About
Gearset is the complete, enterprise-ready Salesforce DevOps platform, enabling teams to implement best practices across the entire DevOps lifecycle. With powerful solutions for metadata and CPQ deployments, CI/CD, testing, code scanning, sandbox seeding, backups, archiving, observability, and Org Intelligence — including the Gearset Agent — Gearset gives teams complete visibility, control, and confidence in every release.
More than 3,000 enterprises, including McKesson, IBM and Zurich, trust Gearset to deliver securely at scale. Combining advanced governance, built‑in audit trails, SOX/ISO/HIPAA support, parallel pipelines, integrated security scans, and compliance with ISO 27001, SOC 2, GDPR, CCPA/CPRA, and HIPAA, Gearset provides enterprise‑grade controls, rapid onboarding, and a user‑friendly interface — all in one platform.
Gearset delivers enterprise‑grade power without the overhead, which is why leading global organizations in finance, healthcare, and technology choose us.
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About
SCIKIQ is an AI-native Data & Intelligence Platform designed to help enterprises make their data trusted, governed, connected, and ready for AI in weeks rather than years. Recognized by Forrester, NASSCOM League of 10, YourStory Tech30, Inc42, and DataIQ, SCIKIQ supports enterprises across the USA, India, UK, and UAE.
SCIKIQ brings together Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products, and AI Agents within one unified platform.
Unlike traditional data platforms that often require extensive replatforming or migration, SCIKIQ works with an enterprise’s existing technology ecosystem. Organizations can connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, data warehouses, and enterprise applications through 200+ pre-built connectors, without rip-and-replace.
Contextual Intelligence at the Core
SCIKIQ goes beyond connecting data by helping AI understand the business context behind it.
Its semantic intelligence layer brings together business terminology, KPI definitions, metadata, lineage, ownership, business rules, ontologies, and relationships to create a trusted context layer for enterprise analytics and AI.
Business users can ask questions in natural language, investigate KPIs, identify root causes, and generate insights without writing SQL. Data teams gain enterprise-grade capabilities for data integration, quality, governance, lineage, metadata, and control.
AI teams gain trusted, contextual enterprise data for building Generative AI applications, copilots, and intelligent AI agents.
Why Enterprises Choose SCIKIQ
AI-ready in 3–6 weeks | 200+ connectors | 99.9% availability | No-code | Multi-cloud | No vendor lock-in | No replatforming
SCIKIQ has production deployments across industries including manufacturing, retail, aviation, logistics, BFSI, healthcare, and other data-intensive enterprises.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Salesforce teams looking for a complete DevOps platform
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Audience
BFSI, Manufacturing, Logistics, Retail, Healthcare and others
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$200 per user, per month
Free Version
Not Supported
Free Trial
Supported
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PricingYearly License
Contract Pricing
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationGearset
Founded: 2015
United Kingdom
gearset.com
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Company InformationSCIKIQ
Founded: 2023
India
scikiq.com
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Alternatives |
Alternatives |
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CategoriesWith Gearset, automated testing becomes an integral, reliable part of your Salesforce DevOps process. Create custom, scheduled unit-test jobs, set desired code-coverage thresholds, and gain full visibility into test outcomes across your orgs. Integrate UI testing seamlessly — after deployment, trigger your existing tools such as ACCELQ, Eggplant or Provar, and consolidate results in Gearset for streamlined feedback. Detailed failure reporting, stack-traces for Apex errors, and historical test-run data provide the insight you need to catch regressions before they impact production.  Deploy with confidence: ensure every release meets your quality gates and avoid last-minute surprises with in-org automated tests that run daily or on demand. Gearset’s Code Reviews brings enterprise-grade static code and configuration analysis into your Salesforce DevOps workflow. Scan everything that matters – from Apex and Lightning Web Components to Flows, Aura, Visualforce and metadata – all under one roof. Catch and block issues early with built-in quality and security gates. Use one of the predefined rule-sets (aligned to OWASP and Well-Architected frameworks) or define your own. Embed code analysis right into pull requests and your CI/CD pipeline – making checks automatic rather than an after-thought. Drive consistency and continuous improvement: configure team-wide standards, track historical trends, measure technical debt and up-skill your developers with actionable insights. Reduce risk by finding bad patterns before they become a problem in production – and enforce real governance around your codebase.  