Astrato vs. Domo Comparison


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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 Hightouch Hightouch is the leading Composable CDP and AI Decisioning platform that empowers companies to activate their data warehouse to power personalized marketing and business operations. Trusted by leading organizations like PetSmart, Warner Music Group, Chime, Aritzia, and Whoop, Hightouch enables anyone to deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization. Hightouch’s Composable Customer Data Platform collects behavioral events, resolves identities into Customer 360 profiles, builds audiences, syncs data to over 200 destinations like ad platforms and CRMs, and analyzes the results of marketing campaigns— all from the cloud data warehouse. 520 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 Google Cloud SQL Fully managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems. New customers get $300 in free credits to spend on Cloud SQL. You won’t be charged until you upgrade. Reduce maintenance costs with fully managed MySQL, PostgreSQL and SQL Server databases. Ensure business continuity with reliable and secure services backed by 24/7 SRE team. Data encryption at rest and in transit. Private connectivity with Virtual Private Cloud and user-controlled network access with firewall protection. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA. 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FinOpsly resolves all of it, plus the seats in procurement and the compute in an untagged cloud account, to the same dimensions: owner, team, application, line of business, customer and tenant. An AI initiative's full cost becomes one figure, charged back through one hierarchy in one cycle. Workforce AI is the tools employees use: seats and per-user token draw across GitHub Copilot, Cursor, ChatGPT Enterprise and Microsoft 365 Copilot. Application AI is the AI your product ships: tokens, compute and data joined into cost-to-serve across OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex AI, SageMaker and Databricks. PLAN. Price a workload from its architecture before any resource exists, across model APIs, GPU capacity, data platform consumption and storage, with assumptions visible. Compare it across candidate models on your measured usage. EXPLAIN. Attribute spend to owner, team, application, line of business and business unit across 9+ hierarchy levels. Unified tagging reconciles providers that tag inconsistently, and AI-driven bulk labeling closes large key estates. Unattributed spend is reported in dollars. ACT. Budgets per project, team and API key, with daily burn-rate monitoring. Anomaly detection with root cause, routed to the owner. Waste detection using FinOpsly's own algorithms and ML models. Commitment planning across AWS, Azure and Google Cloud. Policy-driven parking of idle compute. PROVE. Chargeback across AI, cloud, data and SaaS in one cycle. Realized savings tracked into run-rate against a no-action baseline. Cost per call, cost per active user, and cost-to-serve per customer and tenant. proof: 100% attribution of AI spend; chargeback from 12.4 days to under one day across 9+ levels; 26% realized savings in AWS and 17%+ in Azure at a payments client. 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About Astrato Analytics is a warehouse-native business intelligence platform that allows organizations to build, embed, and share interactive dashboards and data applications directly on cloud data warehouses. It integrates with major platforms such as Snowflake, BigQuery, Databricks, ClickHouse, Supabase, Amazon Redshift, PostgreSQL, and Dremio. The platform uses a zero-copy architecture, enabling real-time data access without the need for data extraction or duplication. This approach ensures that dashboards and reports always reflect the most up-to-date information. Astrato connects through a live-query engine, allowing seamless interaction with source data. It eliminates the complexity of managing data pipelines or cached datasets. Security is enhanced by inheriting policies like row-level access and data masking directly from the warehouse. Overall, it simplifies analytics while maintaining strong governance and real-time insights.	About Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives. Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI. Domo works with cloud data platforms including Snowflake, BigQuery, and Databricks to turn governed data into AI agents, apps, workflows, dashboards, and analytics. Its data foundation, activation, and distribution layers help teams build and deliver intelligence where work happens, with governance, security, and access controls across data and AI.
