Best Data Fabric Software - Page 2

How Many Data Fabric Software Products Does G2 Track?

Total Products under this Category: 85

Category Stats (Sep 2026)

  • Average Rating: 4.34/5 (↑0.02 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cloudera (+2.21%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

Last updated: September 03, 2026

How Does G2 Rank Data Fabric Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 2,200+ Authentic Reviews
  • 85+ 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 Data Fabric Software

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

Highlighted products: ServiceNow Workflow Data Fabric, SAP Datasphere, K2View, Palantir Foundry, timextender, Denodo, Astro by Astronomer, and Cloudera.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-fabric/grids.json?focus%5B%5D=servicenow-workflow-data-fabric&focus%5B%5D=sap-datasphere&focus%5B%5D=k2view&focus%5B%5D=palantir-foundry&focus%5B%5D=timextender&focus%5B%5D=denodo&focus%5B%5D=astro-by-astronomer&focus%5B%5D=cloudera)

Talend Data Fabric

Talend Data Fabric is a unified platform that enables you to manage all your enterprise data within a single environment. Leverage all the cloud has to offer to manage your entire data lifecycle – from connecting the broadest set of data sources and platforms to intuitive self-service data access.

Average Rating: 4.3/5.0

Total Reviews: 62

How Do G2 Users Rate Talend Data Fabric?

  • Governance: 8.3/10 (Category avg: 9.0/10)
  • Data Integration: 8.9/10 (Category avg: 8.9/10)
  • Ease of Use: 8.1/10 (Category avg: 8.7/10)
  • Data Protection: 8.1/10 (Category avg: 9.0/10)

Who Is the Company Behind Talend Data Fabric?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • Twitter: @qlik
    64,130 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,399 employees on LinkedIn®
  • Phone: 1 (888) 994-9854

Who Uses This Product?

  • Company Size: 45% Medium, 28% Large

What Do G2 Reviewers Say About Talend Data Fabric?

AI-generated summary from verified user reviews

Pros
  • Users praise the seamless orchestration of data flows in Talend Data Fabric, enhancing efficiency in managing data pipelines.
  • Users appreciate the unified approach to data integration provided by Talend Data Fabric, enhancing their efficiency and flexibility.
  • Users appreciate the intuitive interface of Talend Data Fabric, enabling efficient design and management of data pipelines.
  • Users value the flexibility of Talend Data Fabric, enabling effortless integration across diverse data sources and workflows.
  • Users value the efficient handling of large data volumes with Talend Data Fabric, enhancing performance and scalability.
Cons
  • Users often face a steep learning curve with Talend Data Fabric, making it challenging for beginners to navigate.
  • Users find the high cost of Talend Data Fabric to be a significant drawback despite its capabilities.
  • Users emphasize the need for UX improvement in Talend Data Fabric due to its unintuitive interface and steep learning curve.
  • Users find the poor documentation of Talend Data Fabric makes troubleshooting and getting started quite challenging.
  • Users report slow performance issues with Talend Data Fabric, particularly when handling extremely large datasets.

What Are Recent G2 Reviews of Talend Data Fabric?

What Are G2 Users Discussing About Talend Data Fabric?

TIBCO Data Fabric

Data virtualization breaks down data silos delivering one place to access, combine, and provision all your data. Business-friendly data views simplify access and hide IT complexity. Agile data engineering speeds time-to-solution, reduces costs, and delivers the most up-to-date and complete information to your business.

Average Rating: 4.2/5.0

Total Reviews: 10

How Do G2 Users Rate TIBCO Data Fabric?

  • Governance: 7.9/10 (Category avg: 9.0/10)
  • Data Integration: 8.1/10 (Category avg: 8.9/10)
  • Ease of Use: 8.5/10 (Category avg: 8.7/10)
  • Data Protection: 7.9/10 (Category avg: 9.0/10)

Who Is the Company Behind TIBCO Data Fabric?

Who Uses This Product?

