T-NEX provider register

Analysis tools for data teams and reporting development

A one-off query is to become a report that a second analyst can also maintain. Have them change a KPI and recalculate the result with the original data version.

Publisher: T-NEX GmbHResearch: Sources and selection criteria disclosed
Selection test for tools for data teams based on data model, analysis, report.
Schematic illustration of selection and implementation

Prepare the selection

Can a report be recalculated with the same data version?

Give the providers the same sample report and the same description of your data. Check the result, maintenance effort and responsibilities.

T-NEX publishes this register. The company profiles link to their sources. Selection and counting method

21 specialist profiles and the additional offer from T-NEX

22 of 22 entries

Publisher's offer first · Other entries alphabetical

T-NEX

Publisher’s own offer

Dynamic AI Reporting · Custom analysis

Data teams can try T-NEX on a recurring business question and check the dashboard it produces against an existing analysis. A documented data version makes handover within the team easier.

Example question Can a second person reproduce the value from the same inputs and filter rules?

Tools for data teams

Alteryx

Auto Insights

View offer ↗

Auto Insights examines structured transaction data and presents the results as texts and graphics. The provider also describes methods for detecting anomalous values. Anyone trying out a report on revenue or costs should include known variances and their actual explanation as control cases in the analysis.

Assessment: Specialist areas with repeatable analyses of transaction data

Suitable tasks
Variance reports; Commented KPIs; Anomalous values
Data and integration
Structured transaction data
AI functions
Create reports / charts; Draft comments; Detect anomalies
Operating model
Clarify provision and data region with the provider.
Pricing basis
Clarify price and scope of services with the provider.
Check before selecting
Distinguish causes confirmed by subject-matter experts from statistical correlations.
Further documented offers and product pages

Tools for data teams

Basedash Inc.

Basedash

View offer ↗

Basedash combines data connection, KPI definitions and natural-language analysis. According to the provider, users can generate charts or dashboards from a question and view the underlying SQL query. Regular analyses are also provided for. A suitable test case is a KPI that is to be calculated identically in several teams.

Assessment: Teams with shared KPIs and a need for self-service analyses

Suitable tasks
Voice queries; Dashboard creation; Recurring analyses
Data and integration
Connected sources and the provided warehouse
AI functions
Questions in natural language; Create reports / charts
Operating model
Clarify provision and data region with the provider.
Pricing basis
Clarify price and scope of services with the provider.
Check before selecting
Check definitions, access limits and the output of scheduled reports using your own example.

Tools for data teams

bipp Analytics

bipp

View offer ↗

bipp combines a modelling layer with an SQL editor, a visual data explorer and dashboards. Scheduled delivery and notifications are also offered. The platform is of interest to teams that want to define KPIs centrally from a technical point of view and release them for use by several specialist areas.

Assessment: Companies with an SQL data basis and several report recipients.

Suitable tasks
KPI model; Distribution of dashboards
Data and integration
Connected databases and modelled queries.
AI functions
Not documented as a function in the sources consulted. This does not mean that no AI is offered.
Operating model
Clarify the operating form for the chosen output.
Pricing basis
Check the licence scope and terms with the provider.
Check before selecting
How are changes to the data model tested before dependent reports are updated?
Primary sources · checked on 31.10.2026
bipp Analytics · bipp

Tools for data teams

Caspio

Caspio Web Dashboards

View offer ↗

Caspio enables the construction of database-backed web dashboards without full custom programming. This may suit teams that want to provide an operational analysis together with their own web application. The underlying data model must be suitable for the reporting questions.

Assessment: Departments building their own data application with reporting.

Suitable tasks
Web dashboards; Internal data applications
Data and integration
Data provided for the Caspio application.
AI functions
Not documented as a function in the sources consulted. This does not mean that no AI is offered.
Operating model
Clarify the operating form for the chosen output.
Pricing basis
Check the licence scope and terms with the provider.
Check before selecting
How are roles and views separated for internal and external readers?
Primary sources · checked on 31.10.2026
Caspio · Caspio Web Dashboards

Tools for data teams

Cube Dev

Cube Agentic Analytics

View offer ↗

Cube Dev connects a semantic layer for business KPIs with analysis agents. The functions introduced under the name D3 are now offered under Cube. For a comparison, a KPI calculated across several tables is recommended. This shows how a central definition can be used in different analyses.