Gearset makes continuous delivery for Salesforce effortless, reliable, and transparent. Automatically move changes through your release pipeline — from development to staging to production — with full visibility, audit trails, and rollback support. Gearset’s CI/CD engine validates every deployment, runs Apex tests, and enforces quality gates to keep releases stable. Integrate seamlessly with Git, issue trackers, and approval workflows, while maintaining complete control over your branching strategy and promotion rules. With Gearset, you can deliver features faster, reduce deployment risk, and standardize release management — empowering teams to release Salesforce changes safely and continuously. Gearset’s CI features give you a seamless way to build, test and deploy changes in your Salesforce orgs — without having to manually script or orchestrate jobs. Set up CI jobs that automatically run on commit from your version control system or at scheduled intervals. Gearset will compare metadata, resolve dependencies, apply static-code analysis, run Apex tests, and deploy or validate changes — all in one platform. With the Pipelines layer, you gain full visibility across your CI/CD workflow: track pull requests, enforce branching strategy, automatically sync orgs, and monitor deployment status. Whether you’re promoting changes from one sandbox to the next, gating production deployments, or integrating with your Git and issue-tracking tools, Gearset’s continuous integration support helps you accelerate delivery while maintaining quality and traceability. Gearset gives you enterprise-grade governance and compliance controls for your Salesforce metadata and data workflows. Track changes with full audit trails, enforce role-based access, and integrate security scans across your CI/CD pipelines. Gearset’s platform supports ISO 27001 certification, GDPR, HIPAA and CCPA/CPRA compliance—making it suitable for regulated industries. With built-in quality gates and policy enforcement, your teams can deploy faster without sacrificing visibility or control. You’ll benefit from consistent governance across sandboxes, QA orgs and production — with logging, rollback capabilities and automated change-tracking all in one place. Pivot from unmanaged manual changes to a governed process: Gearset helps you embed data and metadata governance into every release cycle, reduce risk, support audits and maintain compliance in agile DevOps workflows. Gearset empowers Salesforce teams with a unified platform that spans the full DevOps lifecycle — from planning, building and validating, through to releasing, operating and observing. With complete visibility into orgs, built-in CI/CD pipelines, automated testing and quality gates, and production metadata/data backup & observability, your team can deliver faster, with less risk. Gearset brings together collaboration across admins and developers, integrates with version control and issue-tracking systems, and gives you the tools to shift left for quality and look right for performance-monitoring. Whether you’re synchronising multiple sandboxes, enforcing quality gates, rolling back changes, or catching production flow/Apex errors proactively — Gearset helps you move beyond “just deployments” to a mature, traceable, governed DevOps process. With Gearset’s enterprise-grade backup and restore solution, you’re prepared when the unexpected happens. Whether it’s user error, integration failures, or system outages, Gearset protects both your Salesforce metadata and data — so you can recover fast and reliably. Automated daily (or even hourly) backups keep your recovery point objective (RPO) low, while intuitive restore workflows minimise your recovery time objective (RTO).  Flexible restoration options let you recover everything from a single field to entire objects — and all with full audit trails, encryption in transit and at rest, and off-platform storage for maximum resilience and compliance. Embed disaster recovery into your DevOps lifecycle: integrate backups into your release workflows, monitor for anomalies, and ensure business continuity with confidence. Gearset gives you complete visibility and control over your Salesforce metadata — from comparison and versioning to deployment and rollback. With powerful diff tools, change tracking, and CI/CD integration, Gearset makes managing complex org configurations simple and reliable. Compare orgs or branches to see exactly what’s changed, validate deployments before they go live, and schedule releases across teams and environments. Whether you’re handling frequent small updates or coordinating large-scale releases, Gearset’s metadata management features — including branching strategies, bundles, and rollback options — ensure accuracy, consistency, and auditability across every environment. Bring structure and confidence to Salesforce change management, and make metadata governance a seamless part of your DevOps workflow. Gearset gives you full visibility into your Salesforce org’s health — capturing Flow and Apex errors, monitoring org limits, and surfacing issues before they impact users.  