Best Big Data Analytics Software - Page 7

How Many Big Data Analytics Software Products Does G2 Track?

Total Products under this Category: 114

Category Stats (Oct 2026)

  • Average Rating: 4.49/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cloudera (+0.31%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

Last updated: October 16, 2026

How Does G2 Rank Big Data Analytics Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 8,600+ Authentic Reviews
  • 114+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Big Data Analytics Software

G2 Grid® for Big Data Analytics Software plotting products by satisfaction and market presence

Highlighted products: Databricks, Google Cloud BigQuery, Snowflake, IBM watsonx.data, Alteryx, Azure Databricks, Kyvos Semantic Layer, and Azure Synapse Analytics.

Underlying data: [Grid® JSON](https://www.g2.com/categories/big-data-analytics/grids.json?focus%5B%5D=databricks&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=snowflake&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=alteryx&focus%5B%5D=azure-databricks&focus%5B%5D=kyvos-semantic-layer&focus%5B%5D=azure-synapse-analytics)

Masthead

Masthead Data is data observability platform for data teams on Google Cloud. Detect anomalies, observe pipelines, optimize compute costs. Our automated, ML-driven approach to data observability allows teams to catch and resolve data incidents in real time, while simultaneously optimizing Google BigQuery compute costs and maximizing ROI from their data platforms. The no-code implementation starts delivering results within minutes, and Masthead never needs read access to your data, meaning it is instantly compliant with privacy and security requirements.

Who Is the Company Behind Masthead?

Mather Listener

Listener™ is Mather Economics' intelligent data platform designed to bridge the critical gaps in digital transformation by facilitating the collection of high-quality data and enabling actionable insights. Many organizations struggle with operationalizing analytics, often failing to translate vast data into meaningful business outcomes. Listener addresses these challenges by integrating advanced analytics into a company's core operations, transforming static paywalls into Intelligent Paywalls, creating data-driven email triggers, and leveraging first-party data for targeted advertising. This comprehensive approach empowers businesses to enhance customer acquisition, improve subscriber retention, and drive revenue growth. Key Features and Functionality: - Intelligent Paywall™: Personalizes user experiences by delivering tailored offers and messaging at optimal times, balancing advertising and subscription revenues through real-time integration with existing paywall systems. - Content Analytics: Analyzes content performance to optimize revenue streams and refine content strategies, ensuring a balanced and profitable content mix. - Audience Analytics: Enhances audience engagement by providing insights into user behavior, enabling targeted strategies that positively impact the bottom line. - Data Integration: Seamlessly integrates with popular fulfillment systems like Piano, Naviga, BlueConic, and various email service providers, facilitating coordinated tactics across customer touchpoints. Primary Value and Solutions Provided: Listener™ empowers companies to operationalize advanced analytics, transforming data into actionable strategies that drive business growth. By addressing the common challenges of data collection and insight implementation, Listener enables organizations to: - Enhance Customer Acquisition: Utilize predictive analytics to attract new customers through personalized marketing efforts. - Improve Subscriber Retention: Implement data-driven strategies to reduce churn and increase subscriber loyalty. - Optimize Revenue Streams: Balance advertising and subscription revenues by delivering the right offers to the right users at the right time. By integrating Listener™ into their operations, businesses can make informed decisions that lead to measurable improvements in customer engagement and financial performance.

Who Is the Company Behind Mather Listener?

Movex Analytics

With MOVEX Analytics, provides a flexible tool that brings structure and meaningfulness to large data quantities behind the omnichannel processes.

Who Is the Company Behind Movex Analytics?

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MPP BI

A robust Business Intelligence platform that empowers decision-makers through analytics, visualization, and monitoring of big data. By leveraging massively parallel databases, it enables effective tracking of business processes and key performance indicators (KPIs) for informed decision-making.

Who Is the Company Behind MPP BI?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of MPP BI?

What Are G2 Users Discussing About MPP BI?

Nucla

Dynamically aggregate and share your company data. Breakdown silos across your enterprise, enhance the visibility of your engagement with the ecosystem and engage your stakeholders with interactive reports.

Who Is the Company Behind Nucla?

  • Seller: KITEsrm
  • Year Founded: 2024
  • HQ Location: Denver, US
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

ObserviX AI

ObserviX is the AI-powered marketing attribution platform that shows you exactly which channels drive revenue, not just clicks. We solve the biggest problem in marketing: knowing which marketing dollars actually generate profit. The Problem We Solve: Most businesses spend thousands on Google Ads, Facebook, LinkedIn, and email marketing without knowing which efforts truly drive sales. Traditional analytics only show the last click, missing 80% of the customer journey. Teams waste 30% of their marketing budget on channels that look good in reports but don't drive revenue. Our Solution: 5-Minute Setup - Install our lightweight pixel and start seeing complete attribution in minutes, not months Multi-Touch Attribution - See all touchpoints that influence each sale across every marketing channel Visual Customer Journey Mapping - Watch how prospects discover, engage, and convert across your entire marketing ecosystem AI-Powered Optimization - Get weekly recommendations on where to invest more and where to cut spending based on actual revenue impact Who We Serve: - Marketing teams at growing businesses, - Marketing agencies managing multiple clients, - E-commerce companies tired of attribution confusion. Ready to stop guessing which marketing channels work? Connect marketing spend to actual profit with ObserviX.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind ObserviX AI?

