Software Alternatives & Reviews

CKAN VS Azure Synapse Analytics

Compare CKAN VS Azure Synapse Analytics and see what are their differences

CKAN logo CKAN

CKAN is a data management system that offers tools to streamline publishing, sharing, finding and using data.

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.
  • CKAN Landing page
    Landing page //
    2023-03-19
  • Azure Synapse Analytics Landing page
    Landing page //
    2023-03-23

CKAN videos

KSP4Kids Tool Review - CKAN

More videos:

  • Review - Take a CKAN Tour
  • Review - KSP Easy Mods Episode 1 - Installing and Managing Mods with CKAN

Azure Synapse Analytics videos

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 CKAN and Azure Synapse Analytics)
OS & Utilities
100 100%
0% 0
Office & Productivity
0 0%
100% 100
CRM
100 100%
0% 0
Development
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare CKAN and Azure Synapse Analytics

CKAN Reviews

We have no reviews of CKAN 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

CKAN might be a bit more popular than Azure Synapse Analytics. We know about 4 links to it since March 2021 and only 3 links to Azure Synapse Analytics. 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.

CKAN mentions (4)

  • Metadata Store - Which one to Choose ? OpenMetadata vs Datahub ?
    We use Kubernetes as our deployment platform. Any feedback on one of these open source data catalogs ? - https://atlas.apache.org/#/ - https://opendatadiscovery.org/ - https://open-metadata.org/ - https://marquezproject.github.io/marquez/ - https://datahubproject.io/ - https://www.amundsen.io/ - https://ckan.org/ - https://magda.io/. Source: over 1 year ago
  • What 'tool' is used to build OpenData sites?
    CKAN (https://ckan.org/) is what data.gov and most state governments use. Source: almost 2 years ago
  • Software and tools for (non-human) genomics data platform
    Our first instinct is to use [CKAN](https://ckan.org) for cataloging (and storage, with modifications), especially since we know it and know that it has been used successfully elsewhere. However, we suspect that more specialized/better tools exist for this, thus why I kindly ask for your insights. Source: over 2 years ago
  • We are digitisers at the Natural History Museum in London, on a mission to digitise 80 million specimens and free their data to the world. Ask us anything!
    We publish all our data on the [Data Portal](https://data.nhm.ac.uk), a Museum project that's been running since 2014. Instead of MediaWiki it runs on an open-source Python framework called [CKAN](https://ckan.org), which is designed for hosting datasets - though we've had to adapt it in various ways so that it can handle such large amounts of data. 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 CKAN and Azure Synapse Analytics, you can also consider the following products

Azure Cloud Shell - A few months ago, we started the journey to bring the PowerShell experience to Azure Cloud Shell.

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

Hubot - Hubot is a standardized way to share scripts between everyone's robots.

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

CloudShell - Cloud Shell is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.

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.