  • Company Size: 60% Large, 40% Medium

What Are Recent G2 Reviews of TIBCO Data Fabric?

What Are G2 Users Discussing About TIBCO Data Fabric?

Mosaic.

Mosaic is the art of data management. Create your bigger picture with our Mosaic line of data products. It offers trusted tools that optimize the way you discover, evaluate, and visualize quality insights.

Average Rating: 4.0/5.0

Total Reviews: 12

How Do G2 Users Rate Mosaic.?

  • Governance: 8.3/10 (Category avg: 9.0/10)
  • Data Integration: 7.1/10 (Category avg: 8.9/10)
  • Ease of Use: 8.3/10 (Category avg: 8.7/10)
  • Data Protection: 7.9/10 (Category avg: 9.0/10)

Who Is the Company Behind Mosaic.?

  • Seller: CMA Consulting
  • Year Founded: 1984
  • HQ Location: Latham, NY
  • Twitter: @CMACorp
    220 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    428 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 42% Medium

What Are Recent G2 Reviews of Mosaic.?

Tengu DataOps platform

TENGU originated in 2016 as a solution to automate non-value generating tasks and more quickly set up data architectures, so there would be more time to dedicate to gaining actionable insights. In 2020 TENGU became a fully functional DataOps platform with many more functions and capabilities. TENGU is a DataOps platform for data-driven companies, that enables them to improve the efficiency of data scientists, analysts and other profiles inside the company. It enables them to focus on business intelligence instead of data operations. TENGU is available through a Platform-as-a-Service license (TENGU.CORE or TENGU.PLUS) and connects to any company infrastructure (e.g. GCE, AWS, Azure, VMWare, OpenStack, MaaS). It enables teams to work more efficiently with the most useful data and collaborate better, giving a boost to your business value and revenue growth.

Average Rating: 4.3/5.0

Total Reviews: 16

How Do G2 Users Rate Tengu DataOps platform?

  • Governance: 9.0/10 (Category avg: 9.0/10)
  • Data Integration: 9.2/10 (Category avg: 8.9/10)
  • Ease of Use: 8.6/10 (Category avg: 8.7/10)
  • Data Protection: 9.4/10 (Category avg: 9.0/10)

Who Is the Company Behind Tengu DataOps platform?

  • Seller: Tengu
  • Year Founded: 2016
  • HQ Location: Gent, (Oost-Vlaanderen)
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 50% Medium, 38% Small

What Are Recent G2 Reviews of Tengu DataOps platform?

SyncWith

Access 1000s of APIs and get the data you need.

Average Rating: 4.0/5.0

Total Reviews: 11

How Do G2 Users Rate SyncWith?

  • Governance: 7.8/10 (Category avg: 9.0/10)
  • Data Integration: 9.4/10 (Category avg: 8.9/10)
  • Ease of Use: 8.3/10 (Category avg: 8.7/10)
  • Data Protection: 9.0/10 (Category avg: 9.0/10)

Who Is the Company Behind SyncWith?

Who Uses This Product?

  • Company Size: 73% Small, 27% Medium

What Do G2 Reviewers Say About SyncWith?

AI-generated summary from verified user reviews

Pros
  • Users love the easy setup with Google Sheets, making integration seamless and quick.
Cons
  • Users often face disconnection issues with SyncWith, requiring frequent debugging for a stable experience.

What Are Recent G2 Reviews of SyncWith?

Atlan

Atlan is the context layer for enterprise AI. It continuously reads your warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context repos: bounded bundles of context that reflect how your company defines key concepts and makes decisions. These context repos are then exposed through open interfaces (SQL, APIs, SDKs, OSI/MCP-style protocols) so that agents, copilots, and AI applications can call the same trusted context in real time, rather than each team hard-coding its own logic. Human-on-the-loop governance workflows for conflict resolution, deprecation, feedback, and certification keep that context trustworthy as the business, data, and models evolve.

Average Rating: 4.5/5.0

Total Reviews: 134

How Do G2 Users Rate Atlan?

