Best Big Data Analytics Software - Page 3

How Many Big Data Analytics Software Products Does G2 Track?

Total Products under this Category: 206

Category Stats (Nov 2026)

  • Average Rating: 4.48/5 (↓0.01 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cloudera (+0.24%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Big Data Analytics Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 12,300+ Authentic Reviews
  • 206+ 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 Splunk Enterprise.

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=splunk-enterprise)

Keboola

Keboola is a finance data and AI platform for companies that need trusted financial reporting, planning, analysis, and close processes across complex systems. Built for CFOs, FP&A teams, Controllers, finance operations, and data teams, Keboola helps organizations turn fragmented data from ERPs, accounting systems, spreadsheets, CRM, warehouses, and operational tools into one governed foundation for financial intelligence. Many finance teams rely on disconnected systems, inconsistent charts of accounts, manual reconciliations, and spreadsheet-based reporting. This makes it difficult to close quickly, produce reliable forecasts, answer board questions, support acquisitions, or use AI safely with financial data. Keboola solves this upstream data problem by connecting, standardizing, transforming, and governing financial data before it reaches FP&A, CPM, BI, reporting, or AI tools. Keboola is especially valuable for multi-entity companies, private-equity-backed businesses, holding groups, financial services firms, franchises, and organizations growing through M&A. These companies often operate across multiple ERPs, entities, countries, currencies, and reporting definitions. Keboola helps standardize chart-of-accounts logic, automate financial data pipelines, reconcile data across systems, and create trusted business definitions that teams can use consistently. Unlike traditional FP&A, CPM, EPM, budgeting, forecasting, or financial reporting tools that assume clean data already exists, Keboola focuses on the governed data foundation underneath. The platform gives teams transparent, auditable logic for financial transformations, source-to-output lineage, reusable business rules, and a semantic layer that helps ensure reports, dashboards, forecasts, and AI outputs are based on trusted company data. Keboola works alongside existing tools such as Snowflake, BigQuery, Databricks, Microsoft Fabric, Power BI, Tableau, Looker, Anaplan, Pigment, DataRails, Workiva, and other finance and analytics platforms. Rather than forcing a rip-and-replace project, Keboola strengthens the data layer beneath these systems so finance teams can plan, report, reconcile, and analyze with greater confidence. For AI adoption, Keboola provides the governed data environment that makes AI practical for business-critical financial workflows. Teams can connect AI agents and assistants to approved metrics, trusted pipelines, financial definitions, and auditable data products, reducing the risk of confident but untraceable answers. With Keboola, organizations can improve financial analysis, accelerate reporting, support financial close, automate reconciliation workflows, enable more reliable FP&A, and create a trusted foundation for AI-powered finance.

Average Rating: 4.6/5.0

Total Reviews: 138

How Do G2 Users Rate Keboola?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.9/10)
  • Multi-Source Analysis: 8.3/10 (Category avg: 8.6/10)
  • Real-Time Analytics: 5.0/10 (Category avg: 8.6/10)
  • Data Workflow: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Keboola?

  • Seller: Keboola
  • Year Founded: 2008
  • HQ Location: Prague
  • LinkedIn® Page: www.linkedin.com
    92 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Engineer
  • Top Industries: Information Technology and Services, Marketing and Advertising
  • Company Size: 63% Medium, 22% Small

What Do G2 Reviewers Say About Keboola?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Keboola, thanks to its intuitive setup and ready-made data connections.
  • Users highlight Keboola's intuitive interface and wide data connections, making data handling seamless and efficient.
  • Users value the robust data management capabilities of Keboola, streamlining data handling and enhancing productivity.
  • Users value the wide range of data connections in Keboola, enhancing data management with ease and efficiency.
  • Users praise the incredible support from Keboola, consistently providing amazing assistance for any questions or issues.
Cons
  • Users find Keboola's steep learning curve challenging, often requiring assistance from developers for effective use.
  • Users find Keboola's interface complicated and illogical, leading to confusion and difficulties when working with data streams.
  • Users find the steep learning curve of Keboola challenging, requiring assistance for effective navigation and usage.
  • Users find the interface challenging and experience difficulties with data type management and debugging errors.
  • Users find the UX improvement lacking with a confusing interface and minor bugs affecting usability.

