PySpark VeloDB

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PySpark:

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.
VeloDB:

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.
PySpark:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
VeloDB:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
PySpark:

Audience

Application development solution for DevOps teams
VeloDB:

Audience

Organizations interested in a powerful real-time data warehouse
PySpark:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
VeloDB:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
PySpark:

API

Offers API Supported
VeloDB:

API

Offers API Not Supported
PySpark:

Screenshots and Videos

VeloDB:

Screenshots and Videos

PySpark:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
VeloDB:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
PySpark:

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
VeloDB:

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
PySpark:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
VeloDB:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
PySpark:

Company Information

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

Company Information

VeloDB
Founded: 2023
Singapore
www.velodb.io
PySpark:

Alternatives

VeloDB:

Alternatives

Apache Doris

Apache Doris

The Apache Software Foundation
PySpark:
VeloDB:
PySpark:
VeloDB:
PySpark:
Apache Spark

Apache Spark

Apache Software Foundation
VeloDB:
PySpark:
Spark Streaming

Spark Streaming

Apache Software Foundation
VeloDB:
PySpark:

Categories

VeloDB:

Categories

PySpark:

Integrations

Apache Spark Supported
Amazon SageMaker Data Wrangler Supported
Apache Doris Not Supported
Apache Flink Not Supported
Apache Kafka Not Supported
Comet LLM Supported
Feast Supported
Fosfor Decision Cloud Supported
MySQL Not Supported
Tecton Supported
Union Pandera Supported
dbt Not Supported
VeloDB:

Integrations

Apache Spark Supported
Amazon SageMaker Data Wrangler Not Supported
Apache Doris Supported
Apache Flink Supported
Apache Kafka Supported
Comet LLM Not Supported
Feast Not Supported
Fosfor Decision Cloud Not Supported
MySQL Supported
Tecton Not Supported
Union Pandera Not Supported
dbt Supported
PySpark:
Claim PySpark and update features and information
Claim PySpark and update features and information
VeloDB:
Claim VeloDB and update features and information
Claim VeloDB and update features and information