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Cloud Dataprep VS Azure Synapse Analytics

Compare Cloud Dataprep VS Azure Synapse Analytics and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Cloud Dataprep logo Cloud Dataprep

Cloud Dataprep by Trifacta is a data prep & cleansing service for exploring, cleaning & preparing datasets using a simple drag & drop browser environment

Azure Synapse Analytics logo Azure Synapse Analytics

Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.
  • Cloud Dataprep Landing page
    Landing page //
    2023-09-18
  • Azure Synapse Analytics Landing page
    Landing page //
    2023-03-23

Cloud Dataprep videos

+ Add

Cloud Dataprep Tutorial - Getting Started 101

More videos:

  • Review - Advanced Data Cleanup Techniques using Cloud Dataprep (Cloud Next '19)
  • Demo - Google Cloud Dataprep Premium product demo

Azure Synapse Analytics videos

+ Add

Azure Synapse Analytics - Next-gen Azure SQL Data Warehouse

More videos:

  • Review - Is Azure SQL Data Warehouse the Right SQL Platform for You?

Category Popularity

0-100% (relative to Cloud Dataprep and Azure Synapse Analytics)

Cloud Dataprep

Azure Synapse Analytics

Office & Productivity
53 53%
Office & Productivity
47% 47
Development
52 52%
Development
48% 48
Data Dashboard
58 58%
Data Dashboard
42% 42
Business & Commerce
100 100%
Business & Commerce
0% 0

User comments

Share your experience with using Cloud Dataprep and Azure Synapse Analytics. 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 Cloud Dataprep and Azure Synapse Analytics

Cloud Dataprep Reviews

We have no reviews of Cloud Dataprep yet.
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Azure Synapse Analytics Reviews

Top 6 Cloud Data Warehouses in 2023
Azure Synapse analytics is scalable for large data tables based on its distributed computing. It relies on the MPP (mentioned in the beginning, revisit if you did not grasp it) to quickly run high volumes of complex queries across multiple nodes. With Synapse, there’s an extra emphasis on security and privacy.
Source: geekflare.com
Top 5 BigQuery Alternatives: A Challenge of Complexity
Azure SQL Data Warehouse, now subsumed by Azure Synapse Analytics, brings together the worlds of big data analytics and enterprise data warehousing. Over the years, Azure has made a name for enabling the seamless transfer of data between on-premise and cloud ecosystems.
Source: blog.panoply.io

Social recommendations and mentions

Azure Synapse Analytics might be a bit more popular than Cloud Dataprep. We know about 3 links to it since March 2021 and only 3 links to Cloud Dataprep. 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.

Cloud Dataprep mentions (3)

  • How to upload large excel-sheet file (90MB) to BigQuery
    Check Google Cloud Dataprep – requires no coding, you can normalize & clean up the data as well. I've done this many times, saved me headaches from dirty data in Excel files. Source: almost 2 years ago
  • Data mapping process
    Not sure if I understand the request but a commercial tool I know of is https://cloud.google.com/dataprep - it sounds like that could be helpful but I am not sure. Source: over 2 years ago
  • The beginner GCP user seeking some help from the experts.
    If you need to adjust the underlying data, you can use Cloud Dataprep to do manipulations (here). Source: about 3 years ago

Azure Synapse Analytics mentions (3)

  • Deploying a Data Warehouse with Pulumi and Amazon Redshift
    A data warehouse is a specialized database that's purpose built for gathering and analyzing data. Unlike general-purpose databases like MySQL or PostgreSQL, which are designed to meet the real-time performance and transactional needs of applications, a data warehouse is designed to collect and process the data produced by those applications, collectively and over time, to help you gain insight from it. Examples of... - Source: dev.to / over 1 year ago
  • [WSJ] Facebook Parent Meta Expected to Post Slowest Revenue Growth Since IPO
    You don't run into these kinds of problems with other tools, like the ones I mentioned. I've never tried the Azure ones, but my gut says they may have some scaling issues (synapse analytics looks promising but I have no experience with it). Source: about 2 years ago
  • The Difference Between Data Warehouses, Data Lakes, and Data Lakehouses.
    Popular managed cloud data warehouse solutions include Azure Synapse Analytics, Azure SQL Database, and Amazon Redshift. - Source: dev.to / about 2 years ago

What are some alternatives?

When comparing Cloud Dataprep and Azure Synapse Analytics, you can also consider the following products

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Databricks Unified Analytics Platform - One platform for accelerating data-driven innovation across data engineering, data science & business analytics

GeoSpock - GeoSpock is the platform for data lake management, providing a unified view of the data assets within an organization and making it easily accessible.

Apache Zeppelin - A web-based notebook that enables interactive data analytics.

Delta Lake - Application and Data, Data Stores, and Big Data Tools

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

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