What Are Recent G2 Reviews of Keboola?

What Are G2 Users Discussing About Keboola?

Plotly Dash Enterprise

Dash is the trusted solution for operationalizing Python models, allowing data science teams to focus on data and models, while still producing and deploying enterprise-ready apps. What would typically require a team of back-end developers, front-end developers and IT can all be done with Dash. It enables data science teams to build, design, deploy, and securely manage data-driven applications that align with your business goals. Companies can deliver on their data, analytic, and AI initiatives quickly and effectively -- no JavaScript, CSS, CronJobs or DevOps required.

Average Rating: 4.8/5.0

Total Reviews: 36

How Do G2 Users Rate Plotly Dash Enterprise?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)

Who Is the Company Behind Plotly Dash Enterprise?

  • Seller: Plotly
  • Year Founded: 2013
  • HQ Location: Montréal, CA
  • LinkedIn® Page: www.linkedin.com
    103 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 47% Small, 31% Large

What Do G2 Reviewers Say About Plotly Dash Enterprise?

AI-generated summary from verified user reviews

Pros
  • Users love the easy drag-and-drop charting features of Plotly Dash Enterprise for creating beautiful visualizations efficiently.
  • Users love the coding ease of Plotly Dash Enterprise, enabling effortless creation of stunning visualizations with drag and drop.
  • Users appreciate the exceptional customer support of Plotly Dash Enterprise, enhancing their experience with prompt assistance.
  • Users appreciate the intuitive dashboard management of Plotly Dash Enterprise, enabling effortless creation of visually stunning dashboards.
  • Users love the ease of creating stunning data visualizations with Dash's intuitive drag-and-drop interface.

What Are Recent G2 Reviews of Plotly Dash Enterprise?

What Are G2 Users Discussing About Plotly Dash Enterprise?

Strategy Mosaic

Strategy Mosaic, from Strategy (formerly MicroStrategy), is an enterprise-grade universal semantic layer solution designed to enhance the capabilities of AI and Business Intelligence (BI) within organizations. It addresses critical challenges such as data fragmentation and inconsistent metrics, which lead to untrusted AI answers, compliance risks, and runaway cloud costs. The universal semantic layer that Mosaic provides serves as a centralized repository for business definitions, hierarchies, and security rules, ensuring that all users access consistent metrics and KPIs regardless of the tools they employ. This single source of truth is actively monitored by our integrated Sentinel layer, which moves you from reactive audits to proactive, real-time governance. Sentinel provides immediate intelligence on potential data breaches, compliance risks, and cost-saving opportunities, helping you optimize cloud spend and prevent violations before they happen. Additionally, Mosaic empowers organizations to build an auditable foundation for AI. By providing a layer of rich business context and consistent, human-readable definitions, Mosaic gives AI models the deep understanding required to provide more accurate and verifiable answers. This accelerates time to insight, allows you to end vendor lock-in, and dramatically reduces the total cost of ownership (TCO) by eliminating costly data rework and optimizing data management processes. In summary, Strategy Mosaic stands out by addressing the fundamental issues of data fragmentation and governance. Its robust connectivity, centralized semantic layer, and focus on delivering trusted data make it an invaluable tool for organizations aiming to enhance their analytics capabilities and leverage AI effectively.

Average Rating: 4.5/5.0

Total Reviews: 15

How Do G2 Users Rate Strategy Mosaic?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 8.9/10)
  • Multi-Source Analysis: 8.3/10 (Category avg: 8.6/10)
  • Real-Time Analytics: 9.2/10 (Category avg: 8.6/10)
  • Data Workflow: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Strategy Mosaic?

Who Uses This Product?