Assessment: Data teams with their own KPI model

Suitable tasks
KPI models; Dialogue-based analysis
Data and integration
Data sources behind the Cube semantic model
AI functions
Questions in natural language
Operating model
Clarify provision and data region with the provider.
Pricing basis
Clarify price and scope of services with the provider.
Check before selecting
Check model maintenance, release of changes and the distinction from the financial planning tool of the same name.
Primary sources · checked on 31.10.2026
Cube Agentic Analytics | Provider's product information

Tools for data teams

DataCamp

DataLab AI Assistant

View offer ↗

The DataLab assistant supports analyses in a working environment for data tasks. Among other things, it can write SQL or Python for a question and create charts. This is suitable for teams that develop analyses in a notebook and want to verify the proposed calculations themselves before passing them on.

Assessment: Analysts and business users with notebook experience

Suitable tasks
Notebook analyses; Data queries; Charts
Data and integration
Data sources connected to DataLab
AI functions
Questions in natural language; Create reports / charts
Operating model
Clarify provision and data region with the provider.
Pricing basis
Clarify price and scope of services with the provider.
Check before selecting
Check connections and the generated analysis code against a known result.
Primary sources · checked on 31.10.2026
DataLab AI Assistant | Provider's product information

Tools for data teams

Dataiku

Dataiku DSS Dashboards

View offer ↗

Dashboards in Dataiku DSS serve to share results from data projects with other analysts and business users. According to the documentation, full project access is not required for this in every case. The release may only include the content intended for the group of recipients.

Assessment: Organisations with Dataiku data projects already in operation.

Suitable tasks
Sharing analysis results; Departmental dashboards
Data and integration
Analysis objects and data within a DSS project.
AI functions
Not documented as a function in the sources consulted. This does not mean that no AI is offered.
Operating model
Clarify the operating form for the chosen output.
Pricing basis
Check the licence scope and terms with the provider.
Check before selecting
Which project results and detailed data become visible with the respective dashboard?
Primary sources · checked on 31.10.2026
Dataiku · Dataiku DSS Dashboards

Tools for data teams

Datameer

Notebook AI

View offer ↗

In Datameer, users can formulate analysis questions in a notebook and have them translated into SQL. Individual conversation threads help to keep different investigations of the same data set apart. For a pilot, an analysis with several filter conditions is a good choice, where the specialist team has already calculated the result independently.

Assessment: Data teams developing SQL analyses in the notebook

Suitable tasks
Queries in the notebook; Preparing SQL analyses
Data and integration
Data sets examined in the Datameer notebook
AI functions
Questions in natural language
Operating model
Clarify provision and data region with the provider.
Pricing basis
Clarify price and scope of services with the provider.
Check before selecting
Check how filters, aggregations and data references appear in the generated SQL.
Primary sources · checked on 31.10.2026
Notebook AI | Provider's product information

Tools for data teams

Datasparc

DBHawk

View offer ↗

DBHawk combines database access with an SQL editor, query tools and reporting. The provider describes the conversion of natural-language questions into SQL. For companies, it is important who may run queries, save results and make them accessible as a dashboard.

Assessment: Database teams with reporting obligations and differentiated access rights.

Suitable tasks
SQL reports; Database dashboards
Data and integration
Database systems supported by DBHawk access.
AI functions
Questions in natural language
Operating model
Clarify the operating form for the chosen output.
Pricing basis
Check the licence scope and terms with the provider.
Check before selecting
How are generated queries checked and production databases protected from load peaks?
Primary sources · checked on 31.10.2026
Datasparc · DBHawk

Tools for data teams

Deepnote

Deepnote

View offer ↗

Deepnote is a shared notebook environment for analyses. Data teams can access warehouses and databases, discuss work steps and share results with others. For recurring analyses, it is relevant whether queries, calculations and access rights remain traceable over the lifecycle of a project.

Assessment: Analysts and data scientists with jointly maintained analyses

Suitable tasks
Sharing analysis projects; Reusable KPI analysis
Data and integration
Connected warehouses, databases and lakehouses
AI functions
Not documented as a function in the sources consulted. This does not mean that no AI is offered.
Operating model
Clarify provision and data region with the provider.
Pricing basis
Clarify price and scope of services with the provider.
Check before selecting
Check the sharing of results and the rights to the underlying sources separately.
Primary sources · checked on 31.10.2026
Deepnote | Provider's product information

Tools for data teams

Exploratory

Exploratory Desktop

View offer ↗

Exploratory Desktop combines data preparation, statistical analysis and report creation in one editable analysis workflow. The work steps remain linked to the resulting charts and dashboards. For recurring reports, it is relevant whether a new data version can run through the entire workflow reproducibly with the same definitions.

