snowflake-connector-python
jaydebeapi
snowflake-connector-python | jaydebeapi | |
---|---|---|
3 | 1 | |
553 | 355 | |
0.5% | - | |
9.0 | 0.0 | |
8 days ago | about 1 month ago | |
Python | Python | |
Apache License 2.0 | GNU Lesser General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
snowflake-connector-python
- Snowflake Python connector lack of async support
-
Connecting Raspberry Pi + Python with Snowflake
Regarding your question, please check the dependencies here.
-
Loading a file-like object to Snowflake via Python?
I actually just found a useful comment on https://github.com/snowflakedb/snowflake-connector-python/issues/317 saying that this isn't supported yet. Its fine, I can just go through S3 in the meantime.
jaydebeapi
-
Bulk load Pandas DataFrames into SQL databases using Jaydebeapi
Loading Pandas DataFrames into SQL databases of all names is a common task between all developers working on building data pipelines for their environments or trying to automate ETL jobs generally. And for that, Pandas DataFrame class has the built-in method pandas.DataFrame.to_sql that allows to do so very quickly, for SQLite and all the databases supported by SQLAlchemy library, and when it comes to those who doesn’t have a good support by it ( in my case was IBM DB2 ), developers find themselves forced to think twice for some work around in order to get the job done. Jaydebeapi introduces himself as a good alternative, and it’s particularly seen thus by all developers coming from a Java background and having some familiarities of working with JDBC API to access the database. Let’s start first by creating the database connection. for that reason I will be creating a simple function that takes in params all the informations required and it will give a connection to DB2 as a return.
What are some alternatives?
ibis - the portable Python dataframe library
dataset - Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.
PyPika - PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
sqllex - The most pythonic ORM (for SQLite and PostgreSQL). Seriously, try it out!
q - q - Run SQL directly on delimited files and multi-file sqlite databases
Skytrax-Data-Warehouse - A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.
cinemagoer - Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb (to which we are not affiliated in any way) movie database about movies, people, characters and companies
lemondb - Simple and lightweight document oriented database