  • Company Size: 53% Large, 40% Medium

What Do G2 Reviewers Say About Strategy Mosaic?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Strategy Mosaic, facilitating effortless planning and enhanced team collaboration.
  • Users appreciate the effortless structure and collaboration that Strategy Mosaic brings to planning and execution.
  • Users value the robust reporting capabilities of Strategy Mosaic, enjoying its user-friendly and reliable data analytics.
  • Users appreciate the robust data analysis capabilities of Strategy Mosaic, enhancing trust and usability in reporting.
  • Users value the auto-magical experience of Strategy Mosaic in crafting initial data models effortlessly.
Cons
  • Users report encountering minor bugs affecting functionality, particularly with cube publishing from spreadsheets.
  • Users report frequent bug issues with Strategy Mosaic, as corrections don't apply as expected.
  • Users often face debugging issues with Strategy Mosaic, where corrections do not reflect in the code as expected.
  • Users believe the product is expensive and suggest exploring options for better license costs and additional features.
  • Users find the initial learning curve of Strategy Mosaic challenging, though the experience improves once they're familiar.

What Are Recent G2 Reviews of Strategy Mosaic?

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Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

How it works

Megaladata

The low code Megaladata platform empowers business users by making advanced analytics accessible. - Visual design of complex data analysis models with no involvement of the IT department and no need for programming. - Over 60 ready-to-use processing components. - Easy integration with various sources. - Fast processing of large datasets achieved through in-memory computing and parallelism. - Reusable components that facilitate accumulation of business expertise. - Advanced visualization — OLAP cubes, tables, charts, and other specialized tools. Megaladata minimizes the time between hypothesis testing and a fully functional business process.

Average Rating: 4.9/5.0

Total Reviews: 9

How Do G2 Users Rate Megaladata?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Multi-Source Analysis: 10.0/10 (Category avg: 8.6/10)
  • Data Workflow: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Megaladata?

Who Uses This Product?

  • Company Size: 89% Small, 11% Medium

What Are Recent G2 Reviews of Megaladata?

Savant Labs

Savant is an AI workflow automation platform built for enterprise finance, tax, and accounting teams. It turns messy, manual data work like extraction, preparation, reconciliation, and reporting into centrally governed, audit-ready workflows, driving efficiency without sacrificing accuracy, control, or compliance. Savant integrates with your preferred LLM, including Claude, Copilot, ChatGPT, and private LLMs, so you control model choice, data residency, and cost. Ask in plain language for the workflow you want to build, or simply say "run this month's reconciliation," and Savant turns that instruction into a repeatable, governed, auditable workflow. Trusted by Fortune 500 enterprises, Savant catches errors before they're filed, ensures audit readiness without the scramble, and gives finance teams their time back. WHAT SETS SAVANT APART Unlike general-purpose AI tools or legacy analytics platforms, Savant was built specifically for finance workflows where 99% accuracy isn't good enough — because 1% errors at scale become audit findings, restatements, and compliance exposure. Three things make Savant different - Deterministic, not probabilistic: Savant uses rule-based AI agents, not LLM guesses. Consistent inputs produce consistent outputs. - Governance and auditability are built in, not bolted on: Audit trail, data lineage, SOX controls, role-based access, and evidence packs are standard, not add-ons. - Handles the data other tools can't: Native processing for PDFs, scanned documents, and invoices — the unstructured data that breaks legacy workflows. KEY FEATURES - AI-powered workflow automation: Automate any workflow end to end — financial reconciliation, month-end close, tax provisioning, accruals, and more. Works with structured and unstructured data, including PDFs, scanned documents, and ERP extracts. - Reproducible results: AI agents follow step-by-step logic with validation at each stage. Same inputs produce the same outputs, every time — no black boxes, no probabilistic guesses. - Built-in audit trail, data lineage, and evidence packs: Every workflow step is logged automatically. Complete data lineage from source to output. No manual documentation, no reconstructing steps across email chains. - SOX compliance by design: Segregation of duties, version control, approval management, and user activity history are built in from day one. - Human-in-the-loop exception handling: Savant proactively flags exceptions for human review, allowing analysts to catch errors before they reach a filing. The AI learns from human judgments over time. - 500+ enterprise connectors: Connect to your existing ERPs, CRMs, BI platforms, file systems, email, and more out of the box. - Enterprise-grade security: SOC 2 Type II, SOC 1 Type II, ISO 27001. SSO/SAML, role-based access control, private cloud and VPC deployment available. USE CASES - Month-end and year-end close automation - Financial reconciliations and tie-outs - Tax provision preparation - State apportionment calculations - Sales and use tax reconciliation - Data extraction from PDFs, invoices, and scanned documents - ERP data consolidation across multiple systems - Intercompany accounting and multi-entity reporting - Audit evidence package preparation - Recurring reporting and dashboard publishing

