Databend vs. Snowflake Features and Capabilities

Features and Capabilities

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	Category	Snowflake	Databend
Numeric Data Types	Data Types	Yes	Yes [1, 2]
String & Binary Data Types	Data Types	Yes	Yes
Logical Data Types	Data Types	Yes	Yes
Date & Time Data Types	Data Types	Yes	Yes
Geospatial Data Types	Data Types	Yes	Yes
Bitmap Data Types	Data Types	No	Yes
Semi-structured Data Types	Data Types	Yes	Yes
Database	Databases	Yes	Yes
Sequence	Sequences	Yes	Yes
Table	Tables	Yes	Yes
External Location Table(Store data in your own S3 bucket)	Tables	No (Snowflake Native Format with Micro-Partition)	Yes (Databend Native Format with FUSE Table Format)
Vacuum	Tables	No	Yes
Clustering	Tables	Yes	Yes(Distributed)
Full-Text Index	Tables	No	Yes
Hive	Lake	Yes	Yes
Iceberg	Lake	Yes	Yes
View	Views	Yes	Yes
Materialized Views	Views	Yes	Yes
User, Role, & Privilege	Privileges	Yes	Yes
Query	Queries	Yes	Yes
Update	General DML	Yes	Yes(Distributed)
Replace	General DML	No	Yes(Distributed)
Delete	General DML	Yes	Yes(Distributed)
Merge	General DML	Yes	Yes
Stage(Internal/External/Remove/List)	Data Loading	Yes	Yes
Query Stage File	Data Loading	Yes	Yes
Copy Into Table/Location	Data Loading	Yes	Yes(Distributed)
Transforming Data During a Load	Data Loading	Yes	Yes
Pipe	Data Loading	Yes	Yes(Cloud)
Task	Data Loading	Yes, minimum schedule is 1 minute	Yes, minimum schedule is 500 millisecond
Stream	Data Loading	Yes	Yes
Table Stream(Append-only/Standard)	Data Loading	Yes	Yes
User-Defined Functions	Functions	Yes	Yes
External Functions	Functions	Yes	Yes
Stored Procedure	Functions	Yes	Planning
AI Functions	Functions	Yes, 2024 Add	Yes
Window Function	Functions	Yes	Yes
Time Travel	Data Recovery	Yes	Yes
Data Sharing	Data Sharing	Yes	Yes
RBAC	Security	Yes	Yes
Network Policies	Security	Yes	Yes
Masking Policies	Security	Yes	Yes
Kafka Connect	Connectors	Yes	Yes
Flink CDC	Connectors	No	Yes
dbt	Connectors	Yes	Yes
Drivers	Drivers	Go Java Ptyhon Node.js	Go Java Python Node.js Rust
Embedded as a Python Library		No	Yes
Storage Format	Storage	MicroPartition	Parquet
Aggregate&Join&Sort Spill	Performance Optimization	Yes	Yes
Local Disk Cache	Performance Optimization	Yes	Yes
Profiling	Performance Optimization	Powerful	Powerful
CLI Client	Client	SnowSQL	BendSQL
TPC-H	Benchmark	Yes	Yes
TPC-DS	Benchmark	Yes	Yes
Supported Cloud Platforms	Cloud	AWS/GCP/AZURE	Any Cloud

Databend and Snowflake Functions Comparison

Mathematical Functions

Databend Function	Snowflake Function
`ABS(x)`	`ABS(x)`
`ACOS(x)`	`ACOS(x)`
`ASIN(x)`	`ASIN(x)`
`ATAN(x)`	`ATAN(x)`
`ATAN2(y, x)`	`ATAN2(y, x)`
`CEIL(x)`	`CEIL(x)`
`CEILING(x)`	`CEILING(x)`
`COS(x)`	`COS(x)`
`DEGREES(x)`	`DEGREES(x)`
`EXP(x)`	`EXP(x)`
`FLOOR(x)`	`FLOOR(x)`
`LN(x)`	`LN(x)`
`LOG(x)`	`LOG(x)`
`LOG10(x)`	`LOG10(x)`
`LOG2(x)`	`LOG2(x)`
`PI()`	`PI()`
`POW(x, y)`	`POW(x, y)`
`POWER(x, y)`	`POWER(x, y)`
`RADIANS(x)`	`RADIANS(x)`
`RAND()`	`RAND()`
`ROUND(x, d)`	`ROUND(x, d)`
`SIGN(x)`	`SIGN(x)`
`SIN(x)`	`SIN(x)`
`SQRT(x)`	`SQRT(x)`
`TAN(x)`	`TAN(x)`

