Sisense For Cloud Data Teams vs Oracle Business Intelligence Cloud Services

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Our analysts compared Sisense For Cloud Data Teams vs Oracle Business Intelligence Cloud Services 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.

Sisense For Cloud Data Teams Software Tool
Oracle Business Intelligence Cloud Services Software Tool

Product Basics

Formerly known as Periscope Data, Sisense for Cloud Data Teams is a data analytics software tool that integrates seamlessly with the Sisense platform, offering advanced analytics that delivers actionable insights to teams that work with data in the cloud. It provides a single, cohesive interface for users to store, organize, analyze and visualize all their data for better decision-making. It empowers users of all kinds to produce, consume and share insights intuitively together, with or without coding knowledge.

Originally founded in 2012 in San Francisco, California, it was acquired by Sisense in May 2019 and rebranded in January 2020.
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Oracle Business Intelligence Cloud Services (BICS) helps organizations transform raw data into actionable insights through a suite of cloud-based tools. It allows users to gather, store, analyze, and visualize data to make data-driven decisions. BICS is ideal for businesses of all sizes seeking comprehensive BI solutions without the need for extensive on-premises infrastructure. Key benefits include centralized data access, self-service analytics, and pre-built dashboards for quick insights. Popular features include interactive dashboards, data exploration tools, and mobile access for on-the-go analysis. User reviews highlight BICS' scalability, ease of use, and powerful data analysis capabilities. Pricing varies based on deployment options and features selected. Subscription models offer flexible payment options and scalability. Compared to similar products, BICS offers competitive pricing and a comprehensive set of features, making it a strong choice for businesses seeking a robust and cost-effective BI solution.

Pros
  • Scalable
  • Easy to use
  • Powerful data analysis
  • Mobile access
  • Competitive pricing
Cons
  • Limited customization
  • Steep learning curve for advanced features
  • Limited data connectors
  • Potential vendor lock-in
  • Limited customer support
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Product Insights