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About ObserviX AI?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the multi-tenant setup of ObserviX AI, allowing seamless management of multiple clients with clear data insights.
  • Users value the effective attribution tracking of ObserviX AI, making client reporting and data interpretation seamless and clear.
  • Users value the effective customer engagement through ObserviX AI's clear reporting and tailored workspaces for clients.
  • Users appreciate the ease of use of ObserviX AI, with clear data presentation and quick client management.
  • Users praise the easy learning curve of ObserviX AI, making data interpretation simple for all team members.
Cons
  • Users are eager for more pre-built dashboard templates in ObserviX AI, as current options are limited.
  • Users find a lack of pre-built dashboard templates for e-commerce in ObserviX AI, limiting initial usability.
  • Users note a lack of pre-built templates and currently missing mobile app tracking in ObserviX AI.
  • Users express concerns about subscription issues, with a desire for more features and templates for better experience.
  • Users feel the lack of pre-built templates and mobile app tracking limits ObserviX AI's initial functionality.

What Are Recent G2 Reviews of ObserviX AI?

Observo Query

Observo.ai is an AI-powered observability platform designed to help organizations optimize their observability data, significantly reducing costs and improving incident response times. By leveraging advanced AI capabilities, Observo.ai enables businesses to manage and analyze their telemetry data more efficiently, leading to faster issue resolution and enhanced operational performance.

Who Is the Company Behind Observo Query?

  • Seller: observo.ai
  • Year Founded: 2022
  • HQ Location: Silicon Valley, US
  • LinkedIn® Page: www.linkedin.com
    24 employees on LinkedIn®

OmniSci

OmniSci is a breakthrough analytics platform originating from research at MIT. Harnessing the dramatic acceleration of modern GPUs, OmniSci achieves orders of magnitude speedups and price-performance gains over CPU-based analytic technologies.

Who Is the Company Behind OmniSci?

  • Seller: OmniSci
  • Year Founded: 2013
  • HQ Location: San Francisco, US
  • Twitter: @OmniSci
    1 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    30 employees on LinkedIn®

OpenText Aviator Platform

OpenText Aviator Platform is a comprehensive, end-to-end analytics solution designed to help organizations manage and analyze vast amounts of data efficiently. It enables businesses to perform analytics on data volumes approaching petabytes, accommodating thousands of users simultaneously. The platform supports all data types—structured, unstructured, and semi-structured—ensuring versatility across various data sources. Key Features and Functionality: - Scalability: Handles large-scale data analytics, making sense of big data even at the petabyte level. - Extensive Connectivity: Offers over 150 connectors, reducing costs associated with data storage, transfer, and management by eliminating unnecessary cloud expenses and data duplication. - Comprehensive Analytics: Provides tools for business intelligence (BI) to artificial intelligence (AI), including voice, video, audio, and analysis of unstructured data, catering to the diverse needs of data scientists and business analysts. Primary Value and Solutions Provided: The OpenText Aviator Platform empowers organizations to harness their data's full potential without the need to relocate it. By connecting to existing data sources, it facilitates efficient data analysis and visualization, leading to informed decision-making. This approach not only enhances operational efficiency but also reduces costs associated with data management and storage. By integrating advanced analytics capabilities, the platform addresses the challenges of managing and interpreting large datasets, enabling businesses to derive actionable insights and maintain a competitive edge.

Who Is the Company Behind OpenText Aviator Platform?

  • Seller: OpenText
  • Year Founded: 1991
  • HQ Location: Waterloo, ON
  • Twitter: @OpenText
    21,565 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    22,835 employees on LinkedIn®
  • Ownership: NASDAQ:OTEX

OptimalPlus Open Platform

The OptimalPlus open platform pairs unprecedented visibility into the electronics lifecycle with advanced data science and domain expertise to enhance production metrics and ensure overall product reliability.

Who Is the Company Behind OptimalPlus Open Platform?

