Research alternative solutions to Palantir Gotham on G2, with real user reviews on competing tools. Other important factors to consider when researching alternatives to Palantir Gotham include ease of use and reliability. The best overall Palantir Gotham alternative is Alteryx. Other similar apps like Palantir Gotham are Databricks, Altair AI Studio, Snowflake, and MuleSoft Anypoint Platform. Palantir Gotham alternatives can be found in Master Data Management (MDM) Tools but may also be in Analytics Platforms or Data Warehouse Solutions.
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
Making big data simple
RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code.
Anypoint Platform™ is a complete platform that lets companies realize business transformation through API-led connectivity. It is is a unified, flexible integration platform that solves the most challenging connectivity problems across SOA, SaaS and APIs.
Boomi connects any combination of cloud & on-premise applications directly from the web with no software, coding or appliances to install.
Turn data into action at scale with human and agent collaboration. AND Scale data-driven insights with complete operational confidence. AND Deploy visual, self-service analytics with unmatched control and flexibility.
SAP Analytics Cloud is a multi-cloud solution built for software as a service (SaaS) that provides all analytics and planning capabilities – business intelligence (BI), augmented and predictive analytics, and extended planning and analysis – for all users in one offering.
Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.
The Teradata Database easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.