String Functions

Databend Function	Snowflake Function
`ASCII(expr)`	`ASCII(expr)`
`CHAR(n, ...)`	`CHAR(n, ...)`
`CONCAT(expr1, ...)`	`CONCAT(expr1, ...)`
`CONCAT_WS(separator, expr1, ...)`	`CONCAT_WS(separator, expr1, ...)`
`INSTR(str, substr)`	`INSTR(str, substr)`
`LENGTH(str)`	`LENGTH(str)`
`LCASE(str)`	`LOWER(str)`
`LEFT(str, len)`	`LEFT(str, len)`
`LOWER(str)`	`LOWER(str)`
`LTRIM(str)`	`LTRIM(str)`
`POSITION(substr IN str)`	`POSITION(substr IN str)`
`REPEAT(str, count)`	`REPEAT(str, count)`
`REPLACE(str, from_str, to_str)`	`REPLACE(str, from_str, to_str)`
`REVERSE(str)`	`REVERSE(str)`
`RIGHT(str, len)`	`RIGHT(str, len)`
`RTRIM(str)`	`RTRIM(str)`
`SPACE(n)`	`SPACE(n)`
`SUBSTR(str, pos)`	`SUBSTR(str, pos)`
`SUBSTR(str, pos, len)`	`SUBSTR(str, pos, len)`
`SUBSTRING(str, pos)`	`SUBSTRING(str, pos)`
`SUBSTRING(str, pos, len)`	`SUBSTRING(str, pos, len)`
`TRIM([{BOTH	LEADING
`UCASE(str)`	`UPPER(str)`
`UPPER(str)`	`UPPER(str)`

Date and Time Functions

Databend Function	Snowflake Function
`ADD_DAYS(date, interval)`	`DATEADD(day, interval, date)`
`ADD_HOURS(date, interval)`	`DATEADD(hour, interval, date)`
`ADD_MINUTES(date, interval)`	`DATEADD(minute, interval, date)`
`ADD_MONTHS(date, interval)`	`DATEADD(month, interval, date)`
`ADD_SECONDS(date, interval)`	`DATEADD(second, interval, date)`
`ADD_YEARS(date, interval)`	`DATEADD(year, interval, date)`
`DATE(expr)`	`DATE(expr)`
`DAY(date)`	`DAY(date)`
`DAYNAME(date)`	`DAYNAME(date)`
`DAY_OF_MONTH(date)`	`DAYOFMONTH(date)`
`DAY_OF_WEEK(date)`	`DAYOFWEEK(date)`
`DAY_OF_YEAR(date)`	`DAYOFYEAR(date)`
`HOUR(date)`	`HOUR(date)`
`LAST_DAY(date)`	`LAST_DAY(date)`
`MINUTE(time)`	`MINUTE(time)`
`MONTH(date)`	`MONTH(date)`
`NOW()`	`CURRENT_TIMESTAMP()`
`SECOND(time)`	`SECOND(time)`
`TO_DATE(expr)`	`TO_DATE(expr)`
`TO_TIMESTAMP(expr)`	`TO_TIMESTAMP(expr)`
`WEEK(date)`	`WEEK(date)`
`YEAR(date)`	`YEAR(date)`
`YESTERDAY()`	`DATEADD(day, -1, CURRENT_DATE())`
`TOMORROW()`	`DATEADD(day, 1, CURRENT_DATE())`
`TO_START_OF_DAY(expr)`	`DATE_TRUNC('day', expr)`
`TO_START_OF_HOUR(expr)`	`DATE_TRUNC('hour', expr)`
`TO_START_OF_MINUTE(expr)`	`DATE_TRUNC('minute', expr)`
`TO_START_OF_MONTH(expr)`	`DATE_TRUNC('month', expr)`
`TO_START_OF_QUARTER(expr)`	`DATE_TRUNC('quarter', expr)`
`TO_START_OF_WEEK(expr)`	`DATE_TRUNC('week', expr)`
`TO_START_OF_YEAR(expr)`	`DATE_TRUNC('year', expr)`
`TO_UNIX_TIMESTAMP(expr)`	`TO_TIMESTAMP(expr)`
`TO_YEARMONTH(expr)`	`TO_CHAR(expr, 'YYYY-MM')`
`TO_YYYYMMDD(expr)`	`TO_CHAR(expr, 'YYYYMMDD')`
`TO_YYYYMMDDHH(expr)`	`TO_CHAR(expr, 'YYYYMMDDHH')`
`TO_YYYYMMDDHHMMSS(expr)`	`TO_CHAR(expr, 'YYYYMMDDHHMMSS')`