Assessment: Analysts who combine business reports with statistical analyses

Suitable tasks
Reproducible data analyses; Statistical reports; Dashboards
Data and integration
Data in the Exploratory analysis workflow
AI functions
Not documented as a function in the sources consulted. This does not mean that no AI is offered.
Operating model
Desktop application. Check the suitable publishing variant separately.
Pricing basis
Clarify price and scope of services with the provider.
Check before selecting
Clarify publishing, scheduling and collaboration in the intended operation.
Primary sources · checked on 31.10.2026
Exploratory Desktop | Provider's product information

Tools for data teams

Fabi.ai

Analyst Agent

View offer ↗

The Analyst Agent from Fabi.ai generates SQL and Python for analyses on connected sources. Analyses can be developed further in a shared working environment. For teams with their own data engineering, the underlying code is therefore part of the specialist and technical review alongside the answer.

Assessment: Analysis and data teams with jointly used working versions

Suitable tasks
Analytical business questions; SQL and Python analyses
Data and integration
Company data connected to Fabi
AI functions
Questions in natural language
Operating model
Clarify provision and data region with the provider.
Pricing basis
Clarify price and scope of services with the provider.
Check before selecting
Check generated code and results before automated reuse.
Primary sources · checked on 31.10.2026
Analyst Agent | Provider's product information

Tools for data teams

Knack

Knack Reports

View offer ↗

Knack offers reports and dashboards for applications built on its no-code platform. The reporting model is based on the records managed there. Teams should check in advance which views are to be connected to existing work steps or client portals.

Assessment: Teams with Knack applications and a need for their own report views.

Suitable tasks
In-app reports; Client dashboards
Data and integration
Records and relationships of the Knack application.
AI functions
Not documented as a function in the sources consulted. This does not mean that no AI is offered.
Operating model
Clarify the operating form for the chosen output.
Pricing basis
Check the licence scope and terms with the provider.
Check before selecting
How can permissions for individual records also be enforced in aggregated views?
Primary sources · checked on 31.10.2026
Knack · Knack Reports

Tools for data teams

KNIME

KNIME Reporting Extension

View offer ↗

With the Reporting Extension, results of a KNIME workflow can be compiled into static reports. A monthly analysis run can thus produce a PDF for a fixed group of recipients. Anyone introducing the tool should assess the entire process, including data preparation, format and delivery of the finished report.

Assessment: Analysts with reusable KNIME workflows

Suitable tasks
Monthly reports; PDF reports; Recurring report preparation
Data and integration
Tables and views from KNIME workflows
AI functions
Not documented as a function in the sources consulted. This does not mean that no AI is offered.
Operating model
Clarify provision and data region with the provider.
Pricing basis
Clarify price and scope of services with the provider.
Check before selecting
Clarify the components required for scheduling, distribution and operation.
Further documented offers and product pages

Tools for data teams

Kyvos Insights

Kyvos Dialogs

View offer ↗

Kyvos Dialogs is used for natural-language analysis of company data on a model defined by subject-matter experts. A sensible test starts with an analysis that is already known and then adds filters or a further hierarchy level. This makes it possible to check whether the dialogue actually retains the released dimensions and KPIs.

Assessment: Companies with modelled KPIs and hierarchical dimensions

Suitable tasks
Natural-language BI; Multidimensional KPI queries
Data and integration
Semantic models provided by Kyvos
AI functions
Questions in natural language
Operating model
Clarify provision and data region with the provider.
Pricing basis
Clarify price and scope of services with the provider.
Check before selecting
Test access rights, language scope and business hierarchies with your own team's data.

Kyvos goes back to a founding by Impetus. Intellicus is described by Impetus as a spun-off company.

Tools for data teams

Mammoth Analytics

Mammoth Dashboards

View offer ↗

Mammoth connects prepared data with dashboards. For deployment, the entire chain from the arrival of a file to the published analysis is relevant. Repeated processing with a changed source file shows whether calculations and filters remain stable.