  • Governance: 8.3/10 (Category avg: 9.0/10)
  • Data Integration: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.7/10)
  • Data Protection: 7.5/10 (Category avg: 9.0/10)

Who Is the Company Behind Atlan?

  • Seller: Atlan
  • Company Website:
  • Year Founded: 2019
  • HQ Location: New York, US
  • Twitter: @AtlanHQ
    9,804 Twitter followers
  • LinkedIn® Page: in.linkedin.com
    558 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Information Technology and Services
  • Company Size: 51% Medium, 42% Large

What Do G2 Reviewers Say About Atlan?

AI-generated summary from verified user reviews

Pros
  • Users commend Atlan for its ease of use, making data collaboration smooth and accessible for all.
  • Users appreciate Atlan's exceptional data discovery and collaboration features, simplifying data management and ensuring high quality.
  • Users value Atlan for its seamless data collaboration, enhancing teamwork and making data management efficient and straightforward.
  • Users value the robust data cataloging capabilities of Atlan, facilitating easy data discovery and collaboration.
  • Users appreciate the easy setup of Atlan, enhancing productivity and collaboration without technical barriers.
Cons
  • Users report integration issues with Teams and non-native databases, requiring more efficient setup and user management.
  • Users face dependency issues with Atlan's tools, impacting functionality and limiting integration capabilities.
  • Users find the limited customization options in Atlan restrictive, affecting adaptability for specific team workflows.
  • Users experience slow technical support and inaccuracies, impacting the overall effectiveness and user satisfaction with Atlan.
  • Users find user interface issues hinder usability, with limited customization and a steep learning curve for business users.

What Are Recent G2 Reviews of Atlan?

ILUM

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible.

Average Rating: 4.9/5.0

Total Reviews: 23

How Do G2 Users Rate ILUM?

  • Governance: 10.0/10 (Category avg: 9.0/10)
  • Data Integration: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 9.3/10 (Category avg: 8.7/10)
  • Data Protection: 10.0/10 (Category avg: 9.0/10)

Who Is the Company Behind ILUM?

  • Seller: Ilum
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Santa Fe, US
  • Twitter: @IlumCloud
    19 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Telecommunications
  • Company Size: 52% Large, 35% Medium

What Do G2 Reviewers Say About ILUM?

AI-generated summary from verified user reviews

Pros
  • Users praise ILUM for its ease of use, with a clean UI and quick deployment enhancing productivity and workflow.
  • Users praise ILUM for its seamless integration, user-friendly interface, and excellent customer support, streamlining data management effectively.
  • Users value the seamless integrations of ILUM, enhancing productivity by connecting various systems and streamlining workflows.
  • Users love the ease of setup with ILUM, noting quick deployments and user-friendly interfaces that enhance productivity.
  • Users value the easy integrations of ILUM, enhancing their data workflows and simplifying complex processes effortlessly.
Cons
  • Users note that the complex setup of ILUM can be challenging, requiring time and effort to configure properly.
  • Users note the difficult setup of ILUM, requiring experimentation and digging for advanced configurations and integrations.
  • Users note the steep learning curve for new users, though intuitive daily use improves after initial setup.
  • Users note that the UX could be improved with more intuitive navigation and clearer configuration options.
  • Users find ILUM's complexity in advanced configurations may require time and effort to fully navigate and optimize.

What Are Recent G2 Reviews of ILUM?

Environments as a Service

Uffizzi drives 20-50% improvements in development velocity by empowering software development teams with ephemeral environments (also known as preview environments). By providing these environments "on-demand" for Development, QA, Staging, and Demos, Uffizzi enables teams to overcome shared environments bottlenecks, meet capacity in real time, eliminate manual set-up for DevOps personnel, and unlock huge efficiencies at scale. Uffizzi offers a fully containerized solution that is the most cost effective, lightweight, and fast environments as a service solution on the market. Trusted by Open Source and some of the world's most innovative software teams at Spotify, NocoDB, Dev.to, Meilisearch and many others.