Average Rating: 4.7/5.0

Total Reviews: 51

How Do G2 Users Rate Savant Labs?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 8.9/10)
  • Multi-Source Analysis: 9.2/10 (Category avg: 8.6/10)
  • Real-Time Analytics: 9.2/10 (Category avg: 8.6/10)
  • Data Workflow: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Savant Labs?

  • Seller: Savant Labs
  • Company Website:
  • Year Founded: 2021
  • HQ Location: San Francisco, California
  • LinkedIn® Page: www.linkedin.com
    66 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Logistics and Supply Chain
  • Company Size: 42% Large, 40% Medium

What Do G2 Reviewers Say About Savant Labs?

AI-generated summary from verified user reviews

Pros
  • Users find Savant Labs to be incredibly easy to use, simplifying data analysis without the need for coding.
  • Users praise the extremely proactive customer support of Savant Labs, which ensures quick and helpful assistance.
  • Users love the easy-to-navigate interface of Savant Labs, enhancing data management and analytics without needing prior expertise.
  • Users value the easy integration with tools like Google Drive, enhancing their data analysis experience effortlessly.
  • Users enjoy the scalability of Savant Labs, making it easy to grow and adapt their analyses effortlessly.
Cons
  • Users experience a notable learning curve with Savant Labs, making it challenging to utilize all features effectively.
  • Users face a significant learning difficulty with Savant Labs due to its complex features and lack of guidance.
  • Users often face integration issues with Savant Labs, making data updates and tool linkages cumbersome and unclear.
  • Users report access issues, particularly with login problems and difficulties navigating features and workflow updates.
  • Users experience challenges with data source management, often requiring extra steps to ensure updates and functionality.

What Are Recent G2 Reviews of Savant Labs?

Datacoves

Datacoves is an enterprise DataOps platform with managed dbt Core and Airflow for data transformation and orchestration. We offer VS Code in the browser for dbt development with the ability to include preferred VS Code extensions and Python libraries such as the official Snowflake Extension and Snowpark. You may also optionally use our managed Airbyte and Superset for a full end-to-end solution.

Average Rating: 4.8/5.0

Total Reviews: 19

How Do G2 Users Rate Datacoves?

  • Has the product been a good partner in doing business?: 9.6/10 (Category avg: 8.9/10)
  • Multi-Source Analysis: 9.3/10 (Category avg: 8.6/10)
  • Real-Time Analytics: 8.3/10 (Category avg: 8.6/10)
  • Data Workflow: 8.9/10 (Category avg: 8.6/10)

Who Is the Company Behind Datacoves?

Who Uses This Product?

  • Company Size: 47% Large, 26% Medium

What Do G2 Reviewers Say About Datacoves?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Datacoves, appreciating its streamlined setup and responsive support throughout implementation.
  • Users appreciate the unified application of Datacoves, which streamlines ELT processes and enhances teamwork in data engineering.
  • Users value the seamless integrations of Datacoves, enhancing their ELT processes with a unified and flexible architecture.
  • Users value the top-notch data engineering tools in Datacoves, enhancing collaboration and productivity within their teams.
  • Users appreciate the easy integrations of Datacoves, enabling seamless collaboration and enhancing data pipeline efficiency.
Cons
  • Users experience alert overload due to insufficient dashboards, complicating monitoring and support during service failures.
  • Users find the lack of dashboard integrations limiting, hindering their ability to monitor service performance effectively.
  • Users feel frustrated with data limitations due to being locked into specific ELT tools, impacting overall flexibility.
  • Some users may find dependency issues concerning, feeling locked into specific tools for ELT compatibility.
  • Users find the difficult learning curve of Datacoves challenging due to extensive customization and implementation requirements.