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 Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Supported iPad Supported Android Supported Chromebook Supported
Audience Astrato is built for teams who have moved their data to a modern cloud warehouse — Snowflake, BigQuery, Databricks, ClickHouse, Supabase, Amazon Redshift, PostgreSQL, or Dremio — but are still running analytics on legacy BI tools that pre-date that shift. Primary users: Data and analytics teams modernizing off Tableau, Qlik, Power BI, or Domo who want to stop maintaining extracts, cubes, and refresh pipelines and run analytics directly on the warehouse. Product and engineering teams at SaaS companies embedding customer-facing analytics into their own applications, portals, or platforms — often replacing in-house dashboards they'd rather not keep building. Business users and domain experts (finance, operations, marketing, sales) who need to explore governed data, build reports, and submit updates back to the warehouse without waiting on the analyst queue. IT, security, and governance leaders who want analytics that inherit warehouse-level security (RLS, RBAC, SSO) instead of introducing a parallel permissions model. Best-fit organizations: SaaS and data businesses monetizing analytics as a product feature, or delivering client-facing reporting at scale. Mid-market and enterprise companies that have modernized their data stack and want BI that matches it. Agencies and data service providers building branded analytics experiences for their clients. Regulated industries (healthcare, financial services, public sector) that need data to stay in the warehouse for compliance reasons, backed by SOC 2 Type II, ISO 27001, HIPAA, and GDPR posture.	Audience Organizations in all industries use Domo for AI agents, apps, and workflows, as well as business intelligence, operational analytics, embedded analytics, data visualization, and executive reporting.
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos No images available	Screenshots and Videos View more images or videos
Pricing $12/month/user Free Version Not Supported Free Trial Supported	Pricing Domo uses a flexible credit-based pricing model designed to align costs with actual usage. Credits are consumed when you perform specific actions—such as storing data, updating tables, running workflows, or leveraging advanced capabilities like ML inference in the data pipeline. This transparent approach gives you predictable, scalable costs that grow with your business needs. Free Version Not Supported Free Trial 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 4.6 / 5 ease 4.6 / 5 features 4.4 / 5 design 4.5 / 5 support 4.1 / 5 Read all reviews
	Pros & Cons from Real Users Pros Domo is a software that is great to have because of its amazing implementation and configuration of the data. It is currently a software with many capabilities that help understand the data in an efficient way in the form of graphs and reports that are easy to read. There are many tools that are great to use in Domo, but the most relevant ones definitely are, firstly, is the reporting capabilities that the software has, it allows us to have constant insights on our data in real time, because these can be automated and delivered to our team at the right time without us needing to generate each report individually, the software takes care of this aspect which is something I enjoy a lot. It is possible to have the reports be customized and shown in different ways than the usual report and that aspect is helpful to make the reports more intuitive and make better presentations of these in order to reach more people to understand the data. Secondly, I like the fact that Domo prioritizes security over anything else, it has the option to limit access to those members who are not allowed to see different kinds of information and provides a sense of hierarchy that every business should have, it is easy to customize access and provide things like passwords to different data files that are stored in the software; additionally, the data is encrypted so we can use the software peacefully without feeling scared of losing anything or getting hacked and getting all our precious and vital information robbed, a business is just like a human and we can't treat the data lightly, we should be careful and choose a nice software that will care for it. Thirdly, because it updates in real time and we are constantly getting reports on it, Domo has the ability to send out notifications via email and devices to know when the data has changed, this allows us to pay more attention to the changes that happen inside our business and how the metrics are changing in a bad or good way, allowing us to respond to these changes very quickly and not miss out any important event that might be happening, these alerts are very customizable and can be set for every type of