Einstein Analytics vs Oracle Analytics Cloud

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Our analysts compared Einstein Analytics vs Oracle Analytics Cloud based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

Einstein Analytics Software Tool

Product Basics

Einstein Analytics is a suite of analytics applications that use artificial intelligence to supply insights. With predictive, tailored analytics, it can build AI data visualizations and deliver recommendations to help companies accomplish their business goals. Developed by Salesforce, it integrates natively with their CRM to boost understanding of sales pipelines and customer satisfaction.

It offers three editions: Predictions, Analytics Growth and Analytics Plus. Until 2017, it was known as Salesforce Analytics Cloud or Wave.
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Oracle Analytics Cloud is a public cloud service on which you can build and run reporting and analytics solutions. It can also manage data from Oracle Database and Oracle Autonomous Data Warehouse. Pairing it with Oracle Data Integration can help you move and transform data at scale. But that’s not all. You can build and deploy analytics applications even with non-Oracle systems. However, the level of integration and capabilities may differ.

You’ll need an Oracle Cloud account, and a free trial is available. Oracle customizes the view for you, whether you’re a web app developer, account admin or cloud architect. Workbooks and dashboards enable data exploration. You can set it up so the system sends reports to selected users on schedule. Governed analytics is available; your data stays secure. Annotations, export options and integration with social platforms are other capabilities.

Two pricing tiers are available. The Professional edition has self-serve analytics, direct source connections and dataflows for preparing content. It costs $16 per user monthly.

The Enterprise edition lets you enrich data, connect to private sources and build semantic models. You can track usage and set encryption keys, all at a cost of $80 per user monthly. Opt for a user or consumption model based on OCPUs (Oracle CPUs).

The user reviews were an interesting read. I haven’t seen many products with such strongly divided opinions. In all positive reviews, over 70% of the users voted for a specific feature, indicating a high level of user satisfaction and perceived value. On the flip side, over 87% of users said price and a steep learning curve were blockers to successful adoption.

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$75/User, Monthly
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Tailored to your specific needs
$16/User, Monthly
Get a free price quote
Tailored to your specific needs
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Product Assistance