Average Rating: 4.5/5.0

Total Reviews: 8

How Do G2 Users Rate Environments as a Service?

  • Governance: 7.6/10 (Category avg: 9.0/10)
  • Data Integration: 8.8/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.7/10)
  • Data Protection: 7.9/10 (Category avg: 9.0/10)

Who Is the Company Behind Environments as a Service?

  • Seller: Uffizzi
  • Year Founded: 2021
  • HQ Location: Nashville, US
  • Twitter: @Uffizzi_
    1,409 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Accounting
  • Company Size: 63% Large, 25% Medium

What Are Recent G2 Reviews of Environments as a Service?

Scikiq: Comprehensive Data Management Platform

SCIKIQ help make AI possible for enterprises. SCIKIQ brings together everything an enterprise needs to scale AI, clean data, trusted governance, semantic context, real-time orchestration, and intelligent agents, all in one platform. SCIKIQ brings Data Hub, a Unified Data Layer, a foundational architecture that creates a single version of truth across all data sources, departments, and use cases within the enterprise. SCIKIQ Data Hub brings Data integration, Processing and Curation, Data Governance and Data Visualisation all in one platform. It also brings Gen AI studio, Agentic AI and Auto ML studio for your AI Initiatives. Our Conversation (Self Service) Analytics, prompt to process (data analytics, Dashboards, Agents, insights & products) AI Co-pilot is among the best in the world Recognized by Forrester as top 34 AI enabled platform in the world, By NASSCOM in top 10 in Deep Tech club and By YourStory and Inc Media in Top 30 companies to watch. Selected by AWS to showcase at MWC and AWS re:Invent

Average Rating: 4.6/5.0

Total Reviews: 13

How Do G2 Users Rate Scikiq: Comprehensive Data Management Platform?

  • Governance: 10.0/10 (Category avg: 9.0/10)
  • Data Integration: 9.7/10 (Category avg: 8.9/10)
  • Ease of Use: 9.4/10 (Category avg: 8.7/10)
  • Data Protection: 10.0/10 (Category avg: 9.0/10)

Who Is the Company Behind Scikiq: Comprehensive Data Management Platform?

  • Seller: SCIKIQ
  • Year Founded: 2023
  • HQ Location: Gurgaon
  • Twitter: @scikiq
    9 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    44 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 38% Large, 31% Medium

What Do G2 Reviewers Say About Scikiq: Comprehensive Data Management Platform?

AI-generated summary from verified user reviews

Pros
  • Users find SCIKIQ to be easy to use, enjoying its intuitive interface and seamless customization options.
  • Users value the ease of use of Scikiq, especially its intuitive interface for managing complex data workflows.
  • Users value the seamless integration and ease of use of Scikiq, making data management efficient and accessible.
  • Users appreciate the seamless data integration capabilities of Scikiq, enabling efficient management of complex workflows.
  • Users value the easy setup of Scikiq, finding its intuitive design effortless for data management tasks.
Cons
  • Users find complexity issues with SCIKIQ's implementation, making integration with other platforms frustrating at times.
  • Users find some features of Scikiq to be complex, which can hinder their overall user experience.
  • Users find the complex implementation of Scikiq's data management challenging, leading to potential frustration.
  • Users find the software too pricey and suggest aligning its cost with similar market products.
  • Users find integration issues with certain platforms frustrating, adding to the overall complexity of Scikiq.

What Are Recent G2 Reviews of Scikiq: Comprehensive Data Management Platform?

Anzo

Altair® Graph Studio™ (formerly Anzo) is a comprehensive data discovery and integration toolset that applies a semantic, graph-based data fabric layer over diverse enterprise data sources. This semantic layer adds real-world meaning to data – structured and unstructured alike – making insights clearer and previously unseen connections explicit. Graph Studio creates a single pane of glass for an enterprise's data, eliminates data silos, activates unused data, and enables exciting new levels of on-demand business insight.

Average Rating: 4.3/5.0

Total Reviews: 11

How Do G2 Users Rate Anzo?