Aggregate Functions

Databend Function	Snowflake Function
`AVG(x)`	`AVG(x)`
`COUNT(x)`	`COUNT(x)`
`MAX(x)`	`MAX(x)`
`MIN(x)`	`MIN(x)`
`SUM(x)`	`SUM(x)`

Conversion Functions

Databend Function	Snowflake Function
`CAST(expr AS type)`	`CAST(expr AS type)`
`TO_BOOLEAN(expr)`	`CAST(expr AS BOOLEAN)`
`TO_STRING(expr)`	`CAST(expr AS STRING)`
`TO_INT32(expr)`	`CAST(expr AS INT)`
`TO_INT64(expr)`	`CAST(expr AS BIGINT)`
`TO_UINT32(expr)`	`CAST(expr AS NUMBER)`
`TO_UINT64(expr)`	`CAST(expr AS NUMBER)`
`TO_FLOAT32(expr)`	`CAST(expr AS FLOAT)`
`TO_FLOAT64(expr)`	`CAST(expr AS DOUBLE)`
`TO_DATE(expr)`	`CAST(expr AS DATE)`
`TO_TIMESTAMP(expr)`	`CAST(expr AS TIMESTAMP)`
`TRY_CAST(expr AS type)`	`TRY_CAST(expr AS type)`

JSON Functions

Databend Function	Snowflake Function
`JSON_OBJECT(key1, value1[, key2, value2[, ...]])`	`OBJECT_CONSTRUCT(key1, value1[, key2, value2[, ...]])`
`PARSE_JSON(expr)`	`PARSE_JSON(expr)`
`JSON_EXTRACT_PATH_TEXT(expr, path_name)`	`GET(expr, path_name)`
`JSON_PRETTY(json_string)`	`TO_JSON_STRING(json_string)`
`JSON_ARRAY(value1[, value2[, ...]])`	`ARRAY_CONSTRUCT(value1[, value2[, ...]])`
`JSON_PATH_QUERY(variant, path_name)`	`PATH(expr, path_name)`
`JSON_PATH_QUERY_FIRST(variant, path_name)`	`PATH(expr, path_name)`
`CHECK_JSON(expr)`	`IS_JSON(expr)`
`GET_PATH(variant, path_name)`	`GET_PATH(variant, path_name)`
`JSON_PATH_EXISTS(json_data, json_path_expression)`	`JSON_PATH_EXISTS(json_data, json_path_expression)`
`JSON_OBJECT_KEEP_NULL(key1, value1[, key2, value2[, ...]])`	`OBJECT_CONSTRUCT_KEEP_NULL(key1, value1[, key2, value2[, ...]])`
`IS_INTEGER(expr)`	`IS_INTEGER(expr)`
`IS_NULL_VALUE(expr)`	`IS_NULL_VALUE(expr)`
`IS_STRING(expr)`	`IS_STRING(expr)`
`IS_BOOLEAN(expr)`	`IS_BOOLEAN(expr)`
`FLATTEN(INPUT => expr [, PATH => expr ] [ , OUTER => TRUE	FALSE ] [ , RECURSIVE => TRUE
`IS_ARRAY(expr)`	`IS_ARRAY(expr)`
`GET(variant, index)`	`GET(variant, index)`
`JSON_PATH_QUERY_ARRAY(variant, path_name)`	`PATH_ARRAY(variant, path_name)`
`GET_IGNORE_CASE(variant, field_name)`	`GET_IGNORE_CASE(variant, field_name)`
`JSON_ARRAY_ELEMENTS(json_string)`	`ARRAY_ELEMENTS(json_string)`
`JSON_STRIP_NULLS(json_string)`	`REMOVE_NULLS(json_string)`
`AS_BOOLEAN(variant)`	`CAST(variant AS BOOLEAN)`
`AS_INTEGER(variant)`	`CAST(variant AS INTEGER)`
`AS_FLOAT(variant)`	`CAST(variant AS FLOAT)`
`AS_STRING(variant)`	`CAST(variant AS STRING)`
`AS_ARRAY(variant)`	`CAST(variant AS ARRAY)`
`AS_OBJECT(variant)`	`CAST(variant AS OBJECT)`

Bitmap Functions

Databend Function	Snowflake Function
`BUILD_BITMAP(expr)`	N/A
`TO_BITMAP(expr)`	N/A
`BITMAP_AND(expr1, expr2)`	N/A
`BITMAP_OR(expr1, expr2)`	N/A
`BITMAP_XOR(expr1, expr2)`	N/A
`BITMAP_HAS_ALL(expr1, expr2)`	N/A
`BITMAP_HAS_ANY(expr1, expr2)`	N/A
`BITMAP_TO_STRING(expr)`	N/A