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Product Insights

  • Predictive Analytics: Automatically generates models and precise recommendations based on insights gleaned from relevant data, with the power of artificial intelligence.
  • Achieve Faster ROI: Spend less time cleaning up data and more time selling products and converting leads.
  • Native Salesforce Integration: Connects seamlessly with Salesforce, supplementing the CRM platform with crucial BI.
  • Unify Your Systems: Bring all data onto one screen to get the complete picture with data connectors to any platform, including external systems.
  • Simplicity of Use: Create data visualizations that make sense with ready-to-use customizable templates that eliminate the need to have coding knowledge.
  • Free Trial: Sign up for a free 30-day trial on the vendor’s website.
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  • Leverage ML: According to our research, Oracle Analytics Cloud gets the top score of 76 for augmented analytics. The Explain and AutoML functionalities and one-click predictions give it an edge over other competitors like Qlik Sense and
  • Generate Reports: Oracle Analytics Cloud scores 93 in our analyst rankings with instant and planned reports that are interactive and accept conditional formatting. Plus, it supports text and voice searches even on the mobile app.
  • Monitor Usage: Track expenses with the Billing tab on the Oracle Cloud Console. Keep tabs on usage with a dedicated tool, Oracle Cost Analysis, included with your Oracle Cloud subscription.
  • Try for Free: Sign up for a free Oracle Cloud trial and get access to the Autonomous Database and Object Storage. You’ll need to sign in with your credit card details. The vendor deducts a token account verification amount from your card, which they return promptly. For me, it was annoying as they deducted it again three days later. Get $300 credits for 30 days to use the Analytics Cloud, Data Integration and the Container Engine for Kubernetes.
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  • Role-Specific Analytics: Leverage its prebuilt templates and native apps designed to maximize insights with customizable best-practice KPIs in specific industries, including sales, customer service, financial advising, B2B marketing, fundraising and more.
  • Actionable AI: Build AI-powered applications and models that explore millions of data combinations and trends in minutes, even without knowing code. Generate predictions and what-if scenarios for the business. 
  • Self-Service BI: Customize the queries and looks of analytics applications to target the information needed for specific decisions. 
  • All-Around Insights: Gather all information in one place by connecting to any external data source, including AWS Redshift, Salesforce CRM, Microsoft Dynamics, Google BigQuery and more.  
  • Team Collaboration: Quickly share assets and take action together with colleagues with smart notifications, annotations, presentation mode, downloadable analytics, updates via email subscription and native integration with Salesforce Chatter.  
  • Mobile Ready: Download apps compatible with iOS and Android platforms that support many of the available analytics features.  
  • Continuous Upgrades: Avail new features and enhancements released by the Salesforce platform three times a year in winter, spring and summer.  
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  • Deployment: Install and run anywhere, including as a hybrid solution. Scale the instance depending on your workload — deploy OCPUs in multiples of two, extending up to 52. Or pause it when idle. Though identity management is available, there is the option to use one’s own SSO provider. Admins can set user, group and role-based permissions.
  • Connectivity: Make decisions based on data; connect to social media feeds, data lakes and IoT sources. Store and process data at scale, irrespective of its volume, velocity and variety. Get started as soon as you log in with over 40 readymade connectors.
  • Direct Query: Oracle Analytics Cloud uses live queries and data caching to fetch responses. Each has its downside. Live connections are heavier on the system, and you might have to compromise on data freshness with data caching. A combination of both might be best. Consider live queries for critical KPIs and data caching for less frequent queries.
  • Data Preparation: Enrich data from the interface — get data quality insights as you work. Remove the grunt work — create reusable flows for transforming data you can test, share and schedule. Add custom calculations or write regular expressions in the dataset editor.
  • Semantic Data Modeling: Engage business, dev and data teams in meaningful discussions. Give them data views with a presentation layer that simplifies metrics. Hide the physical data structure with a logical one that speaks the business language. Give stakeholders the power to explore data independently.
  • AI/ML: Boost productivity with embedded machine learning and natural language insights every step of the way. Display quick forecasts, trend lines and clusters from a popup menu with one click. View the basic facts, key drivers and anomalies with the Explain option. Hit the ground running with recommendations on dimensions, measures and attributes to use when you don’t know where to start.
  • Oracle Analytics Publisher: Generate reports from any dataset or semantic model. Create formatted documents unique to your business, be it shipping labels, checks, letters or PDF forms.
  • Data Visualizations: Put your best foot forward with suitable charts and graphs that convey your message effectively. Modify them to answer users’ questions better. Choose from over 45 visualization types, or build your own using extensions from its vast library.
  • Embedded AI On Mobile: Get real-time alerts and intelligent recommendations on mobile. The Oracle Analytics mobile app captures your preferences and location. Upload datasets just like on the desktop or create a workbook from existing data. Powerful searches enable access to your favorite worksheets; add them to your home screen for a quick view. Use voice-enabled searches and listen to the results as a podcast.
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Product Ranking

#168

among all
Business Intelligence Tools

#10

among all
Business Intelligence Tools

Find out who the leaders are

Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Einstein Analytics
Oracle Analytics Cloud
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Advanced Analytics Augmented Analytics Data Management Data Pre-processing Data Transformation Data Visualization Embedded Analytics Capabilities Geospatial Visualizations And Analysis Mobile Capabilities Platform Capabilities Reporting 88 82 100 100 100 100 71 100 79 83 98 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Great User Sentiment 1161 reviews
Great User Sentiment 719 reviews
83%
of users recommend this product

Einstein Analytics has a 'great' User Satisfaction Rating of 83% when considering 1161 user reviews from 4 recognized software review sites.

84%
of users recommend this product

Oracle Analytics Cloud has a 'great' User Satisfaction Rating of 84% when considering 719 user reviews from 4 recognized software review sites.

4.2 (302)
4.0 (228)
4.3 (60)
4.1 (59)
4.3 (169)
4.3 (316)
4.1 (630)
4.3 (116)

Awards

we're gathering data

SelectHub research analysts have evaluated Oracle Analytics Cloud and concluded it earns best-in-class honors for Augmented Analytics, Data Pre-processing and Geospatial Visualizations and Analysis.