With a single dashboard, you can track error trends, identify the most-problematic Flows or Apex classes, and view how many users were impacted. Set up real-time alerts via Slack or Microsoft Teams, build custom rules (e.g., “If Flow X fails more than 10 times in 5 minutes”), and automatically link errors to tickets in Jira or Azure DevOps for triage. Monitor platform limits (API calls, storage, email, etc.) in one place — keeping you ahead of bottlenecks and potential system outages. By shifting from reactive monitoring to proactive observability, Gearset empowers your team to catch problems early, reduce downtime and continuously improve your Salesforce platform stability. Gearset helps you orchestrate releases with precision and confidence — providing a unified platform for metadata comparison, deployment packaging, scheduling, and full audit-trail visibility. With support for Git workflows, CI/CD pipelines, and team collaboration, Gearset turns complex multi-org Salesforce releases into predictable, repeatable events. Create draft deployments with shared filters, validate packages before they go live, schedule deployments across time zones, and delegate permissions for different roles in your team. Whether you’re bundling features into release waves or pushing frequent incremental changes, Gearset’s branching strategy support (including “Releases” and the new “Bundles” model) gives you the flexibility you need — and the control your executives and auditors demand. Gearset delivers rapid, resilient backup and restore capabilities for your SaaS environments, safeguarding both data and metadata to ensure continuity even when failure strikes. Automate daily full backups and more frequent high-cadence backups for critical objects — keeping recovery-point and recovery-time objectives tight. Designed for compliance-mindful businesses, Gearset stores backups off-platform in secure AWS data centres across US, EU, CA and AUS, encrypted in transit and at rest, with role-based access and audit trails built in. With flexible restore workflows—from a single field to entire objects — plus metadata backup and change visualization, Gearset embeds backup into your SaaS DevOps pipeline. Stay release-ready, streamline disaster recovery, and maintain governance without sacrificing agility. Gearset integrates seamlessly with your preferred UI testing tools — such as ACCELQ, Provar, or Eggplant — to automate end-to-end testing for Salesforce. Trigger UI test suites automatically as part of your CI/CD pipeline or after every deployment, and consolidate results directly in Gearset for complete visibility. By embedding UI testing into your release process, teams can validate user flows, reduce manual effort, and catch issues before they reach production — ensuring smooth, reliable Salesforce experiences. Gearset automates Salesforce unit testing so your team can ship with confidence. Schedule or trigger Apex test runs automatically across orgs, track pass/fail results, and set code-coverage thresholds to maintain quality standards. With real-time feedback, historical trend tracking, and detailed failure insights, Gearset turns unit testing into a proactive quality-assurance step in every deployment — helping teams prevent regressions and maintain org stability. |
CategoriesSCIKIQ is an AI-native Agentic Data Management platform that transforms enterprise data into governed, reusable and AI-ready Data Products. At its core is the SCIKIQ Data Product Factory and Data Marketplace, built to operationalize Data-as-a-Product across the enterprise. The Data Product Factory enables teams and AI Agents to discover, create, govern, enrich and publish Data Products using trusted enterprise data, business context, semantics, quality and lineage. SCIKIQ Data Marketplace provides an internal and external marketplace to discover, share, consume and monetize Data Products, datasets, APIs, KPIs, analytics and AI-ready assets. Key capabilities include Agentic Data Management, Data Products, Data Product Factory, Data Marketplace, Data-as-a-Product, Data Mesh, Self-Service Data, Data Catalog, Data Governance, Data Quality, Data Lineage, Data Semantics, APIs and AI Agents. From raw enterprise data to governed Data Products—built for Analytics, Generative AI and Recognized among the Top 34 AI-Augmented platforms globally by Forrester and ranked among India’s Top 10 DeepTech companies in AI & Analytics by NASSCOM, SCIKIQ is an AI-native Big Data and enterprise data platform built for the AI era. SCIKIQ connects and unifies data across SAP, databases, data warehouses, data lakes, cloud platforms, enterprise applications, and APIs without requiring organizations to replace or migrate their existing data stack. It creates a trusted, governed and AI-ready data foundation for