databend
databend copied to clipboard
datafuselabs
Databend vs. Snowflake Features and Capabilities
Features and Capabilities
Databend is an open-source alternative to Snowflake, so we need a page to introduce the differences between Databend and Snowflake. Feel free to contribute if you notice any omissions.
| 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) |
| Feature | Snowflake | Databend |
|---|---|---|
| Kafka Connect | Yes | Yes |
| Flink CDC | No | Yes |
| dbt | Yes | Yes |
| go driver | Yes | Yes |
| java driver | Yes | Yes |
| rust driver | No | Yes |
| python driver | Yes | Yes |
| nodejs driver | Yes | Planning |
| embedded python lib | No | Yes |
| Iceberg | Private Preview | Yes |
we hava a nodejs driver, see:
- https://www.npmjs.com/package/databend-driver
- https://databend.rs/doc/develop/nodejs
In addition, although we do not yet support geospatial types, we have already implemented a wide range of geospatial functions. I believe this is worth mentioning.
- https://databend.rs/doc/sql-functions/geo-functions/
I think, in Storage Format, perhaps we can also add our native format and indicate that it can bring better performance.
Summary
Databend is an open-source alternative to Snowflake, so we need a page to introduce the differences between Databend and Snowflake. Feel free to contribute if you notice any omissions.
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 No(Geo functions) Bitmap Data Types Data Types No Yes Semi-structured Data Types Data Types Yes Yes Database Databases Yes Yes Table Tables Yes Yes External Table Tables Yes Yes Vacuum Tables No Yes Clustering Tables Yes Yes(Distributed) Hive Lake Yes Yes Iceberg Lake Yes(Private Preview) Yes View Views Yes Yes Materialized Views Views Yes Yes(Need Doc) 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 Table Pipe Data Loading Yes Yes(Cloud) Table Task Data Loading Yes Yes Table Stream Data Loading Yes Yes User-Defined Functions Functions Yes Yes External Functions Functions Yes Yes Stored Procedure Functions Yes No AI Functions Functions No 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 Python Library No Yes Storage Format Storage MicroPartition Parquet Aggregate&Join Spill Performance Optimization Yes Yes Local Disk Cache Performance Optimization Yes Yes Profiling Performance Optimization Powerful Medium CLI Client Client SnowSQL BendSQL TPC-H Benchmark Yes Yes TPC-DS Benchmark Yes Yes Supported Cloud Platforms Cloud AWS/GCP/AZURE Any Cloud
@BohuTANG Could you help me change the address of the connection๏ผ Here are the rules๏ผ /doc/sql-reference/* => /sql/sql-reference/* /doc/sql-commands/* => /sql/sql-commands/* /doc/sql-functions/* =>/sql/sql-functions/* (๐ Although I redirected all of these, it's better to change them all together. And you can directly change the domain name to https://docs.databend.com )
https://docs.databend.com/load-data/pipeline => https://docs.databend.com/doc/load-data/pipeline https://databend.rs/blog/2023-08-01-iceberg-integration=> https://www.databend.com/blog/2023-08-01-iceberg-integration/
Thank you in advance๏ผ
@BohuTANG
Wish to support Geospatial Data Types, we used to have a lot of spatial data needs, and if databend can support geo, it will be a great help to us ~
