Atlan vs. Trino Comparison


Atlan	Trino	+	+
Learn More Update Features	Learn More Update Features	Add To Compare	Add To Compare


		Related Products SCIKIQ 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. 14 Ratings Visit Website DataHub DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors. Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support. 10 Ratings Visit Website AnalyticsCreator AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack. At its core is the AnalyticsCreator Governed Control Model, which keeps business meaning, data structures, transformation rules, dependencies and technical implementation connected in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design. Generated assets can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns. Changes made in the model can be propagated across dependent project assets, while lineage, documentation and impact analysis remain connected to the underlying design. This helps teams reduce repetitive engineering work, standardise delivery and understand the effect of change before regenerating affected assets. AnalyticsCreator generates native Microsoft technology rather than requiring a proprietary runtime. Organisations retain ownership of the resulting implementation and can integrate generated assets into existing Git, Azure DevOps and CI/CD processes. Design Intelligence extends this governed project context into AI-assisted data engineering by giving authorised AI tools and agents structured access to metadata, lineage, dependencies and design rules. Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery, SAP-to-Microsoft analytics architectures and repeatable data product engineering. 46 Ratings Visit Website Semarchy xDM Use Semarchy unified data platform to experience xDM. Discover, govern, enrich, enlighten and manage data. You can easily transform data into insights with xDM and rapidly deliver data-rich applications with automated master data management. Its business-centric interfaces provide for rapid creation and adoption of data-rich applications, while automation rapidly generates applications to your specific requirements. Use the agile platform to quickly expand or evolve data applications. 64 Ratings Visit Website Okyline Okyline is an Executable Data Design (EDD) platform for declarative data validation contracts and measurable operational data quality. Instead of maintaining disconnected specifications, validators, tests, and quality dashboards, Okyline uses a single executable contract as the operational source of truth for validation and flow quality monitoring. The same readable contract drives multi-format validation, deterministic execution, quality measurement, data quality gate, and historical quality analytics across APIs, events, files, LLM structured outputs, and enterprise data flows. Community Edition provides the open specification, a free Java validation runtime, a public Claude AI assistant for contract generation, and a free online studio for executable JSON validation contracts and JSON Schema transpilation. Enterprise Edition supports direct validation of JSONL, XML, CSV, FIXED, and EDI flows, data quality gate, and operational quality dashboards, all without databases 2 Ratings Visit Website Plauti For Salesforce and Microsoft Dynamics 365 CE teams who want to run reports, automation and AI only on data they can trust, Plauti is the native data-quality platform that diagnoses, cleans and makes data actionable without it ever leaving the CRM. Unlike bolt-on tools that export your data or native features that stop at detection, Plauti gives configurable, governed control across Salesforce and Dynamics — so the AI, analytics, and revenue engine on top can finally trust the data underneath. 123 Ratings Visit Website D&B Connect Realize the true potential of your first-party data. D&B Connect is a customizable, self-service master data management solution built to scale. Eliminate data silos across the organization and bring all your data together using the D&B Connect family of products. Benchmark, cleanse, and enrich your data using our database of hundreds of millions of records. The result is an interconnected, single source of truth that empowers your teams to make more confident business decisions. Drive growth and reduce risk with data you can trust. With a clean, complete data foundation, your sales and marketing teams can align territories with a full view of account relationships. Reduce internal conflict and confusion over incomplete or bad data. Strengthen segmentation and targeting. Increase personalization and the quality/quantity of marketing-sourced leads. Improve accuracy of reporting and ROI analysis. 189 Ratings Visit Website Denodo Denodo offers an AI Data Layer that helps organizations deliver live, unified, and governed data for trustworthy AI, analytics, and self-service initiatives. The platform uses logical data management to connect distributed data across hybrid, multi-cloud, on-premises, SaaS, and third-party environments without requiring data movement or duplication. Denodo helps businesses integrate data silos, enable self-service access, enforce governance, deliver real-time insights, and enrich data with business context. It is designed to support agentic AI by giving AI agents accurate, up-to-date, and governed enterprise data for better decisions and actions. The platform includes capabilities such as zero-copy data access, unified semantics, centralized compliance, natural language search, data marketplaces, and optimized query performance. 388 Ratings Visit Website Code-Cube.io Code-Cube.io is the full-stack data collection observability platform that protects your dataLayer, tags and conversion data. It detects tracking issues instantly and provides real-time alerts to prevent data loss and performance drops. The platform eliminates the need for manual QA by continuously auditing tracking implementations across websites and applications. Users gain full visibility into how tags and events behave across both client-side and server-side environments. Code-Cube.io ensures that marketing data remains accurate, enabling better decision-making, preventing wasted ad spend and maximizing campaign performance. 7 Ratings Visit Website DataBuck DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world. 6 Ratings Visit Website
About The modern data workspace. Make all your data assets from data tables to BI reports, instantly discoverable. Our powerful search algorithms combined with easy browsing experience, make finding the right asset, a breeze. Atlan auto-generates data quality profiles which make detecting bad data, dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, we’ve got you covered. Atlan takes the pain away from governing and managing your data ecosystem! Atlan’s bots parse through SQL query history to auto construct data lineage and auto-detect PII data, allowing you to create dynamic access policies & best in class governance. Even non-technical users can directly query across multiple data lakes, warehouses & DBs using our excel-like query builder. Native integrations with tools like Tableau and Jupyter makes data collaboration come alive.	About Trino is a query engine that runs at ludicrous speed. Fast-distributed SQL query engine for big data analytics that helps you explore your data universe. Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low-latency analytics. The largest organizations in the world use Trino to query exabyte-scale data lakes and massive data warehouses alike. Supports diverse use cases, ad-hoc analytics at interactive speeds, massive multi-hour batch queries, and high-volume apps that perform sub-second queries. Trino is an ANSI SQL-compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset, and many others. You can natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. Access data from multiple systems within a single query.