  • Seller: NI
  • Year Founded: 1976
  • HQ Location: Austin, TX
  • Twitter: @NIglobal
    26,204 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    8,041 employees on LinkedIn®
  • Ownership: NASDAQ: NATI

OrcaSheets

What is OrcaSheets? OrcaSheets is a local-first data analytics platform that helps business users analyze massive datasets containing billions of rows directly on their desktop computers using natural language queries, without requiring cloud infrastructure, technical expertise, or compromising data privacy. OrcaSheets addresses a critical gap in the analytics market by combining enterprise-grade processing capabilities with spreadsheet familiarity. The software runs entirely on local machines, processing data locally through an AI-powered interface that accepts plain English questions instead of SQL queries or complex formulas. This architecture ensures sensitive data never leaves the user's device while delivering analytical performance previously available only through expensive cloud-based business intelligence platforms. Core Capabilities: • Billion-row local processing - Handles datasets up to one billion rows or more in seconds on standard laptops without cloud uploads or performance degradation • AI-powered natural language interface using OrcAI technology - Users query data conversationally without learning SQL, Python programming, or spreadsheet macros • Pre-built analytical recipes and templates - Includes workflows for RFM analysis, logistic regression models, customer segmentation, and custom workflow automation • Complete offline functionality - All data processing occurs locally on your computer with no internet connection required for analysis • Lightweight 70MB installation footprint - Minimal system requirements with enterprise-level analytical power for desktop data analysis Primary Use Cases: The platform serves professionals across financial services for fraud detection and audit reconciliation, healthcare organizations for HIPAA-compliant patient analytics and clinical trial data processing, government agencies for classified data analysis and census data processing, manufacturing companies for IoT sensor data processing and quality control, and retail businesses for customer segmentation and e-commerce transaction analysis. Organizations choose OrcaSheets when they need to analyze sensitive information subject to regulatory compliance requirements like GDPR data protection, HIPAA healthcare privacy, SOC 2 security standards, or government security clearances. Target Audience: OrcaSheets targets non-technical business analysts, data privacy officers, compliance teams, financial auditors, healthcare data analysts, and organizations handling confidential information at scale. The software spans business intelligence tools, data analytics software, spreadsheet alternatives, and desktop analytics solutions, positioned specifically for users who require advanced analytical capabilities without cloud dependency, subscription costs, or technical complexity barriers.

Who Is the Company Behind OrcaSheets?

Paradime

Paradime is a platform that offers a range of services, including seamless integration with various tools, in-app chat and email support

Who Is the Company Behind Paradime?

  • Seller: Paradime
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • Twitter: @paradimelabs
    131 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    13 employees on LinkedIn®

Pipeshift

Pipeshift is a modular orchestration platform designed to streamline the development, deployment, and scaling of open-source AI components—including embeddings, vector databases, large language models (LLMs), vision models, and audio models—across any cloud or on-premises environment. By providing out-of-the-box infrastructure tailored for DevOps and MLOps teams, Pipeshift enables organizations to efficiently manage AI workloads from inception to production, ensuring scalability and enterprise-grade security.

Who Is the Company Behind Pipeshift?

  • Seller: Pipeshift
  • Year Founded: 2024
  • HQ Location: San Fransico, US
  • LinkedIn® Page: www.linkedin.com
    17 employees on LinkedIn®

Pivot

Pivot is a desktop application designed to streamline the processes of data cleaning, analysis, visualization, and modeling within a unified workspace. It enables users to transform raw datasets into actionable insights without the need for coding, making it accessible to data professionals across various industries. One of Pivot's core features is its visual drag-and-drop pipeline builder. Users can construct data workflows by adding tools into a work stack, allowing for the reordering and editing of steps with immediate updates to results. This approach facilitates the creation of repeatable data processing pipelines that can be applied to new datasets with minimal effort. The application supports a comprehensive suite of data manipulation tools, including filtering rows, removing duplicates, imputing missing values, aggregating data, and joining tables. These tools are designed to handle large datasets efficiently, leveraging a disk-backed engine to ensure performance remains robust even with substantial data volumes. For statistical analysis and machine learning, Pivot offers built-in capabilities such as linear and logistic regression, random forest, XGBoost, time series forecasting, and survival analysis. Users can fit models by selecting the appropriate tool, choosing predictor variables, and reviewing diagnostics like coefficient significance and residuals, all within the same environment. Data visualization is seamlessly integrated into Pivot's workflow. Users can create histograms, scatter plots, bar charts, and line plots that update dynamically as the underlying data changes. This integration ensures that visual representations remain consistent with the latest data transformations. An AI assistant is embedded within Pivot to enhance user experience. It allows users to input natural language queries, which the assistant translates into corresponding data processing steps. Importantly, this AI functionality operates locally, ensuring that sensitive data remains on the user's machine without external transmission. Pivot is compatible with both Windows and macOS platforms, catering to a broad user base. It is particularly beneficial for analysts and researchers who require a comprehensive toolset for data preparation and analysis without the complexity of programming. The application offers a 14-day free trial, providing full access to its features without the need for credit card information, allowing users to evaluate its capabilities in their specific workflows.

Who Is the Company Behind Pivot?

  • Seller: Pivot
  • Year Founded: 2026
  • HQ Location: bhopal, IN
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Pivot?

Plurai

Who Is the Company Behind Plurai?

  • Seller: Plurai
  • Year Founded: 2015
  • HQ Location: New York City, US
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®
Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 9, 2026