What Are Recent G2 Reviews of Datacoves?

Deep.BI

Deep.BI measures content consumption metrics and provides user engagement scoring to power publisher's content delivery, marketing tools and paywalls to grow, engage and retain audiences. Deep.BI collects all kinds of raw event data related to publishing, like reader’s behavior and content performance, and analyzes this data in real-time (sub-second latency between ingestion and data visualization). By collecting first-party raw data (no sampling & no aggregation), publishers get unprecedented flexibility in building their own metrics, reports, and different strategies for different kinds of content. This also allows publishers to quickly test hypotheses on both live and historical data. These dashboards and reports are shareable and customizable across teams making the workload on the analysts much lighter and gives them the ability to deliver what they want to deliver in the way they want and in lightning speeds!

Average Rating: 4.4/5.0

Total Reviews: 10

How Do G2 Users Rate Deep.BI?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Multi-Source Analysis: 8.3/10 (Category avg: 8.6/10)
  • Real-Time Analytics: 7.5/10 (Category avg: 8.6/10)
  • Data Workflow: 7.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Deep.BI?

  • Seller: Deep.BI
  • Year Founded: 2016
  • HQ Location: San Francisco, California
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 40% Medium

What Do G2 Reviewers Say About Deep.BI?

AI-generated summary from verified user reviews

Pros
  • Users value the real-time actionable insights from Deep.BI, enhancing their ability to make informed business decisions.
  • Users value the real-time actionable insights from Deep.BI, enhancing their understanding of customer interactions and preferences.
  • Users value the real-time actionable insights from Deep.BI, enabling quick and informed decision-making for their businesses.
  • Users value the real-time actionable insights from Deep.BI, enhancing understanding of customer interactions and choices.
  • Users find Deep.BI's automation capabilities incredibly useful for efficiently processing large datasets and creating insightful dashboards.
Cons
  • Users find the coding difficulty in Deep.BI challenging, which can hinder their overall experience.
  • Users find the interface confusing, making it challenging for non-technical users to navigate effectively.
  • Users find the UI/UX not intuitive for layman users, causing difficulties in navigating the platform.
  • Users find the UI/UX design lacking, making it challenging for non-expert users to navigate effectively.
  • Users feel the UI design is poor, making it difficult for non-tech savvy individuals to navigate Deep.BI.

What Are Recent G2 Reviews of Deep.BI?

What Are G2 Users Discussing About Deep.BI?

HyperAspect Cognitive Cloud

HyperAspect Cognitive Cloud is an enterprise AI analytics and automation platform that empowers users to leverage big data to drive strategic, efficient decision-making across departments. We bring responsible AI and natural language processing into an organization's core processes with the required security compliance frameworks within data-intensive industries like healthcare, finance, insurance, legal, marketing, retail, professional digital services.

Average Rating: 5.0/5.0

Total Reviews: 6

How Do G2 Users Rate HyperAspect Cognitive Cloud?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Multi-Source Analysis: 10.0/10 (Category avg: 8.6/10)
  • Real-Time Analytics: 9.6/10 (Category avg: 8.6/10)
  • Data Workflow: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind HyperAspect Cognitive Cloud?

Who Uses This Product?

  • Company Size: 67% Medium, 33% Small

What Do G2 Reviewers Say About HyperAspect Cognitive Cloud?

