Best AI Data Analytics Tools for Google Cloud Platform

Find and compare the best AI Data Analytics tools for Google Cloud Platform in 2025

Use the comparison tool below to compare the top AI Data Analytics tools for Google Cloud Platform on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    DataBuck Reviews
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    Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
  • 2
    Looker Reviews
    Top Pick
    Looker reinvents the way business intelligence (BI) works by delivering an entirely new kind of data discovery solution that modernizes BI in three important ways. A simplified web-based stack leverages our 100% in-database architecture, so customers can operate on big data and find the last mile of value in the new era of fast analytic databases. An agile development environment enables today’s data rockstars to model the data and create end-user experiences that make sense for each specific business, transforming data on the way out, rather than on the way in. At the same time, a self-service data-discovery experience works the way the web works, empowering business users to drill into and explore very large datasets without ever leaving the browser. As a result, Looker customers enjoy the power of traditional BI at the speed of the web.
  • 3
    Deepnote Reviews

    Deepnote

    Deepnote

    Free
    Deepnote is building the best data science notebook for teams. Connect your data, explore and analyze it within the notebook with real-time collaboration and versioning. Share links to your projects with other analysts and data scientists on your team, or present your polished, published notebooks to end users and stakeholders. All of this is done through a powerful, browser-based UI that runs in the cloud.
  • 4
    Prophecy Reviews

    Prophecy

    Prophecy

    $299 per month
    Prophecy allows you to connect with many more people, including data analysts and visual ETL developers. To create your pipelines, all you have to do is click and type a few SQL expressions. You will be creating high-quality, readable code for Spark or Airflow by using the Low-Code Designer. This code is then committed to your Git. Prophecy provides a gem builder that allows you to quickly create and roll out your own Frameworks. Data Quality, Encryption and new Sources are just a few examples. Prophecy offers best practices and infrastructure as managed service - making your life and operations easier! Prophecy makes it easy to create workflows that are high-performance and scale out using the cloud.
  • 5
    DataChain Reviews

    DataChain

    iterative.ai

    Free
    DataChain connects your unstructured cloud files with AI models, APIs and foundational models to enable instant data insights. Its Pythonic stack accelerates the development by tenfold when switching to Python-based data wrangling, without SQL data islands. DataChain provides dataset versioning to ensure full reproducibility and traceability for each dataset. This helps streamline team collaboration while ensuring data integrity. It allows you analyze your data wherever it is stored, storing raw data (S3, GCP or Azure) and metadata in inefficient datawarehouses. DataChain provides tools and integrations which are cloud-agnostic in terms of both storage and computing. DataChain allows you to query your multi-modal unstructured data. You can also apply intelligent AI filters for training data and snapshot your unstructured dataset, the code used for data selection and any stored or computed meta data.
  • 6
    Databricks Data Intelligence Platform Reviews
    The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.
  • 7
    Aretec Reviews
    Our data science and AI expertise will unlock business growth by empowering informed choices, uncovering new opportunities, and gaining an edge in a data driven landscape. We use machine learning, algorithms and statistics to make informed, data-driven decisions. Our customized web and app development will turn your ideas into real solutions. We bring your vision to life. We are leaders in cybersecurity and embed analytics at the core of defense. Our expertise is in automated monitoring, detection and responsive security solutions. We safeguard your digital assets completely. Our custom solutions offer seamless integration, scalability and security, helping you to accelerate your digital transformation. We are pioneers in the advancement of digital assets and Blockchain, empowering businesses with confidence to adopt the future capital markets.
  • 8
    Definitive Reviews
    A one-shot prompt-to-visualization API that seamlessly integrates with enterprise & public data, enabling users to instantly & accurately retrieve visually rich answers to their questions. Enterprises can engage in dynamic conversations about their own data to foster efficient collaboration and informed decisions. Supports Python code creation and joining disparate data sets. Data science agent that provides comprehensive support for data analysis, predictive modelling, and advanced analytics. Create the AI sidekick that best suits your organization. Public LLMs do not currently train on proprietary data sets. Your sidekick unlocks productivity at the workplace. All members of the organization can now access a more engaging interface to perform complex analyses, regardless of their technical ability. Your sidekick integrates seamlessly with your existing products and systems through API-level access.
  • 9
    Fluent Reviews
    AI allows you to self-serve the data insights of your company. Fluent is an AI data analyst that helps you explore data and discover the questions you should ask. Fluent does the rest. No learning curve or complicated interface. Just type in your question, and Fluent will take care of the rest. Fluent helps you clarify your question so that you can get the insights you need. Fluent helps you uncover the questions that you should be asking in order to get the most out of your data. Fluent allows you to build a shared understanding about your data with real-time collaborative tools and a data dictionary. No more silos or confusion. No more disagreements about how to define revenue. Fluent integrates seamlessly with Slack and Teams so you can access data insights without having to leave your chat. Fluent provides a verifiable result with a visual representation of the exact SQL path and AI logic behind each query. Curate tailored datasets, with clear usage guidelines and a quality control system to enhance data integrity and access.
  • 10
    Algoreus Reviews
    All your data needs can be met by a powerful platform. From data ingestion/integration, transformation, and storage to knowledge catalog, graph networks, data analytics, governance, monitoring, and, sharing. An AI/ML Platform that allows enterprises to train, test and troubleshoot models, deploy them, and govern them at scale. This will boost productivity, while maintaining model performance with confidence in production. AutoML is a dedicated solution that allows you to train models with minimum effort or CustomML allows you to train your own case-specific models. You can now connect ML logic with data. Integrating your protocols and authorization models with an integrated exploration of possible action. Extreme configurability is at your disposal. Use internal lineage system for alerting and impact analyses. Interwoven with security paradigm; provides unalterable tracking
  • 11
    impaction.ai Reviews
    Discover. Analyze. Optimize. Use [impaction.ai]’s intuitive semantic search to easily sift conversational data. Type 'find me conversation where ...', and let our engine handle the rest. Meet Columbus, your intelligent data co-pilot. Columbus analyzes conversations and highlights key trends. It can even recommend which dialogues you should pay attention to. Take data-driven action to improve user engagement and create a smarter and more responsive AI product. Columbus is not only a great source of information, but also offers suggestions on how to improve the situation.
  • 12
    Align AI Reviews
    Discover. Analyze. Optimize. Align AI's intuitive search allows you to quickly and easily sort through conversational data. Type 'find me conversation where ...', and let our engine handle the rest. Meet Columbus, your intelligent data co-pilot. Columbus analyzes conversations and highlights key trends. It can even recommend which dialogues you should pay attention to. Take data-driven action to improve user engagement and create a smarter and more responsive AI product. Columbus is not only a great source of information, but also offers suggestions on how to improve the situation.
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