Big Data, analytics, Business Intelligence, and enterprise AI. Key capabilities include Big Data integration, ETL/ELT, data pipelines, data transformation, data lakehouse, data preparation, data quality, metadata management, data catalog, data governance, data lineage, semantic intelligence, real-time analytics, and AI-powered analytics. With support for cloud, hybrid, and on-premise environments, SCIKIQ helps enterprises move faster to Generative AI and Agentic AI. Recognized among the Top 34 AI-Augmented Business Intelligence platforms globally by Forrester, SCIKIQ is an AI-native Business Intelligence platform built for the next generation of enterprise decision-making. SCIKIQ brings Business Intelligence, enterprise analytics, Conversational AI, dashboards, data integration, governance, semantic intelligence, and Agentic AI together on a unified platform. It enables organizations to transform enterprise data into trusted, contextual, and AI-ready intelligence—without replacing their existing technology stack. Built for enterprise-wide BI, SCIKIQ connects data across SAP, databases, data warehouses, cloud platforms, Power BI, Tableau, and business applications to create a connected intelligence layer. Key capabilities include AI-powered Business Intelligence, Conversational Analytics, Enterprise 360, self-service BI, KPI analytics, semantic intelligence, data visualization, real-time analytics, data governance, data lineage & AI agents SCIKIQ is an AI-native Data Catalog platform built to help enterprises discover, understand, govern and activate data for Analytics and AI. SCIKIQ combines Data Catalog, Data Discovery, Metadata Management, Data Lineage, Data Quality, Business Glossary and Data Semantics in one intelligent platform. Automatically catalog data across SAP, databases, data warehouses, data lakes, cloud platforms, APIs and enterprise applications. Search and discover datasets, tables, columns, metadata, business terms, KPIs, owners, relationships and lineage from a unified enterprise data catalog. Key capabilities include Automated Data Cataloging, Metadata Discovery, Metadata Management, Business Glossary, Data Classification, Data Profiling, Data Search, Data Lineage, Data Governance, Data Quality and Semantic Layer. SCIKIQ connects technical metadata with business meaning and context, creating a trusted catalog for Data Management, Business Intelligence, Generative AI and Agentic AI. SCIKIQ is an AI-native Data Discovery platform that helps enterprises find, understand, classify and trust data across complex data environments. SCIKIQ combines Data Discovery, Data Catalog, Metadata Management, Data Search, Data Lineage, Data Profiling, Data Classification and Data Semantics in one unified platform. Automatically discover data across SAP, databases, data warehouses, data lakes, cloud platforms, APIs and enterprise applications. Search and explore datasets, tables, columns, metadata, business terms, KPIs and relationships through intelligent enterprise data discovery. SCIKIQ combines automated metadata discovery with best-in-class Data Lineage, Data Quality and a world-leading Data Semantics practice to provide business context behind enterprise data. Built for Data Discovery, Data Governance, Data Management, Data Cataloging, Business Intelligence, Analytics, Generative AI and Agentic AI. Recognized among the Top 34 AI-Augmented platforms globally by Forrester and India’s Top 10 DeepTech companies in AI & Analytics by NASSCOM, SCIKIQ is an AI-native Enterprise Data Fabric built ground-up for AI. SCIKIQ creates a unified, intelligent data layer across SAP, databases, data warehouses, data lakes, cloud, APIs and enterprise applications—without migration, replatforming or replacing the existing data stack. SCIKIQ Data Fabric combines Data Integration, ETL/ELT, Data Pipelines, Data Quality, Data Governance, Data Catalog, Metadata Management, Data Lineage, Master Data Management, Data Observability and Data Semantics. Its world-leading Data Semantics practice connects technical data with business context, KPIs, relationships and meaning—creating an AI-ready enterprise data foundation. Built for Data Fabric, Data Management, Business Intelligence, Analytics, Generative AI and Agentic AI. SCIKIQ is ranked alongside leading Data Governance platforms globally, with best-in-class Data Lineage, Data Quality and a world-leading Data Semantics practice. SCIKIQ delivers enterprise Data Governance, automated Data Lineage, Data Quality, Data Catalog, Metadata Management, Business Glossary, Data Discovery, Data Classification, Data Profiling, Data Observability, PII Management, Policy Management, Data Compliance and AI Governance in one platform. Track end-to-end Data Lineage across SAP, databases, data warehouses, data lakes, cloud, ETL pipelines, BI dashboards and enterprise applications. Improve Data Quality through automated profiling, validation, monitoring and quality rules. SCIKIQ Data Semantics connects metadata, business terms, KPIs, relationships and enterprise context to create trusted, AI-ready