# Best Data Management Software - Page 2 ## How Many Data Management Software Products Does G2 Track? **Total Products under this Category:** 34 ### Category Stats (Aug 2026) - **Average Rating:** 4.59/5 (↓0.06 vs Jul 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** Salesforce Data 360 (formerly Data Cloud) (+0.05%) - Among all products in this category, Salesforce Data 360 (formerly Data Cloud) recorded the largest rating increase compared to last month _Last updated: August 07, 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 - 34+ 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, Salesforce Data 360 (formerly 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=salesforce-data-360-formerly-data-cloud&focus%5B%5D=exportly) **Sponsored** ### Apollo.io Apollo.io is an AI-powered go-to-market (GTM) platform that helps revenue teams find, engage, and manage B2B buyers across the entire sales cycle. Apollo.io is the company behind the industry’s first fully agentic GTM platform, transforming how revenue teams execute. Going beyond automation, Apollo’s intelligent agents actively drive results across the entire sales funnel – from prospecting to deal management – all in one place. Trusted by millions of users and hundreds of thousands of companies – including Anthropic, Autodesk, and Docusign – Apollo is making world-class go-to-market simple, intelligent, and accessible for all. Apollo serves sales development representatives, account executives, sales leaders, revenue operations, and marketing teams at B2B organizations of various sizes. Teams use Apollo to build and maintain target account lists, orchestrate outbound and inbound motions, manage opportunities, and understand which activities lead to qualified pipeline and closed revenue. Key capabilities include: Data and targeting: Access to a large B2B database with company and contact details, including firmographic, technographic, and buyer signal data, so users can define ideal customer profiles and create precise segments for outreach. Prospecting and enrichment: Tools to search, filter, and save prospect lists, plus enrichment workflows that keep contact and account records up to date in Apollo and connected systems such as CRM. Sales engagement: Multi-step, multi-channel sequences for email, calls, and tasks that standardize how reps follow up with prospects, with controls for timing, throttling, and deliverability. Agentic and AI-assisted workflows: Intelligent agents and AI features that help with account research, lead scoring, message generation, and next-step recommendations so reps can prioritize and personalize at scale. Deal and activity management: Basic CRM-style functionality for tracking opportunities, stages, activities, and notes, giving teams a single view of pipeline health and sales performance. By combining data, engagement, and deal execution in one platform, Apollo is designed to reduce the number of disconnected tools in a typical GTM stack and provide a consistent workflow for building pipeline and managing deals. This helps organizations improve data quality, increase seller productivity, and run more structured, measurable go-to-market programs. [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=2026-08-10T06%3A08%3A14Z&secure%5Bdisplayable_resource_id%5D=628&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=19743&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=19743&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%3FhsCtaTracking%3D68239631-5c8e-43ad-baa1-22317f65ba1f%257Cb34ca0ed-7a96-4b91-bc48-9bd3d5f5de9d%26page%3D2&secure%5Btoken%5D=9bdeb60927b1a73ff5a7d66a2f494d860b79358e494ee63760ca2b3e8b73ab18&secure%5Burl%5D=https%3A%2F%2Fwww.apollo.io%2Fdemo%3Futm_source%3Dg2%26utm_medium%3Dcpc%26utm_campaign%3DG2Clicks%26utm_content%3Dtopic%26utm_term%3Doutboundcalltracking&secure%5Burl_type%5D=custom_url) ### [BrightCat Data](https://www.g2.com/products/brightcat-data/reviews) BrightCat Data is the unified property intelligence layer for the Canadian real estate market. We track 5.8 million residential properties and 297,000 commercial properties across Canada weekly, using persistent matchkeys to preserve full property lifecycle history across every listing, price change, and transaction. Six integrated datasets — Listings, Sold, Rentals, Commercial, Core, and PreMovers — delivered through Snowflake Marketplace Secure Data Share and MCP connector for AI agents. Used by enterprise teams in insurance, banking, telecom, and direct marketing for risk detection, collateral monitoring, pre-mover customer acquisition, and trigger-based campaigns. 