data or only set it up for specific data, which makes it even better as we are able to be aware of our own projects that we are working on and each member can be only aware of what they need to be aware of without any distractions or unimportant data to them crowding their notifications and dashboard, it is an useful tool that I find myself using a lot just to keep track of my own projects inside the business. Complete flexibility to analyse data in so many ways and formats. Accessibility to share tools and solutions across our business. Easy to build cards. Sumo cards are super useful to analyze large amounts of data, Upsert is a great feature and very helpful with SAP BW as a source system. Domo is extremely easy to use and has become an integral part of our day to day. It adds the ability to combine datasets from lots of different locations and datatypes into one seamless dataset that gives a holistic view. Domo takes all the power of traditional SQL based reporting and makes it so that anyone with decent Excel experience can quickly get into the weeds of their data. Magic ETL 2.0 is intuitive, powerful, and extremely fast. Card building is as easy as building a pivot table in Excel with near unlimited ability to customize. Cons In my opinion, Domo still has a long road to go before becoming an exceptional software. This is because I find that the graphical part of the software is not as developed as it needs to be and they should really include more options when it comes to the creation of graphs to include more analytical power and more organized data into the graphs. For me, Domo lacks in this area and the tools are not really optimized for the customization of the graphs, it is a bit limited and it does not feel like they are taking advantage of the possibilities that the software has, it is capable of doing so much more but as of right not they have not updated and improved the creation of the graphs, I would like to have total control over the data and display it in a way that is more advantageous and use different data to build different sets of graphs that work together in a comparative way, it is an essential need to have this kind of tool but Domo only offers limited tools that do not go very far than providing only the superficial aspects of a graphical software, it would be good to go in so much more depth and upgrade the graphs tools to provide a better experience for the users and ensure that the data is being analyzed the right way. Also, it takes a good bandwidth connection to be able to use the software, usually we do have a good bandwidth connection so it does not present as an issue to us, but I think that it would be really nice if it could be optimized to be able to be used in a not so good connection, that way if we happen to use Domo on the go and we don't have a good connection as in our workplace, we can still use and create graphs. Finding where to get started among all of the options! Disappointed that it cant handle incremental (Delta) loads. But now with UPSERT, it is no more a concern. We work very closely with several other organizations and transferring dashboards and datasets between organizations to avoid reinventing the wheel is extremely cumbersome and time-consuming. One feature that I have yet to find in Domo is the ability to see the underlying SQL being written based on the Magic ETL work that you are doing. I believe this would take it to another level and give people with less SQL experience a chance to learn what their drag and drop approach is really doing behind the scenes.
Training Documentation Supported Webinars Not Supported Live Online Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information Astrato Analytics Founded: 2023 United Kingdom www.astrato.io	Company Information Domo Founded: 2011 United States www.domo.com
Alternatives Mitzu Mitzu.io	Alternatives SCIKIQ
Compass Dagster Labs	Looker Google
ClarityQ ClarityQ Inc	Qrvey
nao	DomoAI
Draxlr View All	Databricks View All
Categories Business Intelligence Supported	Categories Agentic Data Management Supported AI Finance Supported Audience Intelligence Supported Big Data Supported Business Intelligence Supported Dashboard Supported Data Analysis Supported Data Engineering Supported Data Fabric Supported Data Governance Supported Data Management Supported Data Modeling Supported Data Preparation Supported Data Science Supported Data Visualization Supported Data Warehouse Supported Decision Intelligence Supported Digital Analytics Supported Embedded Analytics Supported ETL Supported iPaaS Supported Reporting Supported Statistical Analysis 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) Not Supported Performance Metrics Supported Predictive Analytics Supported Profitability Analysis Supported Strategic Planning Supported Trend / Problem Indicators Supported Visual Analytics Supported Show More Features Audience