AI-generated summary from verified user reviews

Pros
  • Users value the AI-driven insights of HyperAspect Cognitive Cloud, enhancing usability and performance in data analysis.
  • Users appreciate the effortless AI integration of HyperAspect Cognitive Cloud, enhancing their experience in data analysis.
  • Users love the user-friendly design of HyperAspect Cognitive Cloud, making AI and big data accessible to everyone.
  • Users commend the helpful customer support of HyperAspect Cognitive Cloud, facilitating easy implementation for improved productivity.
  • Users value the easy integrations with existing systems, enhancing productivity and simplifying their workflow.
Cons
  • Users find the pricing expensive, making it challenging for smaller businesses to afford the HyperAspect Cognitive Cloud.
  • Users find the pricing issues significant, as costs may be prohibitive for smaller businesses.

What Are Recent G2 Reviews of HyperAspect Cognitive Cloud?

BellaDati

Agile analytics and reporting tool, which enables business users to make informed decisions from real-time business data

Average Rating: 3.5/5.0

Total Reviews: 4

How Do G2 Users Rate BellaDati?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • Multi-Source Analysis: 6.7/10 (Category avg: 8.6/10)
  • Real-Time Analytics: 10.0/10 (Category avg: 8.6/10)
  • Data Workflow: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind BellaDati?

  • Seller: BellaDati
  • Year Founded: 2013
  • HQ Location: Singapore, SG
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®
  • Phone: 866-668-0180

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of BellaDati?

What Are G2 Users Discussing About BellaDati?

BIRD Analytics

Lightning fast insights at business scale! BIRD Analytics platform provides real time insights on any data, be it batch data or data-in-motion. With its cloud native full-stack capabilities, in-built scalable enterprise data warehouse, 100+ out-of-box connectors with readymade KPI driven dashboards, ERP accelerators and streaming/event driven capabilities, be rest assured that your investments are secured on the right technology platform for the near future.

Average Rating: 4.9/5.0

Total Reviews: 6

How Do G2 Users Rate BIRD Analytics?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Multi-Source Analysis: 10.0/10 (Category avg: 8.6/10)
  • Real-Time Analytics: 9.4/10 (Category avg: 8.6/10)
  • Data Workflow: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind BIRD Analytics?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of BIRD Analytics?

CUBO iQ® Enterprise

Globalization and the emergence of new applications demand accurate correlations between entity records, which have been expressed with different schemas, formats, fields, and attributes. In a private entity, a single view of their customers is essential for Business Intelligence (BI) and more. Identity resolution is also used in applications related to data quality, such as Customer Data Management (CDM) and Master Data Management (MDM). In contexts like national security, it is possible to identify dangerous profiles through screening for patterns, providing real-time visible matches. In the case of financial services, it can identify customers associated with illicit activities such as terrorism, money laundering, and fraud (by conducting background checks). Most developed countries require compliance with Know Your Customer (KYC), Politically Exposed Person (PEP), and Office of Foreign Assets Control (OFAC) regulations. For the healthcare sector, it enables the construction of a comprehensive picture of patient-related information. The capabilities of automated identity resolution are accurate, fast, and scalable, specifically addressing these and other entity matching requirements. Vision.

Average Rating: 4.5/5.0

Total Reviews: 5

How Do G2 Users Rate CUBO iQ® Enterprise?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • Multi-Source Analysis: 6.7/10 (Category avg: 8.6/10)
  • Real-Time Analytics: 8.3/10 (Category avg: 8.6/10)
  • Data Workflow: 6.1/10 (Category avg: 8.6/10)

Who Is the Company Behind CUBO iQ® Enterprise?

Who Uses This Product?

  • Company Size: 80% Small, 20% Medium

What Are Recent G2 Reviews of CUBO iQ® Enterprise?

Jethro

Jethro makes interactive Business Intelligence work on Big Data. (Hadoop). Jethro enables Business Intelligence users to analyze and visualize Big Data in real-time and its SQL Acceleration Engine seamlessly integrates with BI tools like Tableau or Qlik.

Average Rating: 4.5/5.0

Total Reviews: 3

How Do G2 Users Rate Jethro?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • Multi-Source Analysis: 8.9/10 (Category avg: 8.6/10)
  • Real-Time Analytics: 7.8/10 (Category avg: 8.6/10)
  • Data Workflow: 7.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Jethro?

