Looking for an alternative to Alteryx?
CARTO is the leading cloud native analytics platform. Design and automate rapid, scalable & cost-effective analysis pipelines. See why data scientists, and analysts are making the switch.
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Fully cloud native
Connect directly to your data warehouse and run advanced analysis pipelines, with all data stored within your existing cloud data infrastructure.
Powerful no-code features
Intuitive analytics workflow design and automation features. A wealth of data prep and analysis components, so you can execute scalable cloud-native analysis, fast.
No limits on scalability
Design, execute and share data prep & analysis pipelines, natively in your cloud data warehouse. Scalability and performance, without the high cost.
Why choose CARTO over Alteryx?
CARTO vs Alteryx at a glance
The leading cloud-native spatial analytics platform.
A data science and analytics automation platform.
CARTO
An integrated cloud-native analytics platform, that includes orchestrated workflows, interactive mapping, data and app development tools.
Alteryx
A desktop and cloud-deployed analytics platform that supports data workflows to ingest, manipulate, analyze, and output data.
CARTO
Fully cloud native architecture with no limitations on multiple data warehouses.
All queries are run natively on the data warehouse, and no data is stored in CARTO.
Alteryx
Multiple connectors to a variety of data sources.
Cloud data warehouse connections (ODBC or JDBC) require duplication of data into the Alteryx desktop or cloud platform environment.
CARTO
CARTO leverages your cloud data warehouse for queries and analyses, served via a simple API layer (no ODBC or JDBC connection required).
Alteryx
Alteryx supports connectivity with BigQuery, Redshift and Snowflake, using legacy technologies, such as ODBC. Cloud support and data scalability is limited.
CARTO
+130 individual data preparation and analysis components. They run natively in the cloud data warehouse environment, using Spatial SQL through our comprehensive Analytics Toolbox.
Alteryx
Currently 240 individual analysis components available in the desktop application, and 29 components for the Alteryx Analytics Cloud Platform.
CARTO
CARTO's Data Observatory provides seamless access to over 12,000 public and premium datasets from a variety of vetted data providers, with global coverage.
Alteryx
Alteryx provides additional data packages in limited geographies, with most datasets only available for the USA.
CARTO
CARTO Workflows supports cloud native machine learning and GenAI models embedded in each data warehouse, such as BigQuery ML and VertexAI.
Alteryx
Machine Learning is supported in Alteryx through an add-on, with its own additional pricing structure.
CARTO
Comprehensive cloud native Location Intelligence and mapping dashboards are available using CARTO's leading drag-and-drop Builder tool.
Alteryx
Mapping capabilities are available in a stand-alone application in the cloud. Limited mapping features are available in the desktop version of Alteryx.
CARTO
SaaS, self-hosted and hybrid deployment options are available. CARTO Self-Hosted can be deployed with Docker Compose or Kubernetes.
Alteryx
Alteryx Desktop is installed on your computer or server, and only runs on Windows. Alteryx Analytics Cloud Platform is a SaaS cloud-hosted option.
CARTO
CARTO sets out clear, all-inclusive pricing with no hidden fees, or variable costs based on "credits". Our flexible license model allows for unlimited users, and map viewers without requiring named user accounts.
Alteryx
Alteryx has a seat-based pricing model. Further user fees apply for key add-ons such as Location Intelligence, Machine Learning, server deployment, and data packages.
CARTO
A single API layer used in all platform products. Workflows can be surfaced as an API and called to trigger workflow execution, retrieve results or ingest external data.
Alteryx
Calls to the Alteryx Engine via API are possible, but require knowledge of C++
CARTO
CARTO uses and contributes to several open source libraries, including deck.gl, Geoparquet, etc.
Alteryx
Alteryx is a closed-source product, but it can integrate with some open source tools.
Rapidly carry out spatial analysis
Data Analysts starting out in location analytics or Data Scientists creating machine-learning models can use the CARTO platform to speed up insight generation. Workflows let you design, execute and automate analytics using a visual, no-code tool. Run advanced cloud-native analysis with our comprehensive Analytics Toolbox.
Easily connect your spatial data
CARTO integrates natively with the leading cloud data platforms and analytics tools, including Google BigQuery, Snowflake, Amazon Redshift and Databricks.
Build powerful Location Intelligence apps & visualizations
Visualization shouldn’t just be pretty maps, it should answer a business question. With CARTO, you can rapidly build Location Intelligence apps using our developer resources and templates. Our cloud native Dynamic Tiling technology provides a cost-effective and performant solution for visualizing spatial data at scale.
Access more than 12,000 geospatial datasets
Our Data Observatory makes it simple for enterprise organizations to access thousands of "always-on" public & premium datasets, enhancing their spatial analysis with data such as demographics, POIs, human mobility, financial and much more.
Get inspired by our customers
“CARTO makes map making easy. I can quickly pull the data in, get it on a map, do some light SQL & then share. Collaboration is easy & within a couple of hours we can have a really great visual product to share with decision-makers.”
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“CARTO’s Location Intelligence platform lets us visualize massive sets of data hosted in Google BigQuery. Thanks to this cloud-native approach to spatial analytics, we have overcome challenges related to scalability and security, and can serve our customers even better."
“Using CARTO has enabled us to analyze service qualification at a much larger scale due to its comprehensive support for a wide range of functions and libraries including spatial indexes. This is a gamechanger, modernizing our GIS stack.”
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