  • Transforms Data Fast: Perform timely data querying and large-scale data ingestion for any volume of workload, through the analytics warehouse integration. Plug the data engine directly into cloud databases and optimize raw data by bypassing steps of the ETL process. Enable hassle-free data import via proprietary data caching technology
  • Centralized Data Warehouse: Creates a single source of truth by ingesting and storing data where it’s analyzed, speeding up analytics processes.
  • Ease of Use: Explore data and visualize trends through simple search query language, rather than via coding or modeling, making it an accessible solution for users of all technical skill levels.
  • Stats at a Glance: Understand and parse the results of data queries through Summary Statistics, without needing to write more SQL while exploring data and building models.
  • Reusable Analysis: Save time by storing frequently used in-house codes for swift collaboration without needing to start new queries from scratch.
  • Collaborative Insights: Enable collaboration between analysts and decision-makers through programming and self-service analytics combined. Hand off data analysis between teams, then publish and share insights with others via direct linking, password-protected links, email or Slack.
  • Self-Service BI: Pinpoint important data points in minutes, with reusable formulas and ad hoc analysis modeling that query data and return answers in real time.
  • R, Python and SQL On One Platform: Develop more advanced analytics processes with any programming language, with support for SQL, Python and R all in the same environment. Integrate open-source programming and formulas from other packages or libraries.
  • Scalability: Incorporate more complex datasets, higher volumes of data, more users and more, as the solution grows with the company.
  • Security: Have confidence in data security, with a cloud security infrastructure that upholds industry wide best practices and standards. Encrypt all traffic between users’ web browsers and Sisense’s servers, and for additional user-level security, manage data permissions, TFA and single sign-on functionality.
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  • Business Insights: Offers users the ability to get a deeper understanding of what is happening in their business on a day-to-day basis as well as from a broad overview perspective.
  • Strategic Predictions: Using historical data, users can make more accurate predictions and forecasts of future business results.
  • Smart Visualizations: Users can create stunning graphics with an intuitive drag-and-drop interface and easily adjust layouts. The solution offers users the optimal visualization for the type of data selected, but users can also change the visualization type to view data from multiple angles.
  • Interconnected Interface: Data and visualizations are tied together. Therefore, highlighting data within a certain visual automatically highlights correlating data in other visuals, easily revealing patterns and trends that may not have been obvious.
  • Ease of Use: Simple, clean UI offers easy navigation through the homepage, answers page and dashboards. Nesting and borders in the interface help users stay focused on the data instead of distracting elements of the application.
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  • Native Data Connectors: Blend data together into a single accessible database via an ecosystem of native data connectors and ETL partners.
  • Cloud Data Pipelines: Control when and how often data is refreshed and what the flow of information looks like. Gain visibility and control over data pipelines with a flexible, low maintenance solution.
  • Data Discovery: Directly access CSVs and data sets curated by analysts and interact with these insights through a drag-and-drop interface that does not require fluency in SQL. 
  • Git Integration: Grant developers complete control over their analytics environment through Git integration, sophisticated version control, release management workflows as well as file-level access to all user-generated content, like reports. Create, edit, sync and delete all settings through Git. 
  • Model-as-You-Go: Perform ad-hoc analysis to answer crucial questions at the click of a button by generating custom, on-the-fly data models.
  • Data Visualization: Create and share advanced, highly customizable data visualizations, including scatter plots, bar charts, bubble charts, bullet charts, funnel charts, waterfall charts, control charts, Gantt charts, radial bar charts and more.
  • SQL Editor Tools: Shorten the amount of time necessary to go from query to answer with powerful SQL writing tools, such as query revision history, views, filters, autocomplete suggestions, formatting and more. 
  • Learn SQL: Experiment with SQL programming language and data querying via drag-and-drop fields and see how the results change. Encourage users who aren’t fluent in SQL to become more familiar with it.
  • Code Library: Reduce repetitive data entry tasks and save time for subsequent report generation. Store frequently used code in a common library via Snippets for easy access later. 
  • Spaces: Manage data-level permissions to gate and restrict access to sensitive data and customize dashboards on a per-organization basis.
  • Share and Embed: Share dashboards via password-protection enabled public URLs or embedding inside other web applications or web portals. Download dashboards as static PDF images for uses such as email distribution.
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  • Visual Analytics: Creates graphical visualizations of data to make analyzing insights faster, easier and more accessible.
  • Connected Interface: Data and all visualizations are all tied together, and changes or highlighting in one will be mirrored in the others. This dynamic experience lets visualizations function as connected filters and guiding users through their exploration.
  • Data Blending: Infers correlations between data sets to easily mash personal with managed data. Extends dimensions to add facts or improve the timeliness and relevance of analysis.
  • Mobile Application: Provides an agile mobile experience spanning users’ data portfolio that offers a consistent interface with the desktop application. Users can access analytics instantly on any device.
  • Range of Report Types: The system offers a variety of report types including ad-hoc queries and analysis, enterprise reporting, dashboards, mobile analytics, multidimensional OLAP, scorecards and predictive analytics.
  • BI Server: In-memory optimizations provide quick rollups, powerful compression, faster rollups and sophisticated memory usage for a range of data sizes.
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Product Ranking

#16

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Business Intelligence Tools

#396

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Business Intelligence Tools

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User Sentiment Summary

Great User Sentiment 140 reviews
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87%
of users recommend this product

Sisense For Cloud Data Teams has a 'great' User Satisfaction Rating of 87% when considering 140 user reviews from 4 recognized software review sites.

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4.5 (72)
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4.3 (33)
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4.8 (4)
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4.1 (31)
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Synopsis of User Ratings and Reviews