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	Platforms Supported Windows 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
Audience Companies searching for a solution to manage and improve their operations	Audience Professional users in search of a query engine solution for their data analytics operations
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Supported	Pricing Free Open source Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Supported Live Online Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Atlan Founded: 2018 India atlan.com	Company Information Trino trino.io
Alternatives DataHub	Alternatives Denodo Denodo Technologies
SCIKIQ	Apache DataFusion Apache Software Foundation
Immuta	Apache Drill The Apache Software Foundation
Collate	Apache Pinot Apache Corporation
Ataccama ONE Ataccama View All	Apache Kylin Apache Software Foundation View All
Categories Agentic Data Management Supported Big Data Supported Data Collaboration Supported Data Contract Supported Data Discovery Supported Data Fabric Supported Data Governance Supported Data Lineage Supported Data Management Supported Data Quality Supported ETL Supported Master Data Management Supported Metadata Management Supported PIM Supported	Categories Big Data Supported Database Supported OLAP Databases Supported Query Engines Supported
Big Data Features Collaboration Supported Data Blends Not Supported Data Cleansing Not Supported Data Mining Not Supported Data Visualization Not Supported Data Warehousing Not Supported High Volume Processing Supported No-Code Sandbox Not Supported Predictive Analytics Not Supported Templates Not Supported Show More Features Data Discovery Features Contextual Search Supported Data Classification Supported Data Matching Supported False Positives Reduction Not Supported Self Service Data Preparation Supported Sensitive Data Identification Supported Visual Analytics Not Supported Data Governance Features Access Control Supported Data Discovery Supported Data Mapping Supported Data Profiling Supported Deletion Management Not Supported Email Management Not Supported Policy Management Supported Process Management Not Supported Roles Management Supported Storage Management Not Supported Data Management Features Customer Data Not Supported Data Analysis Not Supported Data Capture Not Supported Data Integration Not Supported Data Migration Not Supported Data Quality Control Supported Data Security Not Supported Information Governance Supported Master Data Management Supported Match & Merge Not Supported Data Quality Features Address Validation Not Supported Data Deduplication Not Supported Data Discovery Supported Data Profililng Supported Master Data Management Supported Match & Merge Not Supported Metadata Management Supported ETL Features Data Analysis Not Supported Data Filtering Not Supported Data Quality Control Supported Job Scheduling Supported Match & Merge Not Supported Metadata Management Supported Non-Relational Transformations Not Supported Version Control Supported Master Data Management Features Data Governance Supported Data Masking Supported Data Source Integrations Supported Hierarchy Management Not Supported Match & Merge Not Supported Metadata Management Not Supported Multi-Domain Not Supported Process Management Not Supported Relationship Mapping Not Supported Visualization Not Supported PIM Features Content Syndication Not Supported Data Modeling Not Supported Data Quality Control Supported Digital Asset Management Not Supported Documentation Management Supported Master Record Management Not Supported Version Control Supported
Integrations Amazon S3 Not Supported Amazon Web Services (AWS) Not Supported Apache Phoenix Not Supported Apigene Supported Archon Data Store Not Supported Azure Marketplace Not Supported Compass Not Supported DataHub Not Supported DbVisualizer Not Supported Google Data Studio Supported GrowthBook Not Supported Microsoft Power BI Not Supported NoSQL Not Supported SDF Not Supported SQLAI.ai Not Supported SelectDB Not Supported StarRocks Not Supported Superset Not Supported Unity Catalog Not Supported Velotix Not Supported Show More Integrations View All 8 Integrations	Integrations Amazon S3 Supported Amazon Web Services (AWS) Supported Apache Phoenix Supported Apigene Not Supported Archon Data Store Supported Azure Marketplace Supported Compass Supported DataHub Supported DbVisualizer Supported Google Data Studio Not Supported GrowthBook Supported Microsoft Power BI Supported NoSQL Supported SDF Supported SQLAI.ai Supported SelectDB Supported StarRocks Supported Superset Supported Unity Catalog Supported Velotix Supported Show More Integrations View All 52 Integrations
Claim Atlan and update features and information Claim Atlan and update features and information	Claim Trino and update features and information Claim Trino and update features and information