  • Governance: 9.2/10 (Category avg: 9.0/10)
  • Data Integration: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 9.4/10 (Category avg: 8.7/10)
  • Data Protection: 9.2/10 (Category avg: 9.0/10)

Who Is the Company Behind Anzo?

Who Uses This Product?

  • Company Size: 45% Small, 36% Medium

What Are Recent G2 Reviews of Anzo?

Fraxses

Fraxses by Intenda is a data management platform used by organisations across multiple industries. It enables organisations to connect all their data sources in a single ecosystem, with full lineage and pedigree. While the data sources may be in different locations and utilise different technologies, users experience them as part of the same virtual environment. Fraxses can connect to virtually any data source, and can process structured and unstructured data. Leveraging data virtualisation, Fraxses advances a connect, not collect approach, serving data direct from the source in real-time. As an end-to-end solution, the platform frees businesses from having to maintain and manage multiple products, and provides the ideal framework on which to build a data fabric. Fraxses comprises various modules that are used for different functions: Legoz – the platform’s front-end provides the intuitive user interface that makes it easy for business users to engage with data. Insights - this data visualisation module incorporates powerful business analytics technology with a proven track record in the embedded BI space. Integrate – facilitates all types of data integration, including real-time and batch processing, and supports both ETL and ELT. Opus – Intenda’s development teams use this low-code/no-code application development platform to create bespoke solutions and custom applications. When businesses invest in Fraxses, they are assured of a swift ROI, and a futureproof solution to meet tomorrow’s data demands.

Average Rating: 4.6/5.0

Total Reviews: 6

How Do G2 Users Rate Fraxses?

  • Governance: 9.4/10 (Category avg: 9.0/10)
  • Data Integration: 9.6/10 (Category avg: 8.9/10)
  • Ease of Use: 9.3/10 (Category avg: 8.7/10)
  • Data Protection: 9.4/10 (Category avg: 9.0/10)

Who Is the Company Behind Fraxses?

  • Seller: Intenda
  • Year Founded: 2001
  • HQ Location: Johannesburg, ZA
  • Twitter: @Intenda
    50 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    94 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of Fraxses?

Cluedin

CluedIn is the modern Master Data Management platform that accelerates the time it takes to prepare data for insight by up to 80%. Our zero-modeling, schemaless approach means that data stewards no longer need to spend time manually modeling, mapping and integrating their data, allowing the natural data model to emerge and evolve with your business. Not only does this save time and money, it also means that the quality of your data can improve by up to 50% in as little as six weeks. Our system integrates with over 27 Microsoft Azure Data and Analytics Services, including Purview and the Fabric suite. We were also the first MDM vendor to integrate with Azure OpenAI and to launch our own AI Assistant. With CluedIn, integrate data 60% faster, validate and deduplicate data 50% quicker, and raise analytics accuracy by 25%.

Average Rating: 4.1/5.0

Total Reviews: 12

How Do G2 Users Rate Cluedin?

  • Governance: 7.8/10 (Category avg: 9.0/10)
  • Data Integration: 6.1/10 (Category avg: 8.9/10)
  • Ease of Use: 7.9/10 (Category avg: 8.7/10)
  • Data Protection: 7.2/10 (Category avg: 9.0/10)

Who Is the Company Behind Cluedin?

  • Seller: CluedIn
  • Year Founded: 2015
  • HQ Location: Copenhagen, Copenhagen
  • Twitter: @cluedinhq
    2,422 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 42% Medium, 33% Large

What Do G2 Reviewers Say About Cluedin?

AI-generated summary from verified user reviews

Pros
  • Users find the AI features of Cluedin excellent, especially for non-technical users, enhancing data management efficiency.
  • Users appreciate the excellent customer support provided by Cluedin, enhancing their overall experience with the product.
  • Users appreciate the easy setup of Cluedin, allowing quick data integration without complications.
Cons
  • Users find the learning curve steep due to unfamiliar terminology, despite good documentation available.