12 years of continuous weekly tracking. The only Canadian provider combining pre-mover signals, lifecycle tracking, renovation detection, and a repeat-sale home price index in a single integrated dataset. #### Who Is the Company Behind BrightCat Data? - **Seller:** [BrightCat Data](https://www.g2.com/sellers/brightcat-data) - **HQ Location:** Toronto, CA - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4bd1684e71815fc0e6ef44e5f203a1c524b7698344ae2b1084339a0efbcd738f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbrightcat-data-analytics-inc%2F&secure%5Burl_type%5D=linkedin_company_website) 2 employees on LinkedIn® ### [Capalyze](https://www.g2.com/products/capalyze/reviews) Capalyze is the only product on the market that leverages natural language to drive both web data extraction and spreadsheet-style analysis. It seamlessly integrates data extraction and analysis into automated workflows, empowering users with end-to-end capabilities in data integration, analysis, and visualization — enabling truly data-driven decision making. #### Who Is the Company Behind Capalyze? - **Seller:** [Dream Number](https://www.g2.com/sellers/dream-number) - **HQ Location:** N/A - **Twitter:** @univerHQ 137 Twitter followers - **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® ### [Cinchy](https://www.g2.com/products/cinchy-cinchy/reviews) With the Cinchy Data Collaboration platform liberate data from applications and control and connect as data products in a network, eliminating the need for future data integration. Build a more agile data ecosystem that makes change simple, rapidly accelerates business outcomes, and fosters collaborative intelligence across your enterprise. With Cinchy, cure the pains of integration to deliver projects at half the cost and time, improve data governance with universal data access controls, and provide data access to business users for self-serve reporting and analytics. **Average Rating:** 4.8/5.0 **Total Reviews:** 19 #### Who Is the Company Behind Cinchy? - **Seller:** [Cinchy](https://www.g2.com/sellers/cinchy) - **Year Founded:** 2017 - **HQ Location:** Toronto, ON - **Twitter:** @itscinchy 460 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f5c110a8249a990836a5e5230cfd25341512479c9adbe586c0788fe07fa7758f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F16200640%2F&secure%5Burl_type%5D=linkedin_company_website) 40 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Financial Services - **Company Size:** 53% Medium, 37% Large #### What Are Recent G2 Reviews of Cinchy? **["Wonderful experience working with Cinchy team"](https://www.g2.com/survey_responses/cinchy-review-8132727)** **Rating:** 5.0/5.0 stars _— Verified User in Financial Services_ [Read full review](https://www.g2.com/survey_responses/cinchy-review-8132727) **["Powerful tool - outstanding technology partner"](https://www.g2.com/survey_responses/cinchy-review-8004644)** **Rating:** 5.0/5.0 stars _— Peter F._ [Read full review](https://www.g2.com/survey_responses/cinchy-review-8004644) #### What Are G2 Users Discussing About Cinchy? - [What is Cinchy used for?](https://www.g2.com/discussions/what-is-cinchy-used-for) ### [Cohesity DataProtect delivered as a service](https://www.g2.com/products/cohesity-dataprotect-delivered-as-a-service/reviews) Cohesity DataProtect delivered as a service is an enterprise-class, fully managed cloud backup solution designed to protect critical data across SaaS applications, cloud-native services, and on-premises environments. By eliminating the need for on-premises infrastructure, it simplifies data protection through a unified platform that offers policy-based automation, global visibility, and rapid recovery capabilities. This service ensures data security with immutable backups, strong encryption, and strict access controls, providing organizations with a reliable and scalable solution to safeguard their data assets. Key Features and Functionality: - Comprehensive Protection: Safeguards a wide range of workloads, including SaaS applications, cloud-native services, and on-premises data sources, ensuring holistic data coverage. - Simplified Management: Offers a single, intuitive user interface for managing all backup and recovery tasks, reducing operational complexity and enhancing efficiency. - Cost Optimization: Utilizes advanced data reduction techniques and eliminates infrastructure maintenance costs, providing transparent and predictable pricing models. - Robust Security: Features immutable, tamper-resistant backups with strong encryption and strict privileged access controls to protect against cyber threats. - Intelligent Automation: Employs policy-based automation, flexible retention policies, and seamless cross-source search capabilities to streamline backup and recovery processes. Primary Value and Problem Solved: Cohesity DataProtect delivered as a service addresses the challenges of managing and protecting data across diverse environments by providing a unified, cloud-native solution that simplifies backup operations, enhances data security, and reduces costs. It enables organizations to focus on strategic initiatives by offloading the complexities of data protection, ensuring rapid recovery, and maintaining compliance with industry standards. #### Who Is the Company Behind Cohesity DataProtect delivered as a service? - **Seller:** [Cohesity](https://www.g2.com/sellers/cohesity) - **Year Founded:** 2013 - **HQ Location:** San Jose, CA - **Twitter:** @Cohesity 29,248 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4655033a51ae3c02dc46866515c00f3be32f756b5361a50f8057b6d6891a09be&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3750699%2F&secure%5Burl_type%5D=linkedin_company_website) 