Conditional Functions

Databend Function	Snowflake Function
`IF(cond, expr1, expr2)`	`IFF(cond, expr1, expr2)`
`NULLIF(expr1, expr2)`	`NULLIF(expr1, expr2)`
`IFNULL(expr1, expr2)`	`IFNULL(expr1, expr2)`
`COALESCE(expr1, expr2[, ...])`	`COALESCE(expr1, expr2[, ...])`

Encryption and Hash Functions

Databend Function	Snowflake Function
`MD5(expr)`	`MD5(expr)`
`SHA(expr)`	`SHA(expr)`
`SHA2(expr, x)`	`SHA2(expr, x)`
`CRC32(expr)`	`CRC32(expr)`
`XXHASH32(expr)`	N/A
`XXHASH64(expr)`	N/A
`BLAKE3(expr)`	N/A
`SIPHASH64(expr)`	N/A
`CITY64WITHSEED(expr1, expr2)`	N/A

Window Functions

Databend Function	Snowflake Function
`ROW_NUMBER()`	`ROW_NUMBER()`
`RANK()`	`RANK()`
`DENSE_RANK()`	`DENSE_RANK()`
`PERCENT_RANK()`	`PERCENT_RANK()`
`CUME_DIST()`	`CUME_DIST()`
`NTILE(n)`	`NTILE(n)`
`LAG(expr, n, default)`	`LAG(expr, n, default)`
`LEAD(expr, n, default)`	`LEAD(expr, n, default)`
`FIRST_VALUE(expr)`	`FIRST_VALUE(expr)`
`LAST_VALUE(expr)`	`LAST_VALUE(expr)`
`NTH_VALUE(expr, n)`	`NTH_VALUE(expr, n)`

Array Functions

Databend Function	Snowflake Function
`ARRAY_REDUCE(array, lambda)`	N/A
`ARRAY_FLATTEN(array)`	`ARRAY_FLATTEN( <array> )`
`SLICE(array, start[, end])`	`SLICE(array, start[, end])`
`ARRAY_TO_STRING(array, '<separator>')`	`ARRAY_TO_STRING(array, '<separator>')`
`CONTAINS(array, element)`	`ARRAY_CONTAINS(array, element)`
`ARRAY_FILTER(array, lambda)`	N/A
`ARRAY_SORT(array[, order[, nullposition]])`	`ARRAY_SORT(array[, order[, nullposition]])`
`UNNEST(array)`	`UNNEST(array)`
`ARRAY_CONCAT(array1, array2)`	`ARRAY_CAT(array1, array2)`
`GET(array, index)`	`GET(array, index)`
`ARRAY_INDEX_OF(array, element)`	`ARRAY_INDEX_OF(array, element)`
`ARRAY_UNIQUE(array)`	`ARRAY_UNIQUE(array)`
`ARRAY_REMOVE_FIRST(array)`	N/A
`ARRAY_TRANSFORM(array, lambda)`	`TRANSFORM( <array> , <lambda_expression> )`
`ARRAY_DISTINCT(array)`	`ARRAY_DISTINCT(array)`
`ARRAY_APPEND(array, element)`	`ARRAY_APPEND(array, element)`
`ARRAY_PREPEND(element, array)`	`ARRAY_PREPEND(element, array)`
`ARRAY_LENGTH(array)`	`ARRAY_LENGTH(array)`
`ARRAY_APPLY(array, lambda)`	N/A