data. Built for Data Governance, Data Management, Regulatory Compliance, Business Intelligence, Generative AI and Agentic AI. SCIKIQ Data Hub is AI-native Data Management Platform built ground-up for AI and designed to be the fastest path from enterprise data to Enterprise AI. Recognized among the Top 34 AI-Augmented platforms globally by Forrester and India’s Top 10 DeepTech companies in AI & Analytics by NASSCOM, SCIKIQ connects, governs and activates data across the enterprise. Integrate data from SAP, databases, data warehouses, data lakes, cloud platforms, APIs and enterprise applications without replatforming or disrupting your existing data stack. Built-in Data Governance, Data Quality, Data Catalog, Metadata Management and Data Lineage create trusted data by design. ETL/ELT, Data Integration, Data Pipelines, Data Transformation, Data Preparation and Semantic Intelligence turn fragmented data into a connected, AI-ready foundation. Built for Analytics, Business Intelligence, Generative AI and Agentic AI, SCIKIQ helps enterprises move from siloed data to trusted intelligence in weeks not years. SCIKIQ delivers best-in-class Data Quality for enterprises that need trusted, accurate and AI-ready data. Built ground-up for AI, SCIKIQ combines Data Quality Management, Data Profiling, Data Cleansing, Data Validation, Data Monitoring and Data Observability across complex enterprise data environments. SCIKIQ provides automated Data Quality Rules, Data Validation, Data Standardization, Data Matching, Deduplication, Data Enrichment, Data Completeness, Accuracy Checks, Consistency Checks, Anomaly Detection and Data Quality Monitoring. Continuously measure and improve data quality across SAP, databases, data warehouses, data lakes, cloud platforms, ETL pipelines and enterprise applications. Integrated Data Lineage, Data Governance, Metadata Management and Data Semantics help identify where quality issues originate and understand their business impact. Trusted Data. Better Analytics. Reliable AI. SCIKIQ is an AI-native ETL and ELT platform for fast, scalable enterprise Data Integration and Data Transformation. Build, automate and manage ETL pipelines across cloud, on-premise and hybrid data environments with no-code and AI-assisted automation. SCIKIQ combines ETL, ELT, Data Pipelines, Data Integration, Data Ingestion, Data Extraction, Data Transformation, Data Loading, Data Mapping, Data Migration, Data Replication, Change Data Capture (CDC), Batch Processing and Real-Time Data Integration. Connect SAP, ERP, CRM, databases, data warehouses, data lakes, SaaS applications, APIs, files and streaming data through 200+ pre-built connectors. Built-in Data Quality, Data Governance, Data Lineage, Metadata Management and Data Observability help create trusted pipelines and AI-ready data. From traditional ETL to modern ELT, real-time pipelines and AI-powered integration, SCIKIQ provides one platform to move, transform and activate enterprise data. SCIKIQ is an AI-native Data Integration platform built to connect, move and transform enterprise data across any system, cloud or environment. From ETL/ELT and real-time data pipelines to SAP Integration and API Integration, SCIKIQ provides a unified platform for modern enterprise data integration. Connect SAP S/4HANA, SAP ECC, databases, data warehouses, data lakes, SaaS applications, APIs, files and streaming sources using 200+ pre-built connectors. Build no-code data pipelines for batch, micro-batch, real-time streaming and Change Data Capture (CDC) across cloud, on-premise and hybrid environments. SCIKIQ also includes an API Hub to create, manage, govern and reuse enterprise APIs, helping organizations connect applications, data and AI services through a common integration layer. With No-code platform & built-in Data Quality, Data Governance, Data Lineage, Observability and AI-assisted automation, SCIKIQ goes beyond traditional ETL software to deliver trusted, AI-ready data. SCIKIQ is an AI-native Master Data Management (MDM) platform built to create trusted, unified and AI-ready master data across the enterprise. SCIKIQ combines Master Data Management, MDM, Data Quality, Data Governance, Data Integration and Data Semantics in one platform. Create a trusted Golden Record and Single Source of Truth across customers, products, suppliers, vendors, employees and other business entities. SCIKIQ supports Customer 360, Product 360, Supplier 360, Multi-Domain MDM, Reference Data Management and Hierarchy Management. Key capabilities include Entity Resolution, Data Matching, Deduplication, Data Cleansing, Data Standardization, Data Validation, Data Enrichment, Data Profiling, Data Stewardship, Metadata Management and Data Lineage. Connect master data across SAP, ERP, CRM, databases, data warehouses, cloud and enterprise applications to power Analytics, Business Intelligence, Generative AI and Agentic AI. |
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Data Governance Features
Access Control
Supported
Data Discovery
Supported
Data Mapping
Supported
Data Profiling
Supported
