remove note

necessario# especially if it merges an updated upstream into a topic branch.

Readme.md

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+## Benchmark Fastest Timeseries alternatives: ClickHouse Vs. InfluxDB Vs. Postgresql Vs. Parquet  Vs. MongoDB Vs. DuckDB Vs Kdb+
+
+-----
+
+#### How to use:
+* Run:
+```
+mkdir data
+pip install requirements.txt
+```
+* Rename the file "properties-model.ini" to "properties.ini"
+* Fill with your own credentials
+
+
+----
+
+The proposal of this work is to compare the speed in read/writing a specific amount of data, in this case, a dataset with 9 columns and 1.000.000 lines) calculating medium ingestion time betwenn seven diferent databases:
+* ClickHouse
+* InfluxDB
+* Postgresql
+* Parquet (in a S3 Minio Storage)<br>
+* DuckDB 
+* MongoDB
+* Kdb+
+

properties-model.ini

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+[CLICKHOUSE]
+user = your_user_or_email
+key = your_key_or_password
+url = url_of_the_server
+
+[INFLUXDB]
+user = your_user_or_email
+key = your_key_or_password
+url = url_of_the_server
+
+[POSTGRESQL]
+user = your_user_or_email
+key = your_key_or_password
+url = url_of_the_server
+
+[S3MINIO]
+user = your_user_or_email
+key = your_key_or_password
+url = url_of_the_server
+
+[MONGODB]
+user = your_user_or_email
+key = your_key_or_password
+url = url_of_the_server

requirements.txt

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+clickhouse_driver==0.2.6
+duckdb==0.8.0
+influxdb_client==1.36.1
+matplotlib==3.7.1
+minio==7.1.14
+numpy==1.23.1
+pandas==1.5.3
+pdmongo==0.3.4
+pymongo==4.3.3
+python-dotenv==1.0.0
+pytz==2022.7
+pytz==2023.3
+qbstyles==0.1.4
+qPython==2.0.0
+SQLAlchemy==1.4.48