  • Seller: Jethro
  • Year Founded: 2012
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    52 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Large, 33% Small

What Do G2 Reviewers Say About Jethro?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Jethro, highlighting its intuitive interface and seamless functionality.
  • Users love Jethro's fast querying, which significantly speeds up data retrieval and saves valuable time.
  • Users value the fast performance of Jethro, which significantly reduces query time for large data sets.
  • Users value the powerful dynamic indexing in Jethro, enhancing performance and usability for their needs.
  • Users value the horizontal scaling capability of Jethro, enhancing performance and accommodating growth effectively.
Cons
  • Users find Jethro expensive for small organizations, citing costly licenses and high maintenance costs.
  • Users find the setup complexity challenging, along with costly maintenance and hardware requirements impacting performance.
  • Users find the difficult setup process to be challenging, adding frustration to the initial experience with Jethro.
  • Users face maintenance issues due to costly licenses and complex setups, affecting overall satisfaction with Jethro.

What Are Recent G2 Reviews of Jethro?

What Are G2 Users Discussing About Jethro?

Polyture

Polyture combines all the major elements of the modern data stack into one application that is intuitive and free to use. The platform consists of four modules; Warehousing, Dataflows, Automated Machine Learning, and Dashboards.

Average Rating: 5.0/5.0

Total Reviews: 4

Who Is the Company Behind Polyture?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Polyture?

What Are G2 Users Discussing About Polyture?

Website Development, Web Development, Product Development

About Incentius: A new age technology company that creates innovative could-enabled business intelligent solutions & out-of-the-box platforms for startups using secure & scalable technologies. We are a product engineering & data analytics services provider for next-generation enterprise growth management, enabling innovation using secure technologies and standard enterprise products.

Average Rating: 4.7/5.0

Total Reviews: 3

How Do G2 Users Rate Website Development, Web Development, Product Development?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Multi-Source Analysis: 8.3/10 (Category avg: 8.6/10)
  • Real-Time Analytics: 9.2/10 (Category avg: 8.6/10)
  • Data Workflow: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Website Development, Web Development, Product Development?

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Do G2 Reviewers Say About Website Development, Web Development, Product Development?

AI-generated summary from verified user reviews

Pros
  • Users find easy learning invaluable, as it saves time and simplifies explanation processes significantly.
  • Users appreciate the time-saving efficiency of the product, making explanations quick and easy.

What Are Recent G2 Reviews of Website Development, Web Development, Product Development?

CelerData Cloud

CelerData Cloud is the fastest, secure analytical engine that powers customer-facing and AI-driven analytics at scale, delivering consistently reliable and unbeatable performance with a future-proof architecture—ensuring real-time access to open data without ingestion delays or costly data pipelines. Powered by StarRocks, CelerData delivers 3X the performance/cost of any other solution on the market and is the only platform uniquely designed to enable users to simplify their lakehouse architecture and ditch the need for a data warehouse. CelerData is used worldwide by market-leading brands including Coinbase, Pinterest, Demandbase, and Expedia to generate critical new insights for these data-driven companies.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate CelerData Cloud?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Real-Time Analytics: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind CelerData Cloud?

  • Seller: CelerData
  • Year Founded: 2022
  • HQ Location: Menlo Park, US
  • LinkedIn® Page: www.linkedin.com
    78 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Large

What Do G2 Reviewers Say About CelerData Cloud?

AI-generated summary from verified user reviews

Pros
  • Users value the excellent customer support from CelerData Cloud, enhancing their overall experience and confidence in the product.
  • Users value the incredibly fast query performance of CelerData Cloud, enhancing their data strategy transformation confidence.
  • Users value the incredibly fast query performance of CelerData Cloud, supported by a reliable and helpful support team.
  • Users appreciate the fast communication with CelerData Cloud, enabling effective data transformation and support at scale.
  • Users value the incredibly fast query performance of CelerData Cloud, enhancing their data strategy implementation and support.

What Are Recent G2 Reviews of CelerData Cloud?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 9, 2026