Data Querying: Almost 77% of users who mentioned data querying and data modeling said that this solution allows them to perform data queries of almost any kind.
Data Visualization: Of the users who mentioned data visualization, about 75% said that this tool excels at creating easily understandable graphics and visuals.
Sharing and Collaboration: Approximately 88% of users who mentioned this feature said that this solution facilitates strong collaboration on data analysis internally, while allowing for easy external sharing.
Implementation: In reference to setting up the platform, about 90% of users said that the process was smooth and quick.
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Scalability: Easily scales to accommodate growing data volumes and user needs.
Ease of Use: User-friendly interface and intuitive features for both technical and non-technical users.
Self-Service Analytics: Empowers users across departments to explore data and generate insights without relying on IT.
Data Integration: Integrates data from various sources into a single platform for a unified view of business performance.
Powerful Data Analysis: Advanced data exploration and analysis tools for uncovering hidden trends and patterns.
Mobile Access: Access data and insights from anywhere, anytime on mobile devices.
Cost-Effectiveness: Competitive pricing and flexible subscription options make it accessible for businesses of all sizes.
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Reliance on SQL: While it excels in data querying, around 78% of users said that SQL knowledge is necessary to use this platform.
Self-Service Analytics: About 80% of users reviewing this feature said that data analysis is not truly self-service, requiring the involvement of a hands-on IT or analyst team.
Cost: Of the users who reviewed the cost of this tool, almost 86% of them found it too expensive, especially for smaller companies.
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Limited Customization: Pre-built dashboards and reports offer limited flexibility for advanced users.
Steep Learning Curve for Advanced Features: Mastering advanced features requires significant training and technical expertise.
Limited Data Connectors: May not support all specific data sources required by some businesses.
Potential Vendor Lock-in: Migrating data and insights to another platform can be complex and time-consuming.
Limited Customer Support: Some users report challenges in accessing timely and comprehensive customer support.
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Sisense for Cloud Data Teams is a powerful BI tool that excels in the hands of data analysts with coding knowledge. These analysts will be able to model, manage, prepare, manipulate and analyze data with ease. As the platform supports SQL, Python and R programming languages, the sky's the limit when it comes to extensibility, development and coding support. The platform allows for strong collaboration within an organization, designed to alleviate the time-consuming burden of reporting and data visualization on IT teams while allowing business users to access insights on their own time. Most of the features are built around making the analytics team’s job easier, with reusable code, built-in collaboration and more. The support team earned universal praise from users who contacted them, citing their swift, in-depth and informative answers as immensely helpful in resolving any issues they had with the solution. In addition to hands-on support, a speedy implementation process ensures that customers can get the platform up and running in no time. We found that users’ opinions of the platform’s functionality and ease of use differed significantly based on their own roles; analysts generally praised its robust data visualization and data querying features, while decision-makers often found it hard to use, due to the SQL language barrier. SQL is necessary for most functions, and even though there is a visual query editor that attempts to make SQL more accessible, some users said that the platform doesn’t do enough in this regard. Overall, users did agree that the tool makes it easy to collaborate with each other to bridge that gap, with most of the analytics being done on the technical end, letting business users simply access those results. Still, it’s difficult to accurately call Sisense for Cloud Data Teams a self-service analytics tool, as it requires an IT or analyst team’s involvement to truly shine. Additionally, the cost can be prohibitive to smaller businesses. Overall, Sisense for Cloud Data Teams can be extremely powerful in the right hands - for those who know SQL and how to use it, it’s a dream for querying data and delivering analytics, but for those who don’t have the necessary IT resources, it could prove difficult to fully maximize the value of this data solution.

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User reviews of Oracle Business Intelligence Cloud Services (BICS) paint a picture of a powerful and easy-to-use BI platform with some limitations. Users praise its scalability, self-service analytics, and data integration capabilities, which empower them to make data-driven decisions without relying heavily on IT. As one user stated, "BICS has transformed how we analyze data. Now everyone from sales to finance can access insights and make informed decisions, which has significantly improved our efficiency and performance." However, some users find the platform to be less customizable than competitors like Tableau and Power BI, with limited options for building custom dashboards and reports. Additionally, the learning curve for advanced features can be steep, and some users report limited support for specific data sources. One user commented, "While BICS is great for basic reporting, it lacks the flexibility and advanced features I need for complex analysis. I find myself often switching to other tools for more in-depth work." Despite these limitations, users generally agree that BICS offers a compelling value proposition for businesses seeking a comprehensive and cost-effective BI solution. Its strengths in scalability, ease of use, and data integration set it apart from competitors, making it a good choice for organizations of all sizes. As one user summarized, "BICS may not be the most customizable BI platform out there, but its ease of use, data integration capabilities, and competitive pricing make it a great choice for our company. It helps us get the insights we need to make informed decisions and stay ahead of the competition." Ultimately, whether BICS is the right BI platform for your organization depends on your specific needs and priorities. If you are looking for a user-friendly and scalable solution with strong data integration capabilities, BICS is definitely worth considering. However, if you require a highly customizable platform for advanced analysis or have specific data source requirements, other options might be better suited for your needs.

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