# Best Data Management Software ## How Many Data Management Software Products Does G2 Track? **Total Products under this Category:** 70 ### Category Stats (Aug 2026) - **Average Rating:** 4.58/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** Precision Bridge Data Migrator (+1.46%) - Among all products in this category, Precision Bridge Data Migrator recorded the largest rating increase compared to last month _Last updated: August 27, 2026_ ## How Does G2 Rank Data Management Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 1,800+ Authentic Reviews - 70+ 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 Management Software ![G2 Grid® for Data Management Software plotting products by satisfaction and market presence](https://www.g2.com/categories/data-management-software/grids.png?focus%5B%5D=10470&focus%5B%5D=1173013&focus%5B%5D=1469297) Highlighted products: Databricks, Data 360 (formerly Salesforce Data Cloud), and Exportly. Underlying data: [Grid® JSON](https://www.g2.com/categories/data-management-software/grids.json?focus%5B%5D=databricks&focus%5B%5D=data-360-formerly-salesforce-data-cloud&focus%5B%5D=exportly) **Sponsored** ### Amazon Relational Database Service (RDS) Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your relational database instance via a single API call. In addition, Amazon RDS makes it easy to use replication to enhance availability and reliability for production databases. Amazon RDS for MySQL also enables you to scale out beyond the capacity of a single database deployment for read-heavy database workloads. As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=2736&secure%5Bchosen_at%5D=2026-08-29T16%3A33%3A54Z&secure%5Bdisplayable_resource_id%5D=2736&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2736&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=585&secure%5Bresource_id%5D=2736&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-management-software&secure%5Btoken%5D=da58adf848795caa3be76ca982ad08840806baff38527cf75f0bf73c80ed9bad&secure%5Burl%5D=https%3A%2F%2Faws.amazon.com%2Frds%2F%3Ftrk%3D25520a98-a4dc-4a0a-96d8-d9ffc4430c6e%26sc_channel%3Ddisplay%2Bads&secure%5Burl_type%5D=custom_url) ### [Databricks](https://www.g2.com/products/databricks/reviews) Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value. **Average Rating:** 4.6/5.0 **Total Reviews:** 1,332 #### Who Is the Company Behind Databricks? - **Seller:** [Databricks Inc.](https://www.g2.com/sellers/databricks-inc) - **Company Website:** databricks.com - **Year Founded:** 2013 - **HQ Location:** San Francisco, CA - **Twitter:** @databricks 92,269 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bddca64732f61b923d96364e8c8eb35711aab4f98797cb00ab071ff24fbdd392&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3477522%2F&secure%5Burl_type%5D=linkedin_company_website) 15,627 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 47% Large, 38% Medium #### What Do G2 Reviewers Say About Databricks? _AI-generated summary from verified user reviews_ ##### Pros - Users enjoy the **ease of use and extensive features** of Databricks, streamlining data warehousing and machine learning tasks. - Users appreciate the **ease of use** of Databricks, enhancing their experience with its intuitive interface and efficient features. - Users value the **seamless integrations with AWS services** that enhance efficiency and support diverse business needs. - Users value the **seamless collaboration** provided by Databricks, enhancing teamwork on data projects and insights sharing. - Users value the **wide array of integrated analytical features** in Databricks, enhancing efficiency and collaboration in data projects. ##### Cons - Users face a **steep learning curve** with Databricks, as its complexity can be confusing for newcomers. - Users note that the **cost of Databricks can be quite high** , particularly for large data projects and limited free options. - Users find the **steep learning curve** of Databricks challenging, particularly for those unfamiliar with big data tools. - Users find the **complexity** of Databricks challenging, especially during initial setup and navigation of advanced features. - Users encounter **complex setup** challenges with Databricks initially, but support helps resolve issues quickly. #### What Are Recent G2 Reviews of Databricks? **["Databricks Streamlines ETL and Analytics with Scalable Notebooks"](https://www.g2.com/survey_responses/databricks-review-13181721)** **Rating:** 5.0/5.0 stars _— Diana C._ [Read full review](https://www.g2.com/survey_responses/databricks-review-13181721) **["Reliable Platform for Building Scalable Data Pipelines"](https://www.g2.com/survey_responses/databricks-review-13198355)** **Rating:** 5.0/5.0 stars _— aravind k._ [Read full review](https://www.g2.com/survey_responses/databricks-review-13198355) #### What Are G2 Users Discussing About Databricks? - [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments, 1 upvote - [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments - [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 3 upvotes - [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes ### [Data 360 (formerly Salesforce Data Cloud)](https://www.g2.com/products/data-360-formerly-salesforce-data-cloud/reviews) Data 360 is the system of context for the Agentic Enterprise. Natively built on the Salesforce platform, it connects every source of data you have—from data lakes to warehouses—creating a unified view of your business that your teams and AI agents can act on. And with Zero Copy capabilities, you get all of this without the cost or complexity of moving a single byte of data. Instead of relying on outdated information, your employees and AI agents operate from a complete, real-time understanding of your business exactly when it’s needed. This allows you to immediately personalize every customer experience, unlock connected journeys, and power smarter AI agents grounded in trusted business context. Data 360 activates your trusted context across every surface and every agent in your enterprise—wherever the work happens. **Average Rating:** 4.3/5.0 **Total Reviews:** 308 #### Who Is the Company Behind Data 360 (formerly Salesforce Data Cloud)? - **Seller:** [Salesforce](https://www.g2.com/sellers/salesforce) - **Company Website:** www.salesforce.com - **Year Founded:** 1999 - **HQ Location:** San Francisco, CA - **Twitter:** @salesforce 579,511 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c04f36289ca03aeff007197f1d9e74e925e328ed6bcfaff98911c78b3ab382f7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3185%2F&secure%5Burl_type%5D=linkedin_company_website) 83,223 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Salesforce Developer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 39% Medium, 39% Large #### What Do G2 Reviewers Say About Data 360 (formerly Salesforce Data Cloud)? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **real-time platform integration** of Salesforce Data 360, enhancing personalization and driving smarter decisions. - Users value the **ease of use** of Salesforce Data Cloud, enjoying time savings and streamlined data access. - Users value the **easy integration** of Salesforce Data 360, facilitating seamless data unification and enhanced reporting capabilities. - Users value the **efficient data aggregation** in Salesforce Data 360, enhancing insights and unified customer profiling. - Users value the **seamless integrations** of Salesforce Data 360, enhancing real-time data access and unified customer profiles. ##### Cons - Users find the **learning curve steep** for Salesforce Data Cloud, requiring significant support for setup and maintenance. - Users find Salesforce Data 360 to be **expensive** , facing challenges with unpredictable costs and a steep learning curve. - Users face a **difficult learning curve** with Salesforce Data 360, finding the setup and terminology quite challenging. - Users find the **initial setup complex** , facing a steep learning curve and challenges in configuration and data management. - Users face a **complex setup** , with a steep learning curve that complicates the initial experience and usability. #### What Are Recent G2 Reviews of Data 360 (formerly Salesforce Data Cloud)? **["Unified, Real-Time Customer Profiles with Powerful Salesforce Integration"](https://www.g2.com/survey_responses/data-360-formerly-salesforce-data-cloud-review-13224193)** **Rating:** 4.5/5.0 stars _— Chirag C._ [Read full review](https://www.g2.com/survey_responses/data-360-formerly-salesforce-data-cloud-review-13224193) **["Salesforce Data 360: Seamless Data Unification with Real-Time Insights"](https://www.g2.com/survey_responses/data-360-formerly-salesforce-data-cloud-review-13231710)** **Rating:** 4.5/5.0 stars _— Vedarth K._ [Read full review](https://www.g2.com/survey_responses/data-360-formerly-salesforce-data-cloud-review-13231710) #### What Are G2 Users Discussing About Data 360 (formerly Salesforce Data Cloud)? - [What is the benefit of the hub and spoke design of customer 360 Data Manager?](https://www.g2.com/discussions/what-is-the-benefit-of-the-hub-and-spoke-design-of-customer-360-data-manager) - [What is customer 360 Data Manager?](https://www.g2.com/discussions/what-is-customer-360-data-manager) - [What does customer 360 Data Manager provide businesses?](https://www.g2.com/discussions/what-does-customer-360-data-manager-provide-businesses) ### [Exportly](https://www.g2.com/products/exportly/reviews) Frontier is a browser extension that gives sales reps one-click access to the workflows, AI agents and MCPs their GTM team builds — on any page they're prospecting from. RevOps and GTM Engineers build the plays in Clay and connect their existing stack: Clay MCP, Salesforce MCP and others. Frontier deploys those plays to reps inside the browser, where the contact profile, the company site or the email in front of them is already available as context. No exporting to a spreadsheet, no switching to a separate chat tool, no re-explaining what's already on screen. Reps get proven plays pre-loaded rather than a blank prompt: waterfall contact enrichment, buying committee mapping, pre-call research, account scoring, lookalike prospecting, CRM sync and dedupe. Because enrichment routes through Clay's data providers, teams use their own credits and 150+ sources instead of being locked into a single vendor's database. Ops keeps control throughout — choose which workflows reps can trigger, set usage caps, whitelist sites, manage access with SSO, and see which plays actually drive pipeline. SOC 2 Type II audited. Frontier is used by SDRs, Account Executives and RevOps teams at companies including Zoom, Glean, Pendo, Cursor, Webflow and BILL. Formerly Exportly. **Average Rating:** 4.8/5.0 **Total Reviews:** 13 #### Who Is the Company Behind Exportly? - **Seller:** [Exportly](https://www.g2.com/sellers/exportly) - **Year Founded:** 2019 - **HQ Location:** San Francisco, United States - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=83734a7568f472494277125d7d0151ef0aaa435986854e820f9f593ee234c415&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbefrontier&secure%5Burl_type%5D=linkedin_company_website) 99 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software - **Company Size:** 62% Medium, 31% Small #### What Do G2 Reviewers Say About Exportly? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **affordability** and flexibility of Exportly, enhancing control over costs and data quality. - Users value how Exportly streamlines **contact information management** , significantly enhancing efficiency for sales representatives. - Users value the **seamless CRM integration** of Exportly, significantly speeding up the data management process for sales teams. - Users value how Exportly's **efficiency in contact information management** saves time and enhances productivity for sales teams. - Users appreciate the **improved data accuracy** with Exportly, gaining better control over costs and data usage. ##### Cons - Users wish for more **CRM integration options** in Exportly to enhance workflow and trigger enrichment flows easily. - Users wish for more options to trigger enrichment flows, highlighting the **missing features** in Exportly's capabilities. #### What Are Recent G2 Reviews of Exportly? **["Streamlined SDR Workflows with Ease and Flexibility"](https://www.g2.com/survey_responses/exportly-review-13136162)** **Rating:** 4.0/5.0 stars _— Joel B._ [Read full review](https://www.g2.com/survey_responses/exportly-review-13136162) **["Effortless CRM Updates, Boosted Sales Efficiency"](https://www.g2.com/survey_responses/exportly-review-13133235)** **Rating:** 5.0/5.0 stars _— Terence R._ [Read full review](https://www.g2.com/survey_responses/exportly-review-13133235) ### [Scikiq: Comprehensive Data Management Platform](https://www.g2.com/products/scikiq-comprehensive-data-management-platform/reviews) 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 #### Who Is the Company Behind Scikiq: Comprehensive Data Management Platform? - **Seller:** [SCIKIQ](https://www.g2.com/sellers/scikiq) - **Year Founded:** 2023 - **HQ Location:** Gurgaon - **Twitter:** @scikiq 9 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c5f8771220ca8b92db6a8079a589a508bacd7af1eaa6f84b4a12fbc1af817170&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FSCIKIQ&secure%5Burl_type%5D=linkedin_company_website) 38 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 38% Large, 31% Small #### 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? **["Scikiq: Low-Code Integrations, Smooth Performance, and Excellent Support"](https://www.g2.com/survey_responses/scikiq-comprehensive-data-management-platform-review-13186744)** **Rating:** 4.5/5.0 stars _— Verified User in Facilities Services_ [Read full review](https://www.g2.com/survey_responses/scikiq-comprehensive-data-management-platform-review-13186744) **["Easy Drag-and-Drop ETL with Helpful Scheduling and Logs"](https://www.g2.com/survey_responses/scikiq-comprehensive-data-management-platform-review-13158589)** **Rating:** 4.5/5.0 stars _— Kartik V._ [Read full review](https://www.g2.com/survey_responses/scikiq-comprehensive-data-management-platform-review-13158589) ### [Syncari](https://www.g2.com/products/syncari/reviews) Syncari is an AI-ready, Agentic MDM platform that unifies, governs, and activates trusted data across all your systems, domains, and cloud infrastructure. Built for enterprises navigating the complexity of multi-agent environments and AI-driven operations, Syncari automates core data management workflows—from data modeling and lineage to validation and remediation—without needing heavy IT resources. At the heart of Syncari is its patented multi-directional sync, delivering real-time, bi-directional data consistency across CRMs, ERPs, cloud platforms, and data warehouses—without custom code or middleware. Syncari ensures continuously clean, synchronized, and governed data flows throughout your enterprise and is always ready for analytics, AI models, and operational use. Whether you're powering AI copilots, managing complex entity relationships, or standardizing data pipelines, Syncari helps you move beyond just managing data—to activating it. Why Syncari? -Syncari Agentic MDM™: Designed for orchestrating trusted data across AI agents and teams -Patented Multi-Directional Sync: Real-time updates across all connected platforms -Agentic Ops: Schema sync, field mapping, DQ enforcement, and remediation -Entity Resolution: Consolidate and deduplicate records across domains -Composable + Cloud-First: Built to plug into your existing SaaS and data stack -Low-Code / No-Code: Accessible to IT, data teams, RevOps, and business users alike Core Capabilities Unify, Sync, Automate, Activate, Model, Catalog, Lineage, Transform, Standardize, Verify, Remediate, Observe, Report, Consume Top Use Cases - Customer Master: Build a unified customer profile across GTM systems - Product Master: Align and enrich product data across eCommerce and ERP - Hierarchy Master: Govern legal entities, accounts, and territories - Analytics MDM: Push AI-ready data into BI tools and ML workflows - Data Products: Operationalize governed datasets for internal and external use - Data Quality: Automatically identify, validate, standardize, and remediate data issues across systems - MDM for Snowflake: Sync and manage master data directly inside Snowflake - MDM for GCP: Connect, unify, and activate trusted data in BigQuery and GCP tools - MDM for Your Data Warehouse: Maintain clean, governed, query-ready data across your cloud warehouse infrastructure -MCP Server for your unified data **Average Rating:** 4.8/5.0 **Total Reviews:** 41 #### Who Is the Company Behind Syncari? - **Seller:** [Syncari](https://www.g2.com/sellers/syncari) - **Year Founded:** 2019 - **HQ Location:** Newark, California - **Twitter:** @syncari 236 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=da029888f8c85f818208e239614050bb139973474b1aa30aa1cfe9035ae2ca2f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsyncari%2F&secure%5Burl_type%5D=linkedin_company_website) 51 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 51% Medium, 44% Small #### What Are Recent G2 Reviews of Syncari? **["Good Experience using Syncari as an Integration Architect"](https://www.g2.com/survey_responses/syncari-review-9550011)** **Rating:** 5.0/5.0 stars _— MUSTAPHA I._ [Read full review](https://www.g2.com/survey_responses/syncari-review-9550011) **["Nicely Packaged Versatility and POWER"](https://www.g2.com/survey_responses/syncari-review-9566623)** **Rating:** 5.0/5.0 stars _— John M._ [Read full review](https://www.g2.com/survey_responses/syncari-review-9566623) #### What Are G2 Users Discussing About Syncari? - [What is Syncari used for?](https://www.g2.com/discussions/what-is-syncari-used-for) - 1 comment ### [Precision Bridge Data Migrator](https://www.g2.com/products/precision-bridge-data-migrator/reviews) Precision Bridge is dedicated to simplifying data migration and data management across enterprise Service Management platforms - covering data migration, archiving, replication and synchronisation. With over 150 successful projects and more than 1 billion records migrated, Precision Bridge has the expertise and the tooling to make your next migration simple and fast. The Precision Bridge Data Migration and Management Solution has collectively saved organisations over 100,000 hours - freeing teams to focus on what matters most, while we handle the complexity of moving their Service Management data. **Average Rating:** 4.7/5.0 **Total Reviews:** 6 #### Who Is the Company Behind Precision Bridge Data Migrator? - **Seller:** [Service Management Integrations Limited](https://www.g2.com/sellers/service-management-integrations-limited-cc9d971b-1c57-4761-82de-91f30ffced5d) - **Year Founded:** 2014 - **HQ Location:** London, GB - **Twitter:** @PrecisionBridge 19 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=aee79ace21178799d76ab6464d742a243ca4c70af32041296a1c910596ebb4a5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fitsm-bridge&secure%5Burl_type%5D=linkedin_company_website) 10 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 67% Medium, 33% Small #### What Do G2 Reviewers Say About Precision Bridge Data Migrator? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **software deployment capability** of Precision Bridge Data Migrator for seamless project transitions. ##### Cons - Users find the **navigation challenges for new users** in Precision Bridge Data Migrator can be frustrating and limiting. - Users find the **high cost** of Precision Bridge Data Migrator unjustifiable, especially for infrequent usage and limited features. - Users report **limited customization** options in Precision Bridge Data Migrator, making it challenging for new users to navigate. #### What Are Recent G2 Reviews of Precision Bridge Data Migrator? **["Reliable Automation for a Complex, High-Volume Enterprise Migration"](https://www.g2.com/survey_responses/precision-bridge-data-migrator-review-13073173)** **Rating:** 4.0/5.0 stars _— Venkatesh P._ [Read full review](https://www.g2.com/survey_responses/precision-bridge-data-migrator-review-13073173) **["Flexible, Fast Migration for a Complex Cloud-to-On-Prem Move"](https://www.g2.com/survey_responses/precision-bridge-data-migrator-review-13102602)** **Rating:** 5.0/5.0 stars _— Patrick D._ [Read full review](https://www.g2.com/survey_responses/precision-bridge-data-migrator-review-13102602) ### [Vast Data](https://www.g2.com/products/vast-data/reviews) VAST delivers the first AI Operating System, natively unifying and orchestrating storage, database, and compute to unleash the true power of agentic computing and data-intensive applications.​ **Average Rating:** 4.6/5.0 **Total Reviews:** 9 #### Who Is the Company Behind Vast Data? - **Seller:** [Vast Data](https://www.g2.com/sellers/vast-data) - **Year Founded:** 2016 - **HQ Location:** United States - **Twitter:** @VAST\_Data 5,839 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=573d9e77bc49cb4ef2f548c2ec8959469316ac02e1ba62bdf3d59b8be958329b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvast-data&secure%5Burl_type%5D=linkedin_company_website) 977 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services - **Company Size:** 40% Medium, 30% Small #### What Do G2 Reviewers Say About Vast Data? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **cost-effective and unified storage solutions** of Vast Data, simplifying data management and access. - Users value the **easy data management** provided by Vast Data, enabling seamless scalability and performance improvements. - Users highlight the **exceptional performance** of Vast Data, facilitating fast access and efficient data management as needs grow. - Users appreciate the **scalability** of Vast Data, effortlessly expanding data needs while maintaining high performance and simplicity. - Users appreciate the **simple interface** of Vast Data, making data storage and management easy and efficient. ##### Cons - Users find the **complex setup** of Vast Data challenging, impacting their overall experience and efficiency. - Users occasionally face **connection issues** with Vast Data, leading to unpredictable performance and occasional lag. - Users occasionally face **connectivity issues** with Vast Data, leading to lag during usage. - Users find the **cost** of Vast Data to be a significant factor impacting their business decisions. - Users mention the **high costs** associated with Vast Data, which can impact business investments and budgeting. #### What Are Recent G2 Reviews of Vast Data? **["VAST Data’s All-Flash DASE Architecture Delivers Scalable, High-Throughput AI Storage"](https://www.g2.com/survey_responses/vast-data-review-13345759)** **Rating:** 5.0/5.0 stars _— Dharmendra kumar Y._ [Read full review](https://www.g2.com/survey_responses/vast-data-review-13345759) **["High-Performance, Scalable Unified Data Platform"](https://www.g2.com/survey_responses/vast-data-review-13378787)** **Rating:** 4.0/5.0 stars _— Naincy G._ [Read full review](https://www.g2.com/survey_responses/vast-data-review-13378787) #### What Are G2 Users Discussing About Vast Data? - [What is Vast Data Universal Storage used for?](https://www.g2.com/discussions/what-is-vast-data-universal-storage-used-for) ### [Verdantis Master Data Management Suite](https://www.g2.com/products/verdantis-master-data-management-suite/reviews) Verdantis MDM Suite is an AI-native master data management software built specifically for asset-intensive industries like Oil & Gas, Mining, Energy, Utilities, and Manufacturing. Unlike generic MDM platforms, it is engineered from the ground up to handle the complexity of industrial data across materials, customers, vendors, and services, making it the go-to solution for enterprises that cannot afford data inconsistencies in their operations. Harmonize tackles legacy data by automating the cleansing, deduplication, and normalization of data accumulated from ERP migrations, acquisitions, and multi-site operations, turning years of messy records into clean, usable master data. Integrity keeps that data clean going forward through business rules, validation checks, and change workflows that teams configure themselves, ensuring ongoing master data governance around your standards. MDM Suite also includes a set of AI tools built for industrial data challenges. AutoDoc extracts structured data from engineering drawings, BOMs, and datasheets using OCR and contextual AI. SpareSeek surfaces equivalent, alternate, and obsolete parts across vendor catalogs. TransAI translates and localizes data into regional languages and technical standards for global teams. Auto-Enrichment automatically populates missing attributes across master data using AI models trained on industrial data. Verdantis connects natively with SAP S/4HANA, SAP ECC, Oracle EAM, IBM Maximo, and Microsoft Dynamics 365, and deploys on cloud, on-premise, or hybrid infrastructure. **Average Rating:** 4.5/5.0 **Total Reviews:** 10 #### Who Is the Company Behind Verdantis Master Data Management Suite? - **Seller:** [Verdantis](https://www.g2.com/sellers/verdantis) - **Year Founded:** 2004 - **HQ Location:** Princeton, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=996d83e5e33ac8c581c0256642e988a0b4f31a67a599fa79db1b970e0240d99c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fverdantis-inc%2F&secure%5Burl_type%5D=linkedin_company_website) 76 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 70% Large, 40% Medium #### What Do G2 Reviewers Say About Verdantis Master Data Management Suite? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Verdantis, finding it fast and customizable for their data management needs. - Users value the **data accuracy** of Verdantis, enhancing operational efficiency and streamlining management across multiple domains. - Users praise the **unified data management** of Verdantis, enhancing efficiency and accuracy across multiple operational domains. - Users commend the **data quality** of Verdantis, which enhances efficiency and accuracy across inventory and operations. - Users love the **time-saving benefits** of Verdantis, enhancing efficiency and reducing delays across operations. ##### Cons - Users find the **difficult setup** frustrating, as there’s no off-the-shelf integration and it requires significant time investment. - Users find the **complex setup** of Verdantis Master Data Management Suite frustrating due to the lack of off-the-shelf integrations. - Users feel that the **data management issues** like time-consuming setups and required manual reviews hinder efficiency. - Users find the **initial setup frustrating** due to lack of ready-made integrations, complicating the process. #### What Are Recent G2 Reviews of Verdantis Master Data Management Suite? **["A Vital Partner for Global Procurement Data Governance and Catalog Harmonization"](https://www.g2.com/survey_responses/verdantis-master-data-management-suite-review-13326044)** **Rating:** 4.5/5.0 stars _— Debora F._ [Read full review](https://www.g2.com/survey_responses/verdantis-master-data-management-suite-review-13326044) **["Verdantis Brings Clarity and Governance to Complex SAP Master Data"](https://www.g2.com/survey_responses/verdantis-master-data-management-suite-review-13344051)** **Rating:** 4.5/5.0 stars _— Craig G._ [Read full review](https://www.g2.com/survey_responses/verdantis-master-data-management-suite-review-13344051) ### [DataBahn](https://www.g2.com/products/databahn/reviews) DataBahn.ai is redefining how enterprises manage the explosion of security and operational data in the AI era. Our AI-powered data pipeline and fabric platform helps organizations securely collect, enrich, orchestrate, and optimize enterprise data—including security, application, observability, and IoT/OT telemetry—for analytics, automation, and AI. With native support for over 500 integrations and built-in enrichment capabilities, DataBahn streamlines fragmented data workflows and reduces SIEM and infrastructure costs from day one. The platform requires no specialist training, enabling security and IT teams to extract insights in real time and adapt quickly to new demands. We've helped Fortune 500 and Global 2000 companies reduce data processing costs by over 50% and automate more than 80% of their data engineering workloads. Our founding team brings decades of experience in cybersecurity and infrastructure, having previously managed environments ingesting more than 12 petabytes of data per day. That deep domain expertise informs our bold, opinionated approach to solving one of the biggest pain points in enterprise infrastructure: how to unify and act on fragmented, fast-growing data streams. Purpose-built for scale, speed, and simplicity, DataBahn replaces patchwork stacks with a single intuitive solution that accelerates time to value and turns security data from a cost center into a strategic asset. **Average Rating:** 4.8/5.0 **Total Reviews:** 4 #### Who Is the Company Behind DataBahn? - **Seller:** [DataBahn](https://www.g2.com/sellers/databahn-2b28b768-4c25-4022-98bb-222bee851d98) - **HQ Location:** Dallas, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cd2a2dc61b7717433c96c366e875656cf585804ef891c3eeb207aa40fb099af8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatabahn-ai%2F&secure%5Burl_type%5D=linkedin_company_website) 51 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 50% Large, 25% Medium #### What Do G2 Reviewers Say About DataBahn? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **AI-driven automation and scalability** of DataBahn, enhancing data accessibility and decision-making efficiency. - Users value the **scalability** of DataBahn for enhancing data accessibility and decision-making through real-time integration. - Users value the **streamlining processes** of DataBahn, enhancing data accessibility and decision-making through AI-driven automation. ##### Cons - Users face a **complex setup** at first, requiring time to learn the platform before it becomes user-friendly. - Users find that there’s a **difficult learning curve** initially, particularly when establishing complex data pipelines. #### What Are Recent G2 Reviews of DataBahn? **["Databahn Streamlines Data Integration and Cuts SIEM Costs with AI Optimization"](https://www.g2.com/survey_responses/databahn-review-12846740)** **Rating:** 4.5/5.0 stars _— Srirag G._ [Read full review](https://www.g2.com/survey_responses/databahn-review-12846740) **["Experienced, Professional Data & AI Team Delivering Solutions That Work"](https://www.g2.com/survey_responses/databahn-review-12846547)** **Rating:** 5.0/5.0 stars _— Parrish G._ [Read full review](https://www.g2.com/survey_responses/databahn-review-12846547) ### [Promethium](https://www.g2.com/products/promethium/reviews) 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 #### Who Is the Company Behind Promethium? - **Seller:** [Promethium](https://www.g2.com/sellers/promethium) - **Year Founded:** 2018 - **HQ Location:** Menlo Park, US - **Twitter:** @PromethiumI 366 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=10ca4ac1e72623a6a9801b68b27304b1579c7c5aec13c7baf21571d72a701f18&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpm61data%2F&secure%5Burl_type%5D=linkedin_company_website) 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? **["Promethium"](https://www.g2.com/survey_responses/promethium-review-8335269)** **Rating:** 4.0/5.0 stars _— Tulika ._ [Read full review](https://www.g2.com/survey_responses/promethium-review-8335269) **["Great SaaS service to leverage digital transformation"](https://www.g2.com/survey_responses/promethium-review-8843317)** **Rating:** 4.0/5.0 stars _— Yahveh D._ [Read full review](https://www.g2.com/survey_responses/promethium-review-8843317) ### [Rayven](https://www.g2.com/products/rayven/reviews) What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top. It