Geospatial Functions

Databend Function	Snowflake Function
`H3_EXACT_EDGE_LENGTH_KM(h3)`	`H3_EXACT_EDGE_LENGTH_KM(h3)`
`H3_EDGE_LENGTH_M(1)`	`H3_EDGE_LENGTH_M(1)`
`H3_LINE(h3, a_h3)`	`H3_LINE(h3, a_h3)`
`H3_EDGE_LENGTH_KM(res)`	`H3_EDGE_LENGTH_KM(res)`
`H3_EXACT_EDGE_LENGTH_M(h3)`	`H3_EXACT_EDGE_LENGTH_M(h3)`
`GEOHASH_DECODE('<geohashed-string>')`	`GEOHASH_DECODE('<geohashed-string>')`
`H3_HEX_AREA_M2(res)`	`H3_HEX_AREA_M2(res)`
`H3_TO_GEO_BOUNDARY(h3)`	`H3_TO_GEO_BOUNDARY(h3)`
`H3_GET_UNIDIRECTIONAL_EDGES_FROM_HEXAGON(h3)`	`H3_GET_UNIDIRECTIONAL_EDGES_FROM_HEXAGON(h3)`
`H3_HEX_AREA_KM2(res)`	`H3_HEX_AREA_KM2(res)`
`H3_IS_VALID(h3)`	`H3_IS_VALID(h3)`
`H3_TO_GEO(h3)`	`H3_TO_GEO(h3)`
`H3_UNIDIRECTIONAL_EDGE_IS_VALID(h3)`	`H3_UNIDIRECTIONAL_EDGE_IS_VALID(h3)`
`GEO_TO_H3(lon, lat, res)`	`GEO_TO_H3(lon, lat, res)`
`GEOHASH_ENCODE(lon, lat)`	`GEOHASH_ENCODE(lon, lat)`
`POINT_IN_POLYGON((x,y), [(a,b), (c,d), (e,f) ... ])`	`POINT_IN_POLYGON((x,y), [(a,b), (c,d), (e,f) ... ])`
`H3_DISTANCE(h3, a_h3)`	`H3_DISTANCE(h3, a_h3)`
`H3_CELL_AREA_RADS2(h3)`	`H3_CELL_AREA_RADS2(h3)`
`H3_TO_CENTER_CHILD(h3, res)`	`H3_TO_CENTER_CHILD(h3, res)`
`H3_CELL_AREA_M2(h3)`	`H3_CELL_AREA_M2(h3)`
`H3_GET_FACES(h3)`	`H3_GET_FACES(h3)`
`H3_IS_PENTAGON(h3)`	`H3_IS_PENTAGON(h3)`
`STRING_TO_H3(h3)`	`STRING_TO_H3(h3)`
`H3_GET_UNIDIRECTIONAL_EDGE(h3, a_h3)`	`H3_GET_UNIDIRECTIONAL_EDGE(h3, a_h3)`
`H3_GET_BASE_CELL(h3)`	`H3_GET_BASE_CELL(h3)`
`H3_GET_UNIDIRECTIONAL_EDGE_BOUNDARY(h3)`	`H3_GET_UNIDIRECTIONAL_EDGE_BOUNDARY(h3)`
`H3_GET_DESTINATION_INDEX_FROM_UNIDIRECTIONAL_EDGE(h3)`	`H3_GET_DESTINATION_INDEX_FROM_UNIDIRECTIONAL_EDGE(h3)`
`H3_TO_PARENT(h3, parent_res)`	`H3_TO_PARENT(h3, parent_res)`
`H3_NUM_HEXAGONS(res)`	`H3_NUM_HEXAGONS(res)`
`H3_TO_CHILDREN(h3, child_res)`	`H3_TO_CHILDREN(h3, child_res)`
`H3_GET_INDEXES_FROM_UNIDIRECTIONAL_EDGE(h3)`	`H3_GET_INDEXES_FROM_UNIDIRECTIONAL_EDGE(h3)`
`H3_TO_STRING(h3)`	`H3_TO_STRING(h3)`
`H3_K_RING(h3, k)`	`H3_K_RING(h3, k)`
`H3_IS_RES_CLASS_III(h3)`	`H3_IS_RES_CLASS_III(h3)`
`H3_INDEXES_ARE_NEIGHBORS(h3, a_h3)`	`H3_INDEXES_ARE_NEIGHBORS(h3, a_h3)`
`H3_GET_ORIGIN_INDEX_FROM_UNIDIRECTIONAL_EDGE(h3)`	`H3_GET_ORIGIN_INDEX_FROM_UNIDIRECTIONAL_EDGE(h3)`
`H3_GET_RESOLUTION(h3)`	`H3_GET_RESOLUTION(h3)`

Other Functions

Databend Function	Snowflake Function
`NEXTVAL(seq_name)`	`NEXTVAL(seq_name)`
`QUOTE(str)`	`QUOTE(str)`

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Databend vs. Snowflake Features and Capabilities #13059

Features and Capabilities

Databend and Snowflake Functions Comparison

Mathematical Functions

String Functions

Date and Time Functions

Aggregate Functions

Conversion Functions

JSON Functions

Bitmap Functions

Conditional Functions

Encryption and Hash Functions

Window Functions

Array Functions

Geospatial Functions

Other Functions

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

Uh oh!

Databend vs. Snowflake Features and Capabilities #13059

Description

Features and Capabilities

Databend and Snowflake Functions Comparison

Mathematical Functions

String Functions

Date and Time Functions

Aggregate Functions

Conversion Functions

JSON Functions

Bitmap Functions

Conditional Functions

Encryption and Hash Functions

Window Functions

Array Functions

Geospatial Functions

Other Functions

Metadata

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

Issue actions