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Yandex DataLens
  • Getting started
  • Use cases
    • All use cases
    • Visualizing data from a CSV file
    • Visualizing data from a ClickHouse database
    • Visualizing data from Yandex.Metriсa
    • Visualizing data from Yandex.Metrica Logs API
    • Publishing a chart with a map from a CSV file to DataLens Public
    • Visualizing data from AppMetrica
    • Visualizing geodata from a CSV file
  • Step-by-step instructions
    • All instructions
    • Working with connections
      • Creating a ClickHouse connection
      • Creating a connection to a CSV file
      • Creating a MySQL connection
      • Creating a PostgreSQL connection
      • Creating an MS SQL Server connection
      • Creating an Oracle Database connection
      • Creating a Yandex.Metrica API connection
      • Creating a Yandex.Metrica Logs API connection
      • Creating an AppMetrica connection
      • Managing connection access
    • Working with datasets
      • Create dataset
      • Creating a data field
      • Creating a calculated data field
      • Updating fields in datasets
      • Dataset materialization
      • Managing dataset access
      • Managing access to data rows
    • Working with charts
      • Creating a line chart
      • Creating an area chart
      • Creating a pie chart
      • Creating a column chart
      • Creating a bar chart
      • Creating a map
      • Creating a table
      • Creating a pivot table
      • Publishing a chart
      • Managing chart access
    • Working with dashboards
      • Creating dashboards
      • Adding charts to dashboards
      • Adding selectors to dashboards
      • Publishing dashboards
      • Managing dashboard access
    • Working with permissions
      • Granting permissions
      • Deleting permissions
      • Request permissions
  • Concepts
    • Overview
    • Connections
    • Data types
    • Datasets
      • Overview
      • Data model
      • Dataset settings
    • Charts
    • Dashboards
    • Using Markdown in DataLens
    • DataLens Public
    • Calculated fields
    • Marketplace
    • Backups in DataLens
    • Quotas and limits
  • Access management
    • Managing access to DataLens
    • Managing access at the data row level
  • Pricing policy
  • Function reference
    • All Functions
    • Aggregate functions
      • Overview
      • ALL_CONCAT
      • ANY
      • ARG_MAX
      • ARG_MIN
      • AVG
      • AVG_IF
      • COUNT
      • COUNTD
      • COUNTD_APPROX
      • COUNTD_IF
      • COUNT_IF
      • MAX
      • MEDIAN
      • MIN
      • QUANTILE
      • QUANTILE_APPROX
      • STDEV
      • STDEVP
      • SUM
      • SUM_IF
      • TOP_CONCAT
      • VAR
      • VARP
    • Date/Time functions
      • Overview
      • DATEADD
      • DATEPART
      • DATETRUNC
      • DAY
      • DAYOFWEEK
      • HOUR
      • MINUTE
      • MONTH
      • NOW
      • SECOND
      • TODAY
      • WEEK
      • YEAR
    • Geographical functions
      • Overview
      • GEOCODE
      • GEOINFO
      • TOPONYM_TO_GEOPOINT
      • TOPONYM_TO_GEOPOLYGON
    • Logical functions
      • Overview
      • CASE
      • IF
      • IFNULL
      • ISNULL
      • ZN
    • Text markup functions
      • Overview
      • BOLD
      • ITALIC
      • MARKUP
      • URL
    • Mathematical functions
      • Overview
      • ABS
      • ACOS
      • ASIN
      • ATAN
      • ATAN2
      • CEILING
      • COS
      • COT
      • DEGREES
      • DIV
      • EXP
      • FLOOR
      • GREATEST
      • LEAST
      • LN
      • LOG
      • LOG10
      • PI
      • POWER
      • RADIANS
      • ROUND
      • SIGN
      • SIN
      • SQRT
      • SQUARE
      • TAN
    • Operators
      • Overview
      • AND
      • Addition and concatenation (+)
      • BETWEEN
      • Comparison
      • Division (/)
      • IN
      • IS FALSE
      • IS TRUE
      • LIKE
      • Modulo (%)
      • Multiplication (*)
      • NOT
      • Negation (-)
      • OR
      • Power (^)
      • Subtraction (-)
    • String functions
      • Overview
      • ASCII
      • CHAR
      • CONCAT
      • CONTAINS
      • ENDSWITH
      • FIND
      • ICONTAINS
      • IENDSWITH
      • ISTARTSWITH
      • LEFT
      • LEN
      • LOWER
      • LTRIM
      • REGEXP_EXTRACT
      • REGEXP_EXTRACT_NTH
      • REGEXP_MATCH
      • REGEXP_REPLACE
      • REPLACE
      • RIGHT
      • RTRIM
      • SPACE
      • SPLIT
      • STARTSWITH
      • SUBSTR
      • TRIM
      • UPPER
      • UTF8
    • Time series functions
      • Overview
      • AGO
      • AT_DATE
    • Type conversion functions
      • Overview
      • BOOL
      • DATE
      • DATETIME
      • DATETIME_PARSE
      • DATE_PARSE
      • DB_CAST
      • FLOAT
      • GEOPOINT
      • GEOPOLYGON
      • INT
      • STR
    • Window functions
      • Overview
      • AVG
      • AVG_IF
      • COUNT
      • COUNT_IF
      • LAG
      • MAVG
      • MAX
      • MCOUNT
      • MIN
      • MMAX
      • MMIN
      • MSUM
      • RANK
      • RANK_DENSE
      • RANK_PERCENTILE
      • RANK_UNIQUE
      • RAVG
      • RCOUNT
      • RMAX
      • RMIN
      • RSUM
      • SUM
      • SUM_IF
    • Function Availability
  • Questions and answers
  1. Concepts
  2. Quotas and limits

Quotas and limits

    Yandex DataLens has the following limits:

    • Quotas are organizational restrictions that can be changed by technical support on request.
    • Limits are technical restrictions due to the Yandex.Cloud architecture specifics. The limits cannot be changed.

    Quotas

    Type of limit Value
    Geocoding* (number of unique records per day) in the Free plan 0
    Geocoding* (number of unique records per day) in the Standard plan 25,000

    * Geocoding functions: GEOCODE and GEOINFO.

    General limits

    Type of limit Value
    Number of DataLens instances per cloud 1
    Maximum CSV file size 200 MB
    Maximum number of rows of persisted data
    per dataset
    100,000,000
    Maximum number of tables per dataset 32

    Chart data limits

    Each chart has a limit on the amount of data it can display.

    Every time DataLens tries to visualize a chart, it makes a request to a dataset.
    If the number of rows in the response exceeds the limit, DataLens doesn't display the chart.

    You can change the number of data rows per response in request parameters, for example, by filtering.

    Chart type Number of data rows from a dataset
    that the chart can display
    Charts
    Line chart 75,000
    Area chart
    Normalized area chart
    75,000
    Column chart
    Normalized column chart
    75,000
    Bar chart
    Normalized bar chart
    75,000
    Scatter chart 75,000
    Pie chart 1000
    Tree chart 1000
    Tables
    Table 100,000
    Pivot table 50,000
    Geomaps
    Point map 40,000
    Choropleth map 40,000
    Heat map 60,000
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