Assessment: Specialist areas with recurring data preparation before reporting.

Suitable tasks
Data preparation; Preparing dashboards
Data and integration
Data sources set up for preparation.
AI functions
Not documented as a function in the sources consulted. This does not mean that no AI is offered.
Operating model
Clarify the operating form for the chosen output.
Pricing basis
Check the licence scope and terms with the provider.
Check before selecting
How does the preparation react when a source changes columns or data types?
Primary sources · checked on 31.10.2026
Mammoth Analytics · Mammoth Dashboards

Tools for data teams

Quickbase

Quickbase Reports and Charts

View offer ↗

Quickbase provides reports and charts within its application platform. A team can use it to group operational data from its own application and use it in different views. In particular, the relationship between report filters and the rights to the underlying records should be checked.

Assessment: Organisations that already model processes in Quickbase or want to build them there.

Suitable tasks
App-related reporting; Operational charts
Data and integration
Tables and business data in Quickbase.
AI functions
Not documented as a function in the sources consulted. This does not mean that no AI is offered.
Operating model
Clarify the operating form for the chosen output.
Pricing basis
Check the licence scope and terms with the provider.
Check before selecting
Which of the required KPIs can be calculated directly from the application model?
Primary sources · checked on 31.10.2026
Quickbase · Quickbase Reports and Charts

Tools for data teams

Retool

Retool Dashboards

View offer ↗

Retool connects dashboard views with internal workflows. In an application, users can filter data and, where permitted, update records. For this combination of analysis and editing, clear assignment of rights and a business acceptance process are important.

Assessment: Teams developing a custom interface for KPIs and follow-up tasks.

Suitable tasks
Internal dashboards; Report and editing in one interface
Data and integration
Data sources configured for the application.
AI functions
Not documented as a function in the sources consulted. This does not mean that no AI is offered.
Operating model
Clarify the operating form for the chosen output.
Pricing basis
Check the licence scope and terms with the provider.
Check before selecting
Which users may only read data and which may trigger changes?
Primary sources · checked on 31.10.2026
Retool · Retool Dashboards

Tools for data teams

Steep

Steep

View offer ↗

Steep builds analyses and reporting on jointly defined metrics. This allows different analyses to use the same KPI basis. The solution is of particular interest when data and business teams first need to agree binding definitions of terms such as active customers or order intake.

Assessment: Organisations with centrally maintained KPIs and distributed users.

Suitable tasks
KPI analysis; Recurring reporting
Data and integration
Modelled company data connected to the platform.
AI functions
Not documented as a function in the sources consulted. This does not mean that no AI is offered.
Operating model
Clarify the operating form for the chosen output.
Pricing basis
Check the licence scope and terms with the provider.
Check before selecting
How is a KPI changed and how are dependent reports traced?
Primary sources · checked on 31.10.2026
Steep · Steep

Tools for data teams

Visokio

Omniscope Instant Dashboard

View offer ↗

Omniscope generates interactive, filterable dashboards from provided data files. For a selection, an existing export is suitable, against which data types, groupings and later updating can be checked. The business value depends on whether the file contains the required relationships.

Assessment: Specialist teams with standardised data exports and changing analysis questions.

Suitable tasks
Dashboard from data export; Filterable specialist analysis
Data and integration
Provided data files.
AI functions
Not documented as a function in the sources consulted. This does not mean that no AI is offered.
Operating model
Clarify the operating form for the chosen output.
Pricing basis
Check the licence scope and terms with the provider.
Check before selecting
How are new file versions or changed columns handled in existing dashboards?
Primary sources · checked on 31.10.2026
Visokio · Omniscope Instant Dashboard

Tools for data teams

Zerve

Zerve Conversational Reports

View offer ↗

Zerve brings analyses together in a working environment for data teams and provides results as interactive reports for further follow-up questions. Dashboards and applications can be published from the notebook. For companies, it is of interest who may only read a report and who can change its calculation basis.

Assessment: Data science teams with business recipients outside the notebook

Suitable tasks
Conversational analysis reports; Notebook-based dashboards
Data and integration
Data sets connected in the Zerve workspace
AI functions
Questions in natural language
Operating model
Clarify provision and data region with the provider.
Pricing basis
Clarify price and scope of services with the provider.
Check before selecting
Check the rights and reproducibility of the released analysis in the pilot.

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