7,749 employees on LinkedIn® ### [Collate](https://www.g2.com/products/collate-collate/reviews) Collate has developed a data management platform that provides AI-driven automation for data discovery, observability, and governance, enabling businesses to improve productivity, reduce costs by consolidating tooling, and mitigate risks through automated compliance and governance standards #### Who Is the Company Behind Collate? - **Seller:** [Collate](https://www.g2.com/sellers/collate) - **HQ Location:** San Francisco, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=83bb740841af9a4588eabcd586f102112a8daf017cd63a86fac868e77c217843&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcollate-software%2F&secure%5Burl_type%5D=linkedin_company_website) 8 employees on LinkedIn® ### [DataOS](https://www.g2.com/products/dataos/reviews) DataOS is the data activation layer for AI, applications, and analytics. It sits on top of an organization’s existing data stack and unifies semantics, governance, quality, lineage, and access into a single, reusable operating capability, without requiring rip-and-replace. Built to serve not only human analysts but also AI agents and automated workflows, DataOS makes data consistent, trusted, and ready for action at machine speed. DataOS delivers AI-ready data through four core pillars: 1) Context Data becomes usable when meaning travels with it. DataOS aligns shared definitions for entities, metrics, dimensions, and relationships so dashboards, apps, and agents interpret information the same way. 2) Trust AI systems require runtime confidence. DataOS combines centralized policy decisions with distributed enforcement, declarative data quality checks, and end-to-end lineage for auditability and debugging. 3) Action Different consumers need different interfaces. DataOS provides a unified query layer and standardized access patterns such as SQL, APIs, and agent-ready interfaces, with guardrails like intent and result validation. 4) Productization DataOS treats reusable data products as the unit of scale. These bundle semantics, governance, quality signals, ownership, documentation, lifecycle management, and versioning, making data scale the way software does. #### Who Is the Company Behind DataOS? - **Seller:** [The Modern Data Company](https://www.g2.com/sellers/the-modern-data-company) - **Year Founded:** 2019 - **HQ Location:** Palo Alto, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=231bda618d68cc16cbebabcee8effdd8f40edb67474d212c8fee4e154e830f43&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fthemoderndatacompany%2F&secure%5Burl_type%5D=linkedin_company_website) 182 employees on LinkedIn® ### [dataX.ai](https://www.g2.com/products/datax-ai/reviews) dataX.ai is a trailblazing data science company specializing in automated solutions for B2B eCommerce product content. Our goal is to minimize manual effort in data processing and management, enhancing accuracy and enabling scalable operations. With more than a decade of experience crafting AI-powered solutions, we have become a trusted partner to eContent managers, as innovation meets precision in executing seamless data workflows. Headquartered in Plano, Texas, we have offices spread across India and Japan, empowering modern businesses to remain agile, competitive, and thrive in the digital era. **Average Rating:** 4.4/5.0 **Total Reviews:** 4 #### Who Is the Company Behind dataX.ai? - **Seller:** [CrowdANALYTIX](https://www.g2.com/sellers/crowdanalytix) - **Year Founded:** 2012 - **HQ Location:** Plano, US - **Twitter:** @data\_x\_ai 16 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=227d7fb84d9b41a674612b6c60238d72e87a9e10e6166e096bf3327b917ac755&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcrowdanalytix&secure%5Burl_type%5D=linkedin_company_website) 115 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 50% Small, 25% Large #### What Are Recent G2 Reviews of dataX.ai? **["Best Product for product data onboarding and enrichment process"](https://www.g2.com/survey_responses/datax-ai-review-5258362)** **Rating:** 5.0/5.0 stars _— Verified User in Computer & Network Security_ [Read full review](https://www.g2.com/survey_responses/datax-ai-review-5258362) **["A perfect data driven enhancing customer experience"](https://www.g2.com/survey_responses/datax-ai-review-7034441)** **Rating:** 4.5/5.0 stars _— Green R._ [Read full review](https://www.g2.com/survey_responses/datax-ai-review-7034441) #### What Are G2 Users Discussing About dataX.ai? - [What is dataX.ai used for?](https://www.g2.com/discussions/what-is-datax-ai-used-for) ### [dmaya](https://www.g2.com/products/dmaya/reviews) The AI design platform purpose-built for agencies, teams, and freelancers. Generate production-ready UI designs, iterate with clients, present work that wins. Every AI tool on the market today targets solo enthusiasts who want to build something on their own. They generate code, not designs. They skip the planning phase. They don't understand that in agencies and teams, design comes before development — and client sign-off comes before everything. You need to present concepts to stakeholders. You need to iterate on visual direction before anyone writes a line of code. You need a tool that respects the design process — not one that skips it entirely. dMaya is built for the way professional teams actually work. #### Who Is the Company Behind dmaya? - **Seller:** [dMaya](https://www.g2.com/sellers/dmaya) - **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® ### [Factr](https://www.g2.com/products/factr/reviews) Factr helps businesses, teams, and individuals find and share the information they need, and make better decisions. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 #### Who Is the Company Behind Factr? - **Seller:** [Factr](https://www.g2.com/sellers/factr) - **Year Founded:** 2013 - **HQ Location:** Brooklyn, US - **Twitter:** @Factr 247 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0e20a1899d6cc15be3c41a5d231b30c8e12c69000c8246e13efea994125c8014&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffactr%2F&secure%5Burl_type%5D=linkedin_company_website) 6 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 100% Small #### What Are Recent G2 Reviews of Factr? **["Review of Factr a new kind of social media for organizing and sharing your knowledge."](https://www.g2.com/survey_responses/factr-review-8339803)** **Rating:** 4.5/5.0 stars _— Jeetendra R._ [Read full review](https://www.g2.com/survey_responses/factr-review-8339803) ### [Finden](https://www.g2.com/products/finden/reviews) Finden is an AI workspace that unifies, automates and helps run your business — Connect all your data, across drives, devices, tools and applications — Organize files, enrich your data, chat with your data, and automatically find what matters in your Memory Bank. Finden enables businesses of all sizes to: - Improve productivity and operations: help you work with your data seamlessly, gain insights, reduce silo workflows and automate actions - Save time: less time sorting your data and more automation - Reduce costs: reduce number of SaaS tools and cloud storage. - Be more sustainable: manage inefficient use of data (more than 30% of data is redundant) - Remain secure: privacy is key - your data never used for any AI training. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 #### Who Is the Company Behind Finden? - **Seller:** [Finden](https://www.g2.com/sellers/finden) - **HQ Location:** Boca Raton, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b2926fa365c6193d4ba4308fb3c484632da487360e6ef5d901e7fa8f7c73ac8d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffinden4me%2F&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 150% Small #### What Do G2 Reviewers Say About Finden? _AI-generated summary from verified user reviews_ ##### Pros - Users find Finden to be **extremely user-friendly** , simplifying complex workflows and enhancing productivity across diverse platforms. - Users appreciate the **easy access** to multiple platforms and documents, significantly improving their organization and efficiency. - Users praise Finden for its **efficient organization and powerful AI integration** , streamlining client management across multiple platforms. - Users love the **search efficiency** of Finden, enabling instant access to diverse platforms and saving valuable time. - Users love the **speed of searching** within Finden, allowing quick access to vital information across platforms. ##### Cons - Users find the **integration issues** with project management tools, like the absence of ClickUp, frustrating. #### What Are Recent G2 Reviews of Finden? **["Best enterprise search tool and AI assistant"](https://www.g2.com/survey_responses/finden-review-11663360)** **Rating:** 5.0/5.0 stars _— Adel N._ [Read full review](https://www.g2.com/survey_responses/finden-review-11663360) **["A must-have for agencies managing multiple clients"](https://www.g2.com/survey_responses/finden-review-11682513)** **Rating:** 5.0/5.0 stars _— Holly B._ [Read full review](https://www.g2.com/survey_responses/finden-review-11682513) ### [Inflectiv](https://www.g2.com/products/inflectiv/reviews) Inflectiv is a software platform that enables users to convert unstructured information into structured datasets that can be queried by AI agents and applications. The product supports ingesting documents, research materials, operational knowledge, and selected real-world data sources, and transforms them into structured, machine-readable formats optimized for AI workflows. Inflectiv allows users to create datasets, manage access permissions, and expose these datasets to AI agents, automation workflows, and external applications through queries and integrations. The platform is designed to support use cases such as AI copilots, compliance automation, research assistants, and agent-based workflows. The product also includes functionality for dataset versioning, usage tracking, and monetization, allowing dataset creators to control access and earn from usage. Inflectiv integrates with existing AI infrastructure and agent frameworks, enabling structured data to be used across different environments without requiring custom data pipelines. Inflectiv