4. Whose permissions apply? Does the tool follow your warehouse grants, or keep its own copy of the rules?
  5. Can other AI tools read the rules? Or can they only ask the vendor’s own analyst?

How we checked

We read each vendor’s website, docs, changelog and blog on 17 October 2026. Where a page and the docs disagreed, we went with the docs and said so. Where we could not find something, we wrote “we found no” or “as far as its docs show”, because a missing page is not proof that a feature is missing.

Accuracy numbers come from each vendor’s own tests. None of them were run by a third party, and none use the same questions, so we do not rank tools on them. Doram does not publish an accuracy number yet.

If we got something wrong, tell us and we will fix it.