python-sql

python-sql

Python Software Foundation
+
+

Related Products

  • Google Cloud BigQuery
    1,983 Ratings
    Visit Website
  • Teradata VantageCloud
    1,105 Ratings
    Visit Website
  • DbVisualizer
    557 Ratings
    Visit Website
  • MongoDB Atlas
    1,650 Ratings
    Visit Website
  • Google Cloud SQL
    548 Ratings
    Visit Website
  • TeamDesk
    92 Ratings
    Visit Website
  • RaimaDB
    12 Ratings
    Visit Website
  • BrandMap® 10
    Visit Website
  • Quickbase
    2,692 Ratings
    Visit Website
  • imgproxy
    15 Ratings
    Visit Website

About

ClickHouse is a fast open-source OLAP database management system. It is column-oriented and allows to generate analytical reports using SQL queries in real-time. ClickHouse's performance exceeds comparable column-oriented database management systems currently available on the market. It processes hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. ClickHouse uses all available hardware to its full potential to process each query as fast as possible. Peak processing performance for a single query stands at more than 2 terabytes per second (after decompression, only used columns). In distributed setup reads are automatically balanced among healthy replicas to avoid increasing latency. ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. All nodes are equal, which allows avoiding having single points of failure.

About

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies of all sizes

Audience

Developers searching for a solution offering a library to write SQL queries

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 3.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ClickHouse
Founded: 2021
United States
clickhouse.com

Company Information

Python Software Foundation
United States
pypi.org/project/python-sql/

Alternatives

Alternatives

Apache Kudu

Apache Kudu

The Apache Software Foundation
NGS-IQ

NGS-IQ

New Generation Software
CelerData Cloud

CelerData Cloud

CelerData

Categories

Categories

Integrations

Amazon Web Services (AWS)
AtomicJar
BI Book
Blink
Cuckoo
DbVisualizer
Embeddable
Explo
Latitude
Manticore Search
Mitzu
OpenMetadata
Peaka
Prisme Analytics
SQL
SigNoz
ToolJet
Wyn Enterprise
Yandex Data Streams
YepCode

Integrations

Amazon Web Services (AWS)
AtomicJar
BI Book
Blink
Cuckoo
DbVisualizer
Embeddable
Explo
Latitude
Manticore Search
Mitzu
OpenMetadata
Peaka
Prisme Analytics
SQL
SigNoz
ToolJet
Wyn Enterprise
Yandex Data Streams
YepCode
Claim ClickHouse and update features and information
Claim ClickHouse and update features and information
Claim python-sql and update features and information
Claim python-sql and update features and information