is the platform for organisations that need to act on operational data in real-time, deploy AI that actually works in production + build software that fits the way their business operates - without replacing existing systems or waiting 18 months for results. The Problem Rayven Solves Most organisations already have the systems and data they need. The challenge is fragmentation. ERP systems, SCADA platforms, IoT devices, databases, cloud tools, and files all generate valuable data - but it sits in silos, impossible to act on in real-time. The result: manual reporting, disconnected workflows, and AI projects that fail before reaching production. Industry research shows 95% of AI projects never ship - most because the underlying data layer is not clean, connected, or ready. Rayven builds that foundation first, then activates it. The Rayven Platform Rayven operates across five unified layers, delivered as a single managed environment: - Integration: More than 600 pre-built connectors pull data from IT, OT, IoT, files, APIs, databases, and data streams - bidirectionally, in real-time. Connects industrial protocols (OPC UA, Modbus, MQTT, BACnet) alongside cloud platforms, business systems, and proprietary tools. - Data: All connected data lands in a single managed platform - structured, governed + AI-ready. Real-time processing, ETL pipelines, data lakes, and AI model training handled in one place. - Execution: Automation rules, predictive models + agentic AI run directly on live operational data. Rules-based logic, machine learning, and goal-seeking autonomous agents all operate in one execution environment. - Presentation: Custom apps, dashboards, portals, conversational interfaces, and mobile applications deployed from the same platform - built for specific workflows, not generic reporting. - Security, Governance + Hosting: Role-based access control, data lineage, audit trails, AES-256 encryption, data residency controls, and enterprise-grade infrastructure - included as standard. AI Capabilities Rayven includes ten native AI capabilities built directly into the platform: 1. Custom AI agents (goal-seeking, action-taking) 2. Predictive analytics and machine learning 3. Conversational analytics 4. Real-time and continuous model training 5. AI-led workflow automation 6. Multimodal processing (documents, video, images, audio) 7. Anomaly and risk detection 8. Forecasting and optimisation 9. Vision and edge AI inference 10. Generative operational summaries MCP server support enables direct connectivity for AI models including Claude, GPT, and others. What Gets Built Rayven customers build and deploy: - Custom operational apps and field applications. - AI agents that monitor conditions, detect anomalies + take corrective action autonomously. - Predictive maintenance and performance models running on live plant data. - Real-time dashboards and executive reporting tools. - Workflow automations spanning IT and OT systems. - Customer and partner portals. - Data pipelines and integration layers. - White-label software products delivered under partner brands. Key Differentiators vs. Point solutions (Zapier, MuleSoft, Power BI, DataRobot): point solutions do one thing well but force teams to stitch together five separate tools to cover integration, data, AI, presentation, and governance. Rayven replaces the stack. vs. Traditional enterprise platforms (SAP, Oracle, Palantir): enterprise platforms take 12-18 months and seven figures to implement. Rayven deploys in two to 12 weeks at fixed scope and fixed price. vs. Low-code app builders (Mendix, OutSystems): app builders handle the presentation layer but do not solve the underlying data and integration problem. Rayven covers the full stack. Technology Compatibility Rayven is fully technology-agnostic and works alongside existing systems: - Cloud platforms: Microsoft Azure, Google Cloud + AWS - Business systems: SAP, Salesforce, Oracle, and Microsoft 365 - OT platforms: Siemens, Rockwell, Schneider Electric, and Ignition - Industrial protocols: OPC UA, Modbus, MQTT, BACnet, and EtherNet/IP - IoT devices: any device with a data output - Custom and proprietary systems via API, webhook, or direct connector Nothing needs to be replaced. Every existing investment is preserved. Who Uses Rayven Rayven serves businesses from growth-stage to large enterprise across 24+ industries globally - manufacturing, mining, construction, infrastructure, logistics, utilities, financial services, healthcare, agriculture, government, and more. Customers across Australia, Europe, North America, South America, and Africa. Named customers include Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack, and AngloGold Ashanti. Delivery Options - DIY: Full platform access. Internal teams build and deploy independently. - Done-For-You: Australia-based delivery team. Fixed scope, fixed price, two to 12 weeks from brief to go-live. - Hybrid: Guided delivery first, with the customer's team taking increasing ownership over time. By the Numbers - More than 600 pre-built connectors. - Ten native AI capabilities. - More than 240 deployments live globally. - Rated 5/5 across more than 140 independent reviews. - Deploys 66% faster than traditional development. - Two to 12 weeks to first working solution. - Rayven exists to close the gap: 95% of AI projects never reach production (industry average). **Average Rating:** 4.9/5.0 **Total Reviews:** 29 #### Who Is the Company Behind Rayven? - **Seller:** [Rayven](https://www.g2.com/sellers/rayven) - **Year Founded:** 2016 - **HQ Location:** Sydney, AU - **Twitter:** @RayvenIOT 56 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1d006407e153419f0571c4dc74bc360e0abc0d6d0be9334a3fff870a267b0972&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frayveniot%2F&secure%5Burl_type%5D=linkedin_company_website) 33 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Retail - **Company Size:** 69% Medium, 52% Small #### What Do G2 Reviewers Say About Rayven? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** of Rayven, allowing seamless integration and workflow creation without coding skills. - Users value Rayven for its **real-time data integration** and seamless unification of various tools into one efficient system. - Users value Rayven's **automation capabilities** , enabling seamless integration and real-time data unification for improved performance tracking. - Users value the **customization** capabilities of Rayven, enabling tailored solutions to meet specific healthcare needs seamlessly. - Users value the **robust data management** of Rayven, enabling real-time processing and efficient automation across diverse systems. ##### Cons - Users report a **steep initial learning curve** due to complex setups and the need for technical knowledge. - Users find the **difficult learning** curve challenging due to overwhelming initial setup and complex feature configurations. - Users find the **learning difficulty** challenging due to the overwhelming initial setup and complex configuration processes. - Users find the **complex setup** of Rayven challenging, necessitating extensive planning for effective use and integration. - Users find the **setup complexity** challenging, often needing extra support for advanced integrations and configurations. #### What Are Recent G2 Reviews of Rayven? **["Seamless Automation and Predictive Maintenance with Rayven"](https://www.g2.com/survey_responses/rayven-review-12211094)** **Rating:** 5.0/5.0 stars _— Keith N._ [Read full review](https://www.g2.com/survey_responses/rayven-review-12211094) **["Rayven's Low-Code Platform is the Fastest Way to Build and Scale Intelligent Apps"](https://www.g2.com/survey_responses/rayven-review-11780301)** **Rating:** 5.0/5.0 stars _— John M._ [Read full review](https://www.g2.com/survey_responses/rayven-review-11780301) ### [Fuse](https://www.g2.com/products/data-punks-fuse/reviews) Fuse by Data Punks is an AI-powered data integration and quality platform that helps organizations transform fragmented, unreliable data into trusted, business-ready information. Fuse automatically ingests data from multiple sources including APIs, files, feeds, enterprise systems, and manual inputs. It applies AI-powered data stewardship to validate, enrich, standardize, and synchronize data across ERP, PIM, MDM, WMS, eCommerce platforms, marketplaces, and other business channels. Designed for companies managing complex product, customer, supplier, and operational data, Fuse reduces manual data processing, eliminates inconsistencies, and creates governed golden records that remain accurate across every system and channel. With automated data quality workflows, intelligent schema mapping, traceability, and human-in-the-loop exception management, Fuse enables business and IT teams to spend less time fixing data issues and more time creating value from reliable information. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 #### Who Is the Company Behind Fuse? - **Seller:** [Data Punks](https://www.g2.com/sellers/data-punks) - **HQ Location:** N/A - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 100% Small #### What Are Recent G2 Reviews of Fuse? **["Fuse, a new generation of Data Steward"](https://www.g2.com/survey_responses/fuse-review-13103763)** **Rating:** 4.0/5.0 stars _— Verified User in Food Production_ [Read full review](https://www.g2.com/survey_responses/fuse-review-13103763) ### [Hammerspace](https://www.g2.com/products/hammerspace/reviews) Hammerspace is the high-performance data platform built to simplify and optimize AI infrastructure at scale. It makes all your data immediately accessible – anywhere across on-premises and cloud environments – without copying or migrating data into new silos. By integrating with existing storage, networking, and applications, Hammerspace creates a unified, high-speed data backbone for AI, enabling organizations to accelerate every stage of the AI pipeline while eliminating data silos. What are the most important features of Hammerspace? ~Global Namespace: Unifies fragmented file and object data into a single global namespace that spans sites, clouds and storage systems. ~Parallel File System Architecture: Deliver the performance and scale for AI and HPC workloads without a proprietary client. ~Data Orchestration: Automate the flow of data and bring data to the compute that needs it no matter where it is located. ~Data-in-Place Assimilation: Make millions of files visible and accessible instantly - without complex data migrations. Don’t migrate - assimilate! ~Tier 0 Storage: Use server-local NVMe as a tier of high-performance shared storage What benefits or ROI should users look for when evaluating Hammerspace? ~AI/HPC Performance and Scale: Hammerspace delivers performance for AI and HPC with a parallel file system architecture ~Eliminate Data Silos: Unify fragmented unstructured data into a global namespace AI-Ready Data: Turn fragmented, unstructured data into AI-Ready data with an AI Data Platform. ~Hybrid-Cloud Agility: Make hybrid-cloud and multi-cloud computing and storage a reality with a global file system and policy-based data orchestration. ~Improved Productivity: Eliminate data copy sprawl, and stop manually copying data between disparate storage systems. Spend more time building, and less time managing data. **Average Rating:** 4.5/5.0 **Total Reviews:** 3 #### Who Is the Company Behind Hammerspace? - **Seller:** [Hammerspace](https://www.g2.com/sellers/hammerspace) - **Year Founded:** 2018 - **HQ Location:** Redwood City, US - **Twitter:** @Hammerspace\_Inc 731 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4b311f378ca0703699dab8da72daa12bc53427d4040f65796d9b4a7cdff23cf3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhammerspace%2F&secure%5Burl_type%5D=linkedin_company_website) 231 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 33% Large, 33% Medium #### What Are Recent G2 Reviews of Hammerspace? **["Great software for unstructured data"](https://www.g2.com/survey_responses/hammerspace-review-5270872)** **Rating:** 5.0/5.0 stars _— Shubham R._ [Read full review](https://www.g2.com/survey_responses/hammerspace-review-5270872) **["Useful software for unstructured Data"](https://www.g2.com/survey_responses/hammerspace-review-6545090)** **Rating:** 5.0/5.0 stars _— GYAN PRAKASH S._ [Read full review](https://www.g2.com/survey_responses/hammerspace-review-6545090) #### What Are G2 Users Discussing About Hammerspace? - [What is Hammerspace used for?](https://www.g2.com/discussions/what-is-hammerspace-used-for) ### [Megarray](https://www.g2.com/products/megarray/reviews) Megarray is designed to provide operating capabilities to manage all the social media, SEO, content marketing, and video marketing through a single platform. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 #### Who Is the Company Behind Megarray? - **Seller:** [Megarray](https://www.g2.com/sellers/megarray) - **Year Founded:** 2015 - **HQ Location:** Jasola, IN - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=19f8d9b26f4829eba08c1cfd006754ee15f8cf815f777cc3fc6a040f17bef027&secure%5Burl%5D=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmegarray-india&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 50% Medium, 50% Small #### What Are Recent G2 Reviews of Megarray? **["Megarray is designed to meets customer requirements by managing their social media marketing needs."](https://www.g2.com/survey_responses/megarray-review-4336434)** **Rating:** 5.0/5.0 stars _— Atkinson P._ [Read full review](https://www.g2.com/survey_responses/megarray-review-4336434) **["A powerful tool for every business"](https://www.g2.com/survey_responses/megarray-review-2893482)** **Rating:** 5.0/5.0 stars _— Robert L._ [Read full review](https://www.g2.com/survey_responses/megarray-review-2893482) #### What Are G2 Users Discussing About Megarray? - [What is Megarray used for?](https://www.g2.com/discussions/what-is-megarray-used-for) ### [3X Data Engineering Accelerators](https://www.g2.com/products/3x-data-engineering-accelerators/reviews) 3X Data Engineering provides AI-powered data engineering accelerators that help enterprises modernize legacy data platforms, migrate workloads, understand undocumented systems, and build modern data platforms faster. Its accelerator suite covers code conversion, reverse engineering, Microsoft Fabric migration, metadata intelligence, natural language data exploration, forward engineering, and synthetic data generation. #### Who Is the Company Behind 3X Data Engineering Accelerators? - **Seller:** [3X Data Engineering](https://www.g2.com/sellers/3x-data-engineering) - **Year Founded:** 2023 - **HQ Location:** Irvine, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=caba56663b20ccc62303f04dc96726606b7e277d0c84871f345712592a4fc67c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3x-data-engineering&secure%5Burl_type%5D=linkedin_company_website) 12 employees on LinkedIn® - ‹ Prev ‹ Prev - 1 - [2](/categories/data-management-software?order=g2_score&page=2#product-list) - [3](/categories/data-management-software?order=g2_score&page=3#product-list) - [4](/categories/data-management-software?order=g2_score&page=4#product-list) - [5](/categories/data-management-software?order=g2_score&page=5#product-list) - [Next › Next ›](/categories/data-management-software?order=g2_score&page=2#product-list) Spotlight Categories [Help Desk Software](https://www.g2.com/categories/help-desk) [Accounts Receivable Software](https://www.g2.com/categories/accounts-receivable) [Session Replay Software](https://www.g2.com/categories/session-replay) [Partner Relationship Management (PRM) Software](https://www.g2.com/categories/partner-relationship-management-prm) [CRM Software](https://www.g2.com/categories/crm) Similar Categories - [Infrastructure as a Service (IaaS)](/categories/infrastructure-as-a-service-iaas) - [Active Metadata Management](/categories/active-metadata-management) - [Address Verification](/categories/address-verification) - [AIOps Platforms](/categories/aiops-platforms) - [Application Server](/categories/application-server) - [Blockchain](/categories/blockchain) - [Cloud File Storage](/categories/cloud-file-storage) - [Database Software](/categories/database-software) - [Data Center Infrastructure Management (DCIM)](/categories/data-center-infrastructure-management-dcim) - [Data Center Networking](/categories/data-center-networking) - [Data Exchange Platforms](/categories/data-exchange-platforms) - [Data Fabric](/categories/data-fabric) - [Data Integration Tools](/categories/data-integration-tools) - [Data Mapping](/categories/data-mapping) - [DataOps Platforms](/categories/dataops-platforms) [Browse Data Management Software Themes](/categories/data-management-software/themes) ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi") SJ Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi) Updated May 14, 2025 Data management software moves, manages, and provides access to data across diverse public clouds and on-premises and hybrid environments. Data management as a practice involves using multiple data tools that provide an efficient way to manage an organization’s data. Typically, companies use this software to connect, access, and transform data and applications across various sources within an organization while maintaining the quality and security of the data. Businesses also leverage additional tools like data cataloging and master data management (MDM), enabling them to categorize, classify, and centralize their master data. IT administrators, development, and data teams mainly use data management software. Organizations typically use this software to integrate, access, and modify data and applications from a range of internal sources, while ensuring data quality and security. Companies may also employ supplementary tools such as data cataloging and master data management (MDM) to categorize, classify, and consolidate their master data. To qualify for inclusion in the Data Management category, a product must: - Provide a 360° view of data about key business entities, like customer, supplier, partner, etc., from multiple internal and external data source systems - Support cloud API and application integration - Provide pre-built connectors supporting any data type or pattern - Allow users to streamline, govern, and manage integrations through a dashboard - Provide wizards for data replication and data synchronization - Discover data quality issues and ensure quality and governance by profiling, cleansing, and monitoring the datasets - Support de-duplication using rules to eliminate incorrect data from entering the system - Automate and accelerate integration and data management with artificial intelligence (AI) and machine learning (ML) recommendations - Identify sensitive data quickly and protect it to comply with regulations and data security policies - Offer collaboration features around data sets, including categorizing, commenting, and sharing - Give intelligent recommendations based on ML for quicker access to relevant data Show More