Augmented Analytics Award
Data Pre-processing Award
Geospatial Visualizations and Analysis Award

Synopsis of User Ratings and Reviews

Data Analysis: Citing its strong AI and machine learning features, all users who discussed the platform’s analytical capabilities said that it helps deliver business intelligence insights.
Data Visualization: Reviewing visualization capabilities, approximately 79% of users said that its clear and custom dashboards make business data easy to understand from a KPI point of view.
Data Integration: Around 76% of users who discussed data connectivity said that the platform connects easily to a wide range of data sources for advanced analytics.
Functionality: Reviewing functionality, around 65% of users said that, supported by regular updates that address user requests, the tool is feature-rich and stable.
Ease of Use: Discussing the interface, approximately 61% of users said the software is easy to use and aesthetically elegant.
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User-Friendly: Citing its interface, about 91% of users agreed that a drag-and-drop UI makes it easy to use.
Machine Learning: Around 86% of users who discussed augmented analytics were impressed with its ML capabilities.
Integrations: Approximately 84% of users who mentioned connectivity said the platform worked well with other systems, especially Oracle products.
Functionality: According to 83% of users who reviewed capabilities, it has all the required features to support data tasks.
Data Visualization: Around 73% of users who mentioned visualization praised the platform for its storytelling features.
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Cost: Citing per-user licensing plans and additional fees for on-premise installation, maintenance and add-ons, around 80% of users said that costs can quickly add up.
Performance: Around 78% of users who reviewed the solution for performance said that it is slow and prone to infrequent crashes, especially when uploading large amounts of data.
Setup: Approximately 67% of users who reviewed ease of deployment said that configuring the platform can be difficult if done without professional support.
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Price: About 88% of reviews citing pricing said that it’s too expensive.
Adoption: Approximately 87% of users who discussed onboarding said there’s a significant learning curve.
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Einstein Analytics from Salesforce is a predictive analytics BI tool that uses the power of AI and machine learning to glean insights and create visualizations and reports to drive business decisions. All users who reviewed its analytics capabilities said that it excels at augmented analytics. Many users who reviewed data visualization said that templates and dashboards are easy to customize for deep-dive data exploration. With a range of reporting options and intuitive drag-and-drop functionality, the platform empowers business users to create their own reports without needing to code. Being part of the Salesforce suite, the platform integrates well with other SF offerings, as expected, as well as with external data sources. As for the tool’s data management capabilities, some users said that ETL functions are self-contained in that they replace the need to write code, however others said that data needs to be cleansed before the ETL engine can consume it for data analysis. Commenting on the software’s functionality, around 68% of users said that it is easy to drill down into KPIs with little training in analytics, whereas some users said that the platform is sparse in terms of features and does not have the same reporting capabilities as other Salesforce tools. Mentioning the interface, a majority of users said that it is clean and interactive, though quite a few users said that they preferred the classic version to the new one. A majority of the users who reviewed pricing said that, in addition to expensive per-user licenses, other costs can quickly add up, since implementation is not easy and often requires professional vendor support. Many users who discussed setup said that the platform struggles when processing large amounts of data, and plugins are needed to process heavier data sets, which further compounds costs. Quite a few users said that the platform performs well within the Salesforce ecosystem; however, it does not have the robustness and flexibility of Tableau. Overall, Einstein Analytics is a BI tool with strong out of the box ETL and data visualization capabilities that glean deeper insights into business metrics and seems to be suited for organizations with lightweight data analysis needs or those that already implement Salesforce solutions.

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Oracle Analytics Cloud is among the vendor’s many data services, including a business intelligence suite and a data intelligence platform. Besides, Oracle offers bespoke solutions for HCM, supply chain and customer experience. What differentiates Oracle Analytics is that extra dash of augmented capabilities.Embedded BI is where it truly shines, giving you natural language insights with a single click. This feature extends to its mobile app, and it outperforms many leading platforms with natural language queries and podcasts on mobile.According to our researchers, Oracle Analytics Cloud has fewer out-of-the-box features than its competitors, such as Power BI and Qlik Sense. Plus, licensing becomes complex when combining the database, middleware and analytics applications.It’s common for large vendors to offer specialized platforms, but the downside is that they can be out of reach of small organizations. But there’s a silver lining. Many vendors offer customized solutions, so we advise reaching out to the vendor for quotes.Users appreciate its regular updates, but some report initial bugs due to its relative newness. Despite a positive user experience, the learning curve can be steep. Some users found technical support slow and inadequate, as did I. They took two business days to get back to me when I needed assistance with my account.Oracle Analytics, though a robust platform, is suitable for mid- and large organizations. If you seek a powerful, scalable platform, consider opting for a trial, but be prepared for sticker shock, especially if you’re new to the Oracle ecosystem.

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