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Google Cloud Dataflow VS Xplenty

Compare Google Cloud Dataflow VS Xplenty and see what are their differences

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Google Cloud Dataflow logo Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Xplenty logo Xplenty

Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • Xplenty Landing page
    Landing page //
    2023-09-18

Xplenty is a cloud-based ETL (extract, transform, load), ELT (extract, load, transform), and Reverse ETL data integration platform that easily unites multiple data sources. The Xplenty platform offers a simple, intuitive visual interface for building data pipelines between a large number of sources and destinations. Contact us for a free 14 day trial on the platform.

Google Cloud Dataflow

Website
cloud.google.com
$ Details
-
Platforms
-
Release Date
-
Edit details

Xplenty

Website
xplenty.com
$ Details
Free Trial
Platforms
Cloud Salesforce REST API
Release Date
2012 January
Edit details

Google Cloud Dataflow videos

+ Add

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • Review - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • Review - Apache Beam and Google Cloud Dataflow

Xplenty videos

+ Add

Xplenty - The Leading Data Integration Platform

More videos:

  • Demo - Create a Customer 360 View with Xplenty & Salesforce
  • Review - Xplenty Customer Story - CloudFactory

Category Popularity

0-100% (relative to Google Cloud Dataflow and Xplenty)

Google Cloud Dataflow

Xplenty

Big Data
100 100%
Big Data
0% 0
Data Integration
0 0%
Data Integration
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
ETL
0 0%
ETL
100% 100

User comments

Share your experience with using Google Cloud Dataflow and Xplenty. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Dataflow and Xplenty

Google Cloud Dataflow Reviews

Top 8 Apache Airflow Alternatives in 2024
Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify large-scale data processing. Such prepared data is ready for analysis for Google BigQuery or other analytics tools for prediction, personalization, and other purposes.
Source: blog.skyvia.com

Xplenty Reviews

Top 7 ETL Tools for 2021
Scalability, security, and excellent customer support are a few more advantages of Xplenty. For example, Xplenty has a new feature called Field Level Encryption, which allows users to encrypt and decrypt data fields using their own encryption key. Xplenty also makes sure to maintain regulatory compliance to laws like HIPPA, GDPR, and CCPA.
Source: www.xplenty.com
The 11 Best Low-Code Development Platforms
Xplenty is a low-code and no-code ETL (extract, transfer and load) data integration platform. It is made for both small, non-technical businesses and for deeply technical developers and engineers. It allows users to easily build data pipelines to and from over 100 data sources and destinations. Xplenty provides versatility, customization, and pre-built integrations to...
Source: www.xplenty.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
Customer Story Keith connected multiple data sources with Amazon Redshift to transform, organize and analyze their customer data. Amazon Redshift Keith Slater Senior Developer at Creative Anvil Before we started with Xplenty, we were trying to move data from many different data sources into Redshift. Xplenty has helped us do that quickly and easily. The best feature of the...
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Google Cloud Dataflow seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Dataflow mentions (14)

  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
  • Best way to export several GCP datasets to AWS?
    You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
  • Why we don’t use Spark
    It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / almost 2 years ago
View more

Xplenty mentions (0)

We have not tracked any mentions of Xplenty yet. Tracking of Xplenty recommendations started around Mar 2021.

What are some alternatives?

When comparing Google Cloud Dataflow and Xplenty, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Matillion - Matillion is a cloud-based data integration software.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Talend Data Services Platform - Talend Data Services Platform is a single solution for data and application integration to deliver projects faster at a lower cost.

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