is used by developers, AI teams, and organizations that need reliable, structured data as input for AI agents and automated systems. #### Who Is the Company Behind Inflectiv? - **Seller:** [Inflectiv](https://www.g2.com/sellers/inflectiv) - **HQ Location:** Dubai, AE - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f7b3072a4757f59fefee85a65f127c7353d94fb5e193f0e191c1c11fe4f098b0&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Finflectivai%2F&secure%5Burl_type%5D=linkedin_company_website) 12 employees on LinkedIn® ### [KGNN - Knowledge Graph Neural Network](https://www.g2.com/products/kgnn-knowledge-graph-neural-network/reviews) Equitus KGNN is an automated data unification platform in the knowledge graph and AI data infrastructure category. It is designed for enterprise organizations seeking to ingest, structure, and contextualize large volumes of structured and unstructured data without relying on traditional ETL processes. KGNN automates the transformation of disparate enterprise data into semantically enriched, AI-ready knowledge to support use cases such as analytics, business intelligence (BI), and generative AI (GenAI) deployment. Equitus KGNN uses a combination of natural language processing (NLP), machine learning (ML), and semantic technologies to dynamically build a self-constructing RDF knowledge graph. This semantic core enables organizations to extract entities, relationships, and contextual meaning from raw data—including documents, logs, and databases—and transform it into structured, vectorized formats optimized for advanced analytics and AI model consumption. Equitus KGNN is suited for: Enterprises operating across fragmented data systems. Organizations needing contextualized data for AI, BI, or compliance use cases. Teams looking to unify legacy and modern systems without redesigning infrastructure. Key Capabilities: Automated Data Ingestion: Handles structured and unstructured sources without manual pipelines. Semantic Auto-Mapping: Dynamically generates a schema-less RDF knowledge graph. Federated Integration: Enables bi-directional data exchange across legacy and modern platforms. Real-Time Vectorization: Prepares data for AI models, RAG/CAG pipelines, and vector search. Governance and Provenance: Maintains full data lineage, security, and compliance controls. Benefits: Reduce reliance on manual data engineering by 80%. Minimize latency with near real-time data processing. Improve AI accuracy and explainability through contextual enrichment. Ensure compatibility with secure, on-premise, or air-gapped environments. Minimum System Requirements: IBM Power10/11 40 Cores 512GB RAM 4TB SSD (usable) RedHat OpenShift 4.18 X86/GPU 24 Cores 256GB RAM Nvidia GPU with 24GB+ 4TB SSD (usable) RedHat OpenShift 4.18 Equitus KGNN is built for scalability, edge-readiness, and enterprise-grade deployment, enabling seamless data unification across the full lifecycle of AI and analytics initiatives. #### Who Is the Company Behind KGNN - Knowledge Graph Neural Network? - **Seller:** [Equitus](https://www.g2.com/sellers/equitus) - **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=9b3a23e66635da6985b22cc69c338468f986ac4e45de8306678cb59b6a906b4c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fequitus&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® ### [Knovari](https://www.g2.com/products/knovari/reviews) Nearly every consulting deliverable contains confidential client content. That one fact keeps most of a firm's intellectual property locked in project folders. Proposals get rebuilt from scratch. Knowledge bases stay thin. AI tools run only on the small slice of content that happens to be safe. The bottleneck is sanitisation. Cleaning a deck by hand takes hours, so it rarely happens. And when it does, it often fails: manually sanitised decks are routinely still re-identifiable from context. Knovari automates the job. Built by strategy consultants for the consulting use case, it scans PowerPoint deliverables, identifies confidential content using a proprietary sensitivity framework, and sanitises each deck in minutes rather than hours. The same process is sometimes called redaction, blinding, scrubbing or anonymisation. Knovari covers all of it. Two operating modes. Detection and flagging: Knovari scans a deck and produces a sensitivity report, with every flagged item categorised, scored and located, so your team decides what to change. Automated redaction: Knovari sanitises the deck itself, replacing confidential content with realistic anonymised alternatives so the storyline and structure survive. No black boxes, no gutted slides. Three things set it apart. Consulting-context detection: Knovari works on concepts, not keyword patterns. It knows the difference between a public company name and a confidential M&A target, and removes only client-tied elements, down to colour-coded shapes and harvey balls. Code-level cleansing: manual review misses what you cannot see, such as embedded chart data, workbook names and logo URLs hidden inside the file. Knovari cleans the underlying XML and is think-cell compatible. Auditable by design: every change is