Intelligence Features AI / Machine Learning Supported Audience Segmentation Supported Competitive Intelligence Not Supported Content Tracking Not Supported Data Visualization Supported Data-Driven Insights Supported Filters / Search Supported Image Recognition Not Supported Sentiment Analysis Supported Social Listening Not Supported Social Media Analytics Not Supported Trend Tracking Not 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 Dashboard Features Annotations Supported Data Source Integrations Supported Functions / Calculations Supported Interactive Supported KPIs Supported OLAP Supported Private Dashboards Supported Public Dashboards Supported Scorecards Supported Themes Supported Visual Analytics Supported Widgets Supported Data Analysis Features Data Discovery Not Supported Data Visualization Supported High Volume Processing Not Supported Predictive Analytics Supported Regression Analysis Not Supported Sentiment Analysis Supported Statistical Modeling Supported Text Analytics Not 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 Preparation Features Collaboration Tools Supported Data Access Not Supported Data Blending Not Supported Data Cleansing Supported Data Governance Supported Data Mashup Not Supported Data Modeling Supported Data Transformation Supported Machine Learning Not Supported Visual User Interface Supported Data Science Features Access Control Not Supported Advanced Modeling Supported Audit Logs Not Supported Data Discovery Not Supported Data Ingestion Supported Data Preparation Supported Data Visualization Supported Model Deployment Not Supported Reports Supported Data Visualization Features Analytics Supported Content Management Not Supported Dashboard Creation Supported Filtered Views Supported OLAP Not Supported Relational Display Supported Simulation Models Not Supported Visual Discovery Supported Data Warehouse Features Ad hoc Query Supported Analytics Supported Data Integration Supported Data Migration Supported Data Quality Control Supported ETL - Extract / Transfer / Load Supported In-Memory Processing Not Supported Match & Merge Not Supported ETL Features Data Analysis Supported Data Filtering Supported Data Quality Control Not Supported Job Scheduling Not Supported Match & Merge Not Supported Metadata Management Not Supported Non-Relational Transformations Not Supported Version Control Not Supported Embedded Analytics Features Ad hoc Query Supported Application Development Supported Benchmarking Supported Dashboard Supported Interactive Reports Supported Mobile Reporting Supported Multi-User Collaboration Supported Self Service Analytics Supported Streaming Analytics Supported Visual Workflow Management Supported Reporting Features Customizable Dashboard Supported Data Source Connectors Supported Drag & Drop Supported Drill Down Supported Email Reports Not Supported Financial Reports Supported Forecasting Supported Marketing Reports Supported OLAP Not Supported Report Export Supported Sales Reports Supported Scheduled / Automated Reports Supported Statistical Analysis Features Analytics Supported Association Discovery Supported Compliance Tracking Supported File Management Not Supported File Storage Supported Forecasting Supported Multivariate Analysis Supported Regression Analysis Supported Statistical Process Control Not Supported Statistical Simulation Supported Survival Analysis Not Supported Time Series Supported Visualization Supported iPaaS Features AI / Machine Learning Supported Cloud Data Integration Supported Dashboard Supported Data Quality Control Supported Data Security Supported Drag & Drop Supported Embedded iPaaS Supported Integration Management Supported Pre-Built Connectors Supported White Label Not Supported Workflow Management Supported
Integrations Snowflake Supported Basecamp Not Supported Blotout Not Supported Captello Not Supported Contentsquare Not Supported Desktop.com Not Supported Dialpad Connect Not Supported Google Cloud BigQuery Supported InsideSales Playbooks Not Supported Integrate.io Not Supported Kleene Not Supported Lexer Not Supported Mailchimp Not Supported Motileo Not Supported Oracle CRM On Demand Not Supported Quickwork Not Supported Stackreaction Not Supported Sunbird DCIM Not Supported Zoom Rooms Not Supported involve.ai Not Supported Show More Integrations View All 3 Integrations	Integrations Snowflake Supported Basecamp Supported Blotout Supported Captello Supported Contentsquare Supported Desktop.com Supported Dialpad Connect Supported Google Cloud BigQuery Not Supported InsideSales Playbooks Supported Integrate.io Supported Kleene Supported Lexer Supported Mailchimp Supported Motileo Supported Oracle CRM On Demand Supported Quickwork Supported Stackreaction Supported Sunbird DCIM Supported Zoom Rooms Supported involve.ai Supported Show More Integrations View All 138 Integrations
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