BI · Analytics

Yandex DataLens — CIS's default cloud BI 2026

Yandex DataLens — CIS cloud BI without sanctions risk: connectors to ClickHouse, PostgreSQL and Yandex Metrica, AI analytics and embedded dashboards. KT.Team uses DataLens daily and selects the BI engine for your deployment model

DataLens competes in cloud self-service BI: rapid deployment on ClickHouse and Metrica without sanctions risk — separate category from heavy on-prem BI in the CIS Ministry registry, we advise on both fairly

Get a consultation

Yandex DataLens demo: from connecting a source to a finished dashboard

Our clients

FSK Group

SMLT

Tochno

Sber City

Relief Center

Askona

Snezhnaia Koroleva

Muztorg

TVOE

Yandex

Lenta

International perfume and cosmetics brand

RAEC

L'Etoile

55k+active DataLens users per month within Yandex — platform proven at vendor scale

3 editionsCloud, On-Premises Enterprise and Open Source — one engine for cloud, private network and self-host

CISCIS platform without sanctions risk: available for new projects and import substitution

up to 1Mrows for background export (up to 1 GB) — datasets and exports for management reporting

Industry solutions

What you can build with Yandex DataLens

Retail and e-commerce Build sales, funnel and product analytics dashboards on ClickHouse and Metrica Operational sales and marketing analytics in one cloud BI

Development and construction Consolidate project and sales KPIs into executive dashboards Developer BI dashboards and management reporting

Manufacturing Display plan vs actual, cost and capacity on dashboards over DWH Production management analytics from 1C and MES data

Internal analytics Embed dashboards in corporate portal and distribute access by role Self-service analytics and embedded dashboards within your organization

Capabilities

Yandex DataLens capabilities

ClickHousePostgreSQLYandex Metrica1C via ETLDataLens: datasets, charts, dashboardsAI Analytics: AI formulas and summariesDashboards and embeddingPDF reportsAI insights

Left: CIS data stack sources (ClickHouse, PostgreSQL, Yandex Metrica, 1C exports via ETL); center: DataLens (datasets, charts, dashboards, AI analytics); right: consumers — web dashboards and embedding, PDF reports and AI insights

Connectors to CIS data stack

Native connectors to ClickHouse, PostgreSQL and Trino (cloud and on-prem), parameterized datasets and background export up to 1M rows — BI layers directly on CIS data stack without middleware.

AI analytics

The 'Formula Constructor' writes formulas in DataLens language and explains logic in plain language; AI gathers chart specs, report summaries and data interpretations — analysts get a draft, not a blank page.

Reports and data storytelling

Multi-page reports, PDF export, presentation and fullscreen mode, pixel-perfect layout — executive reporting assembles in BI itself, no PowerPoint export needed.

Embedded dashboards

Not just reports but dashboards can be embedded, with token refresh for persistent sessions — DataLens suits product embedded analytics within your service.

Editor and custom charts

Custom JS charts, multiple data sources in one dashboard, API integration and secure browser+server execution — visualization is not limited to standard chart types.

Enterprise deployment

On-Premises Enterprise with LDAP and RLS, workbook export and import across Cloud, Open Source and On-Prem, DataLens Gallery templates and API for automation and migration from other BI

Full conditional formatting

Flexible conditional formatting of tables and metrics — DataLens differentiator vs Superset and Metabase where executive report readability matters.

Approach

How we implement Yandex DataLens

Without modifying the core

We don't fork or patch Yandex DataLens core. Yandex DataLens stays on the standard updated version — business logic goes into separate adjacent microservices, so platform updates don't break your customizations.

International Standards, Not Homegrown Hacks

Where a mature international solution exists, we use it instead of inventing our own protocol or platform. Before writing code, we study how the problem is already solved in the industry.

Transferability

The solution is loosely coupled and documented: it can be handed over between teams and contractors without rewriting. You are not tied to us.

AI compatibility

Yandex DataLens in AI deployment

AI analytics instead of manual formulas

Built-in AI constructor writes formulas in DataLens language and explains them in plain language — entry barrier for business users drops, analysts handle routine work faster.

AI summaries and report interpretations

The model generates brief conclusions and interpretations for the dashboard — executives read the summary, not parse a dozen charts themselves.

Roadmap: AI over Data Catalog

The vendor is driving DataLens toward AI scenarios over data catalogs and corporate knowledge bases, AI-powered distributions, triggers and recommendations — BI shifts from visualization to active analytics.

KT.Team's AI layer over BI

On top of DataLens we deploy agents and MCP wrapper: data mart preparation, data validation and natural language answers on your metrics — BI integrates into AI-native workflow, not living separately.

Context 2026

What changed in the market

Default cloud BI in CIS

After Power BI and Tableau's exit, DataLens became the default cloud BI for new CIS projects: CIS interface, free tier for small teams, strong geo-maps and native Metrica integration.

Two BI leagues, not one

DataLens competes in cloud self-service BI. Heavy on-prem BI from the CIS Ministry registry is a different category (Visiology, AW BI, Luxms). KT.Team advises fairly on both: for cloud speed we choose DataLens, for closed on-prem deployments — a registry-approved solution or Superset

When to choose DataLens

Choose DataLens when you need fast deployment on ClickHouse and Metrica without sanctions risk. Need full on-prem control and product embedding — try Apache Superset; fastest P&L path for small teams — Metabase.

Three editions for every deployment

Cloud (datalens.ru), On-Premises Enterprise (LDAP, RLS, support) and Open Source with limited visualization types — one engine deploys to cloud, private network or self-host, with workbook portability between them

Honestly

Pros and cons

Pros

CIS cloud solution without sanctions risk: available for new projects and import substitution, with CIS interface and support.
Native integration with CIS data stack: ClickHouse, PostgreSQL and Yandex Metrica out of the box, strong geo-maps.
Quick start: free tier for small teams and cloud with no installation — time to first dashboard is minimal.
AI analytics and full conditional formatting deliver better executive readability than Superset and Metabase on standard tasks.
KT.Team uses DataLens daily — this is practice, not a sales pitch

Cons

Cloud self-service tier, not heavy on-prem enterprise BI: for closed circuits from the federal software registry, consider Visiology, AW BI, Luxms or self-hosted Superset.
Open Source edition limited in visualization types — full feature set in Cloud and On-Premises Enterprise
Ecosystem tied to Yandex: plus for Metrica and cloud integration, minus if your deployment is multi-vendor by design