logged, highlighted and explained, so consultants get speed and risk and compliance teams get evidence. The payoff is far more reusable IP, proposals assembled from real prior work rather than memory, and a knowledge base that is safe to put behind AI search, generation and agents. Knovari is PowerPoint-native because that is what consulting firms actually produce. Word, Excel and PDF are on the roadmap. #### Who Is the Company Behind Knovari? - **Seller:** [Knovari](https://www.g2.com/sellers/knovari) - **HQ Location:** London, GB - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=59e0fad72039a29f57aea3c2ab65b877d0ac8d7b02544e9b2e81fb2b71e07d81&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fknovari&secure%5Burl_type%5D=linkedin_company_website) 2 employees on LinkedIn® ### [MyDataWork](https://www.g2.com/products/mydatawork/reviews) MyDataWork is a workspace for data analysts, analytics engineers, and BI developers who manage recurring work across multiple files, tools, and stakeholders. It brings together asset cataloging, data lineage visualization, use case tracking, business outcome measurement, and AI-powered analysis in one place built specifically for how analysts actually work. Most analytics teams operate without a central record of their work. Files live in folders. Context lives in people's heads. The value of data investment stays invisible until someone asks — and by then, reconstructing the answer takes longer than it should. MyDataWork fixes that at the individual analyst level and scales the benefit to managers, IT leaders, and the organization as a whole. Asset catalog and data lineage MyDataWork reads metadata from local files — Excel, SQL, Python, Alteryx, Tableau, Power BI, CSV — and cloud platforms including GitHub, dbt Cloud, Databricks, and Snowflake to build a live asset catalog automatically. No manual entry required. Data lineage is built from the same metadata, showing which files feed which reports and which pipelines support which dashboards. External dependencies — data sources referenced in files but not yet tracked — are surfaced with amber flagging so invisible risks become visible before they cause problems. Use case tracking and outcome measurement Analysts connect their assets to documented use cases that record what each deliverable is for, who depends on it, what the objective is, and how progress is measured against a baseline and target. Estimated and realized value is tracked across the portfolio. A statistical outlier detection layer flags reported values that look unusual relative to comparable work — helping analysts walk into stakeholder conversations with numbers they can defend. AI-powered analysis Six AI features help analysts go further: use case recommendations, reuse opportunity identification, automation candidate analysis, external marketplace data discovery, tool migration and modernization evaluation, and a context-aware workspace assistant available on every screen. Integrations and export MyDataWork integrates with Jira to push use case updates directly to tickets with one click. Portfolio summaries export as PowerPoint or PDF for leadership conversations and governance reviews — no app access required for stakeholders. Built for individual analysts and analytics teams of any size who want to organize their work, demonstrate its value, and hand off context without losing institutional knowledge. #### Who Is the Company Behind MyDataWork? - **Seller:** [MyDataWork](https://www.g2.com/sellers/mydatawork) - **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=97d813a6998a78310a11a13b4eba560fa4ad61c7c01d597de8b03f957ae053a1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmydatawork%2F&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® ### [Nabu](https://www.g2.com/products/nabu/reviews) Modak Nabu™ cloud data integration platform that hydrates and curates your lakehouse at petabyte scale, on your stack, on any cloud, end to end. #### Who Is the Company Behind Nabu? - **Seller:** [Modak Analytics](https://www.g2.com/sellers/modak-analytics) - **Year Founded:** 2010 - **HQ Location:** Deer Park, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=35e4916fda80de6250051ca2587cecfbdc86785c132452dc8d63963fe9cc7e3e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmodak&secure%5Burl_type%5D=linkedin_company_website) 409 employees on LinkedIn® - [‹ Prev‹ Prev](/categories/data-management-software?order=g2_score#product-list) - [1](/categories/data-management-software?order=g2_score#product-list) - 2 - [3](/categories/data-management-software?order=g2_score&page=3#product-list) - [Next ›Next ›](/categories/data-management-software?order=g2_score&page=3#product-list) Spotlight Categories [Customer Success Software](https://www.g2.com/categories/customer-success) [Contact Center Workforce Software](https://www.g2.com/categories/contact-center-workforce) [SAP Store Software](https://www.g2.com/categories/sap-store) [User Research Tools](https://www.g2.com/categories/user-research) [Data Observability Software](https://www.g2.com/categories/data-observability) 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