Software Alternatives & Reviews

Periscope Data Cache VS GoodData

Compare Periscope Data Cache VS GoodData and see what are their differences

Periscope Data Cache logo Periscope Data Cache

150X faster data analysis

GoodData logo GoodData

GoodData provides a cloud-based platform that enables more than 6,000 global businesses to monetize big data.
  • Periscope Data Cache Landing page
    Landing page //
    2023-05-09
  • GoodData Landing page
    Landing page //
    2023-09-26

GoodData is the only analytics platform that provides the creation, delivery, and automated management of analytics at massive scale. We enable companies to embed analytics within their products to deliver insights for their customers, partners, and other users to make business-critical decisions.

Periscope Data Cache videos

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GoodData videos

GoodData Analytical Designer

More videos:

  • Review - GoodData Web Modeler [EN]
  • Review - GoodData Webinar

Category Popularity

0-100% (relative to Periscope Data Cache and GoodData)
Data Dashboard
23 23%
77% 77
Business Intelligence
21 21%
79% 79
Business & Commerce
100 100%
0% 0
Data Analytics
0 0%
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Periscope Data Cache and GoodData

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GoodData Reviews

  1. A cloud-based end-to-end analytics Platform - headless BI - Data as a Service

    🏁 Competitors: Kyligence Zen

Embedded analytics in B2B SaaS: A comparison
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our criteria (based on the evaluation matrix).
Source: medium.com
Top 10 Data Analysis Tools in 2022
GoodData The platform can be used to embed dashboards with options for coding and no coding. The Growth of GoodData plan costs $20/month/workspace. The Enterprise plan has custom pricing. GoodData embedded analytics is an essential tool for software as a service (SaaS) platforms to bring insights and visuals directly to the end users. However, it might be difficult to use...
10 Best Big Data Analytics Tools For Reporting In 2022
GoodData is a big data analytics platform that provides users the tools, runtimes, and storage for data ingestion, preparation, transformation, and analytic queries. They boast 50+ connectors for data ingestion/synchronization and offer an Agile data warehousing system on higher tier plans. Their per-workspace pricing model lets unlimited users access sets of data models,...
Source: theqalead.com
25 Best Reporting Tools for 2022
GoodData is a web-based service. The tool can help you track sales, marketing, social media, and customer service activities. You may deliver completely managed insights with this tool.
Source: hevodata.com

What are some alternatives?

When comparing Periscope Data Cache and GoodData, you can also consider the following products

Alteryx Analytic Process Automation Platform - Analytic Process Automation (APA) delivers automation of analytics, machine learning and data science processes; enabling the agility needed to accelerate digital transformation.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Altair Panopticon - Altair Panopticon is a data visualization software that makes it easier to explore data in many different ways and comes with a powerful programming language that allows users to create their own visualizations.

Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.

Oracle Analytics Cloud - Analytics cloud empowers business analysts and consumers with modern, AI-powered, self-service analytics capabilities for data prep, visualization, reporting, augmented analysis, and natural language.

Sisense - The BI & Dashboard Software to handle multiple, large data sets.