Deletion Management
Supported
Email Management
Supported
Policy Management
Supported
Process Management
Supported
Roles Management
Supported
Storage Management
Supported
Automated Testing Features
Hierarchical View
Supported
Move & Copy
Supported
Parameterized Testing
Not Supported
Requirements-Based Testing
Not Supported
Security Testing
Not Supported
Supports Parallel Execution
Not Supported
Test Script Reviews
Supported
Unicode Compliance
Not Supported
Continuous Delivery Features
Application Lifecycle Management
Supported
Application Release Automation
Supported
Build Automation
Supported
Build Log
Supported
Change Management
Supported
Configuration Management
Supported
Continuous Deployment
Supported
Continuous Integration
Supported
Feature Toggles / Feature Flags
Supported
Quality Management
Supported
Testing Management
Supported
Continuous Integration Features
Build Log
Supported
Change Management
Supported
Configuration Management
Supported
Continuous Delivery
Supported
Continuous Deployment
Supported
Debugging
Supported
Permission Management
Supported
Quality Assurance Management
Not Supported
Testing Management
Supported
DevOps Features
Approval Workflow
Supported
Dashboard
Supported
KPIs
Not Supported
Policy Management
Not Supported
Portfolio Management
Not Supported
Prioritization
Not Supported
Release Management
Supported
Timeline Management
Not Supported
Troubleshooting Reports
Supported
Disaster Recovery Features
Administration Policies
Supported
Bare-Metal Recovery
Not Supported
Encryption
Supported
Failover Testing
Not Supported
Flexible Data Capture
Not Supported
Multi-Platform Support
Not Supported
Multiple Data Type Support
Not Supported
Offline Storage
Not Supported
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Data Governance Features
Access Control
Supported
Data Discovery
Supported
Data Mapping
Supported
Data Profiling
Supported
Deletion Management
Supported
Email Management
Supported
Policy Management
Supported
Process Management
Supported
Roles Management
Supported
Storage Management
Supported
Big Data Features
Collaboration
Supported
Data Blends
Supported
Data Cleansing
Supported
Data Mining
Supported
Data Visualization
Supported
Data Warehousing
Supported
High Volume Processing
Supported
No-Code Sandbox
Supported
Predictive Analytics
Supported
Templates
Supported
Business Intelligence Features
Ad Hoc Reports
Supported
Benchmarking
Supported
Budgeting & Forecasting
Supported
Dashboard
Supported
Data Analysis
Supported
Key Performance Indicators
Supported
Natural Language Generation (NLG)
Supported
Performance Metrics
Supported
Predictive Analytics
Supported
Profitability Analysis
Supported
Strategic Planning
Supported
Trend / Problem Indicators
Supported
Visual Analytics
Supported
Data Discovery Features
Contextual Search
Supported
Data Classification
Supported
Data Matching
Supported
False Positives Reduction
Supported
Self Service Data Preparation
Supported
Sensitive Data Identification
Supported
Visual Analytics
Supported
Data Fabric Features
Data Access Management
Supported
Data Analytics
Supported
Data Collaboration
Supported
Data Lineage Tools
Supported
Data Networking / Connecting
Supported
Metadata Functionality
Supported
No Data Redundancy
Supported
Persistent Data Management
Supported
Data Management Features
Customer Data
Supported
Data Analysis
Supported
Data Capture
Supported
Data Integration
Supported
Data Migration
Supported
Data Quality Control
Supported
Data Security
Supported
Information Governance
Supported
Master Data Management
Supported
Match & Merge
Supported
Data Quality Features
Address Validation
Supported
Data Deduplication
Supported
Data Discovery
Supported
Data Profililng
Supported
Master Data Management
Supported
Match & Merge
Supported
Metadata Management
Supported
ETL Features
Data Analysis
Supported
Data Filtering
Supported
Data Quality Control
Supported
Job Scheduling
Supported
Match & Merge
Supported
Metadata Management
Supported
Non-Relational Transformations
Supported
Version Control
Supported
Integration Features
Dashboard
Supported
ETL - Extract / Transform / Load
Supported
Metadata Management
Supported
Multiple Data Sources
Supported
Web Services
Supported
Master Data Management Features
Data Governance
Supported
Data Masking
Supported
Data Source Integrations
Supported
Hierarchy Management
Supported
Match & Merge
Supported
Metadata Management
Supported
Multi-Domain
Supported
Process Management
Supported
Relationship Mapping
Supported
Visualization
Supported
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Integrations
Salesforce
Supported
Amazon S3
Not Supported
Apache Kafka
Not Supported
Asana
Supported
Bitbucket
Supported
Dropbox
Not Supported
Git
Supported
GitLab
Supported
Hadoop
Not Supported
IBM Db2
Not Supported
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Integrations
Salesforce
Supported
Amazon S3
Supported
Apache Kafka
Supported
Asana
Not Supported
Bitbucket
Not Supported
Dropbox
Supported
Git
Not Supported
GitLab
Not Supported
Hadoop
Supported
IBM Db2
Supported
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