What Are Recent G2 Reviews of Cluedin?

MapR-DB

ndustry’s first edge to cloud data fabric that ingests and centralizes different types of data into a single logical infrastructure increasing data integrity and trust in data-driven insights.

Average Rating: 3.3/5.0

Total Reviews: 5

How Do G2 Users Rate MapR-DB?

  • Governance: 6.7/10 (Category avg: 9.0/10)
  • Data Integration: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 7.9/10 (Category avg: 8.7/10)
  • Data Protection: 8.8/10 (Category avg: 9.0/10)

Who Is the Company Behind MapR-DB?

  • Seller: HP Development Company
  • Year Founded: 1939
  • HQ Location: Palo Alto, CA
  • Twitter: @HPE
    92,685 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    92,617 employees on LinkedIn®
  • Ownership: NYSE: HPQ

Who Uses This Product?

  • Company Size: 60% Medium, 20% Large

What Are Recent G2 Reviews of MapR-DB?

Promethium

Promethium delivers self-service data at AI scale through its revolutionary Instant Data Fabric™ — the first agentic platform purpose-built for modern enterprises. Unlike traditional data architectures that require complex ETL pipelines and data movement, Promethium provides real-time, zero-copy access to distributed data across cloud, on-premises, and SaaS platforms. The platform's 360° Context Engine aggregates technical and business metadata to ensure accurate, contextual responses, while Mantra™, our Data Answer Agent, enables teams to build and share reusable data products instantly. Promethium empowers data teams to respond 10x faster to business questions while maintaining enterprise-grade governance and security.

Average Rating: 4.2/5.0

Total Reviews: 13

How Do G2 Users Rate Promethium?

  • Governance: 9.6/10 (Category avg: 9.0/10)
  • Data Integration: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 7.8/10 (Category avg: 8.7/10)
  • Data Protection: 10.0/10 (Category avg: 9.0/10)

Who Is the Company Behind Promethium?

  • Seller: Promethium
  • Year Founded: 2018
  • HQ Location: Menlo Park, US
  • Twitter: @PromethiumI
    366 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 46% Medium, 31% Large

What Do G2 Reviewers Say About Promethium?

AI-generated summary from verified user reviews

Pros
  • Users value the centralized data management capabilities of Promethium, enhancing collaboration and decision-making through analytics.
  • Users praise the centralized analytics of Promethium, enhancing teamwork and improving decision-making effortlessly.
  • Users value the centralized collaboration capabilities of Promethium, enhancing teamwork and data-driven decision-making.
  • Users appreciate the centralized data management of Promethium, enhancing teamwork and simplifying analytics with AI.
  • Users highlight the interactive visualizations of Promethium, enhancing their ability to understand and leverage data effectively.
Cons
  • Users find the complexity of insights challenging, making it hard for non-experts to interpret effectively.
  • Users find complex insights challenging to interpret, making it hard for non-experts to utilize the product effectively.
  • Users find that difficult learning hampers their ability to interpret complex insights effectively.
  • Users find the lack of features in Promethium frustrating compared to more established analytics tools.
  • Users find the limited features of Promethium frustrating compared to other analytics tools available on the market.

What Are Recent G2 Reviews of Promethium?

Streamscape

StreamScape is a technology for agile data preparation and real-time analysis that offers powerful query and schema-on-read capabilities, allowing users to aggregate any data on-demand without creating additional copies.

Average Rating: 3.5/5.0

Total Reviews: 5

How Do G2 Users Rate Streamscape?

  • Governance: 8.7/10 (Category avg: 9.0/10)
  • Data Integration: 8.7/10 (Category avg: 8.9/10)
  • Ease of Use: 7.7/10 (Category avg: 8.7/10)
  • Data Protection: 7.9/10 (Category avg: 9.0/10)

Who Is the Company Behind Streamscape?

Who Uses This Product?

  • Company Size: 60% Medium, 20% Large

What Are Recent G2 Reviews of Streamscape?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated October 3, 2024