Yes BIRD has several in built‎ native connectors ‎native connectors that support structured, semi structured and unstructured data sources. The availability of JDBC connector gives us the advantage of reading data from any data base

YesPower BI has good data‎ ources connectivity sources connectivity. It also supports third party integrations. They also have direct queries which lets it to request information from any source without importing the data

YesWhile tableau connects to myriad‎ ‎sources sources, it does not have connectivity to project management, payment processing or ecommerce platforms. It also lacks in third party integrations.

YesPalantir has support to around‎ 200+ Connectors‎ 200+ Connectors. You can varied data such as structured, unstructured, streaming, IOT, transactional, geospatial data It has bidirectional connection where user integartions, transformations and decisions are captured and fedback into the source systems

YesConsolidate and standardize data‎ from heterogeneous formats or structures using BIRD powerful data transformation features that facilitate no-code transformation. Out of box functions available for Numerical, String, Date and Logical functions.

YesPower Query editor in‎ ‎Desktop version enables the user to connect, extract and transform the data. Again this service is availble in Power BI desktop not in Power BI Service. Most of the transformations and formulas are done by using DAX which is not easier lanaguage to work with

NoTableau doesn’t come in with built in ETL functionality. However it has a separate subscription based product called Tableau Prep. While it addrresses basic transformations it does not support implementation of complex logics

YesPalantir provides point and click‎ analysis tool as well as a code based analysis tools for performing transformations on the data. Quiver: It is a point and click analysis tool that has out of box functions used to perform transformations for tabular data and geo spatial data. For complex transformations SPARKSQL expression language is used. Code workbook took to peform transformations using Python, SQL, R languages

YesData modelling - Combing data‎ ‎from multiple data sources (all structured, un structured and semi structured), Multi fact and multi dimension schemas are supported

YesMulti fact tables with multi‎ dimensions is possible. Multi source modelling affects the performance in PowerBI.

YesTableau supports multi source modelling only for databases.‎ ‎Also, multi source modelling in Tableau has performance limitations.

YesUser can perform joins on data from different sources. This models are further borken down to micro models which can be related to objects and Ontology.

Data Visualization

YesBIRD offers a full suite‎ ‎of interactive visualizations that lets user explore data from different angles. The narrative feature lets get a description of the insights being analyzed.

YesPower BI offers out of the box visualization. User can create custom charts using their Animations for visualizations are available Geospatial visualizations such chloropeth maps, spider maps etc.

YesTableau provides myriad number‎ of visualizations including embedding images and icons out of box

YesPalantir Foundry has applications such as Quiver, Notebook, Fusion for data visualizations.‎ ‎Quiver is for time series has drill down capabilities. Notepad is for textual editor where user can add and format content, integrate charts and widgets from other applications. Fusion is a spreadsheet based application for Foundry

YesHas inbuilt Top and Bottom N slicers, ranking and sorting features etc, ‎free-form drill down on the data to get to the nth level of insights.

YesPower BI does not have inbulit feature to support Top and Bottom N slicers.‎ You have to create a custom function for showing these insights. Dynamically change dimensions/measures in a visual.

YesSQL-based approach limits your filtering and exploration to the query paths and data set that the original author selected

YesYou can drill down in Quiver the analytical visualization suite. But other flexible features as sorting, top and bottom N slicers are not present.

YesBIRD Smart search enables users to ask questions in Natural language.‎ It also allows user further slice and dice of insights of the query. Each search can be saved as a report which can further be shared to other users.

YesPower BI has Q&A feature,‎ that lets users ask the questions in Natural Language

YesTableau has Ask data feature‎ where the user can use natural language to ask questions.

NoWhile Palantir foundry has internal search that lets identify the objects etc. It does not have the feature where you can ask questions to get the insights

YesRealtime Analytics is‎ available for all data sources

YesRealtime Analytics for defined/limited data sources‎

NoNot Available

YesReal Time analytics is available Real Time analytics is available.

YesSharing and Collaboration is possible‎ ‎ Sharing and Collaboration is‎ possible.

YesSharing and Collaboration is‎ possible.‎

YesSharing and Collaboration is‎ possible.‎ ‎

YesSharing and Collaboration is‎ possible.

YesUsers can explore predictive‎ ‎insights from BIRD's inbuilt Machine learning models wjicj are part of the platform. There is also flexibility of further customization to suit the customer's business problem.

YesUses Azure Machine learning studio.‎ AML supports various Regression, Clustering and Classification Algorithms and Auto ML.

YesLimited. Supports only Linear Regression Models.‎

YesPalantir uses Amazon sage maker via amazon athena to analyze and develop ML models.‎ Connections also can be made to Azure ML, Datarobot, Databricks or any model can be imported into Palantir Foundry as code, library or trained models. Support for all major open-source frameworks such as PyTorch, TensorFlow, and SKLearn — as well as interoperability standards (ONNX) It also has ongoing evaluation and monitoring of deployed models With its decision orchestration

YesBIRD Auto ML generates best machine learning models‎ using best algorithms based on the target variable user selects

YesAuto ML is available‎

NoAuto ML is not available. They have a third party integration with Dataiku

Yes
Auto ML is present in Amazon‎ ‎SageMaker and Palantir uses Amazon Sage Maker for analyzing and building ML models

YesSupports Windows and Linux ‎

YesOnly Windows‎

YesWindows and Linux‎

YesComplete OS Agnostic

YesBIRD is Cloud agnostic. ‎It supports all major clouds

NoPowerBI service runs only on Azure

Yessupports all major clouds‎ supports all major clouds‎

YesPalantir foundry has two versions.‎ Palantir foundry on cloud which is a SaaS model and Palantir foundry on-premises. It can be deployed on all major clouds ie AWS, Azure and GCP

YesIn built Row level‎ data security is available ‎In built Row level‎ data security is available

YesRow level data security is available

YesRow level security is available

YesRow level security is available

YesIn built column level security is available

YesColumn level data security is available‎

NoInbuilt column level security

YesColumn level security is available

YesWith BIRD you can embed individual dashboards, reports, business models, ML studio etc ‎or embed fully our interactive analytics with your applications. You can embed BIRD on premise as well as on cloud too.

YesEmbedding is available only for‎ cloud application with azure lock in. ‎Embedding is not available for on premise

NoPartially Supported. Tableau lets you embed the entire dashboard. Individual charts and tiles embedding is not supported.

YesYou can embed Palantir dashboards

YesBIRD provides data driven alerts which lets user proactively montior‎ ‎their business and take timely action. Alerts can be set on types of charts such as metrics, bar, time graphs etc.

YesAlerts feature is available‎ but with limitations. Alerts are set only on metric tiles and gauge tiles You cannot set alerts on date/ time measures

YesTableau provides data driven alerts.

YesThe alerts can be generated through a data pipeline,‎ ‎ a machine learning model, the Foundry Rules archetype, or any combination of these.

YesBIRD provides instant calculation performance even with huge volume data sets/real-time data, high number of users BIRD provides instant calculation performance even with huge volume data sets/real-time data, high number of users

YesPower BI doesn’t seem to handle large data sets well.‎ ‎ Users may encounter issues connecting to or importing from larger data sets and may be faced with performance issues throughout the process

YesTableau’s engine slows dramatically‎ when it tries to handle large volumes and disparate data, especially when attempting complex analytics.

YesPalantir can handle large volumes of data sets and provides scalable solution ‎ Palantir can handle large volumes of data sets and provides scalable solution