+
+

Related Products

  • Google Cloud Platform
    60,933 Ratings
    Visit Website
  • SenseIP
    1 Rating
    Visit Website
  • Google Cloud BigQuery
    2,018 Ratings
    Visit Website
  • Snowflake
    1,417 Ratings
    Visit Website
  • Highcharts
    123 Ratings
    Visit Website
  • Teradata VantageCloud
    1,107 Ratings
    Visit Website
  • QuantaStor
    6 Ratings
    Visit Website
  • Google Cloud Run
    343 Ratings
    Visit Website
  • QUODD
    Visit Website
  • Apify
    1,291 Ratings
    Visit Website

About

PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics.

About

Powered by Apache Doris, VeloDB is a modern data warehouse for lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within seconds. Storage engine with real-time upsert、append and pre-aggregation. Unparalleled performance in both real-time data serving and interactive ad-hoc queries. Not just structured but also semi-structured data. Not just real-time analytics but also batch processing. Not just run queries against internal data but also work as a federate query engine to access external data lakes and databases. Distributed design to support linear scalability. Whether on-premise deployment or cloud service, separation or integration of storage and compute, resource usage can be flexibly and efficiently adjusted according to workload requirements. Built on and fully compatible with open source Apache Doris. Support MySQL protocol, functions, and SQL for easy integration with other data tools.

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

Application development solution for DevOps teams

Audience

Organizations interested in a powerful real-time data warehouse

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

No information available.
Free Version
Free Trial

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

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

PySpark
spark.apache.org/docs/latest/api/python/

Company Information

VeloDB
Founded: 2023
Singapore
www.velodb.io

Alternatives

Alternatives

Apache Doris

Apache Doris

The Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
Spark Streaming

Spark Streaming

Apache Software Foundation

Categories

Categories

Integrations

Apache Spark
Amazon SageMaker Data Wrangler
Apache Doris
Apache Flink
Apache Kafka
Comet LLM
Feast
Fosfor Decision Cloud
MySQL
Tecton
Union Pandera
dbt

Integrations

Apache Spark
Amazon SageMaker Data Wrangler
Apache Doris
Apache Flink
Apache Kafka
Comet LLM
Feast
Fosfor Decision Cloud
MySQL
Tecton
Union Pandera
dbt
Claim PySpark and update features and information
Claim PySpark and update features and information
Claim VeloDB and update features and information
Claim VeloDB and update features and information