Domo vs. esProc Comparison


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		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 QBench QBench is a cloud-based Laboratory Information Management System (LIMS) designed to help laboratories manage samples, workflows, data, inventory, reporting, quality processes, and client interactions in one platform. Labs use QBench to manage laboratory operations from order placement and sample processing through results and automated reporting. The platform is highly configurable, allowing laboratories to build workflows, define custom data fields, and automate processes around the way their lab already operates. QBench also helps laboratories reduce manual work by connecting instruments, software, and other systems through file parsers and a robust API. These integrations can automate data transfer between systems, reducing repetitive data entry and the risk of transcription errors. Labs can connect QBench to business intelligence tools, including Tableau, Power BI, Domo, and Looker, via REST API. Key QBench capabilities include: Sample and workflow management Configurable laboratory workflows and custom data fields Workflow automation Instrument and system integrations File parsing and API connectivity Inventory management Client portal access Automated reporting Analytics and operational insights Business intelligence integrations with Tableau, Power BI, Domo, and Looker via REST API Integrated Quality Management System (QMS) capabilities Unlike LIMS platforms that require extensive custom development to accommodate laboratory processes, QBench is designed to be configurable and adaptable as workflows change. Laboratories can modify processes, fields, and automations without relying heavily on custom code. QBench is cloud-based, giving laboratory teams secure access to their LIMS while bringing laboratory data, workflows, automation, quality management, and reporting together within a centralized platform. QBench also supports customers with a team that includes former bench scientists who understand laboratory workflows and can provide guidance throughout implementation and ongoing use. 153 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 Google Cloud BigQuery BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process. 2,027 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 TIMi The most efficient, sovereign & unified "on-premise" data platform available today. Think about the Azure data platform, but on steroids and 100% Sovereign. TIMi is an ethical solution: Zero Lock-In: We gain your trust through exceptional performance and service, not artificial vendor lock-in Fair price & No hidden fees & No price hikes TIMi is a leader in these fields: Data Preparation/ETL/BPA/BPM/ESB - automate the most complex tasks without code - Connect to everything: Sharepoint, SAP, Salesforce, Facebook, GAds, etc. BigData - 1 TIMi-server is faster than 267 Spark-servers - Process any volumetry at negligible infrastructure cost. Process billions of rows in a matter of seconds on a standard 2K€ server. - manage peta-byte Data Lakes AI/ML: We invented the 1st Auto-ML tool in 2007 TIMi is a horizontal solution used in any industry: Manufacturing, Telecoms, Banks, Supermarket chains, Defense, Gov. Also available in EU-hosted sovereign cloud. 68 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. 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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.	About esProc is a professional structured computing tool, which is ready to use, built-in with SPL language more natural and easier to use than python. The more complex data processing is, the more obvious the features of simple SPL syntax and clear steps are. You can observe the result for each action and controlled the calculation process at will according to the outcome. It is especially suitable to solve the problem of order-related calculation, such as the typical problems in desktop data analysis: same period ratio, ratio compared to last period, relative interval data retrieving, ranking in groups, TopN in groups. esProc can directly process the data files such as CSV, Excel, JSON, and XML.
Platforms Supported Windows Supported Mac Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Supported iPad Supported Android Supported Chromebook Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
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.	Audience Data Professionals and Business Users
Support Phone Support Supported 24/7 Live Support Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
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	Pricing No information available. Free Version Not Supported Free Trial Supported
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	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
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 Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Domo Founded: 2011 United States www.domo.com	Company Information Raqsoft Founded: 2000 China www.raqsoft.com
Alternatives SCIKIQ	Alternatives Omniscope Evo Visokio
Looker Google	Jaspersoft Cloud Software Group
Qrvey	Domo
DomoAI	esProc Desktop Scudata
Databricks View All	Brainbase View All
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	Categories Data Analysis Supported Embedded Analytics Supported ETL Supported Reporting 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 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 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 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 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 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 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	Data Analysis Features Data Discovery Supported Data Visualization Not Supported High Volume Processing Supported Predictive Analytics Not Supported Regression Analysis Not Supported Sentiment Analysis Not Supported Statistical Modeling Not Supported Text Analytics Supported ETL Features Data Analysis Supported Data Filtering Supported Data Quality Control Not Supported Job Scheduling Not Supported Match & Merge Supported Metadata Management Not Supported Non-Relational Transformations Supported Version Control Not Supported Embedded Analytics Features Ad hoc Query Supported Application Development Supported Benchmarking Not Supported Dashboard Not Supported Interactive Reports Not Supported Mobile Reporting Not Supported Multi-User Collaboration Not Supported Self Service Analytics Not Supported Streaming Analytics Supported Visual Workflow Management Not Supported Reporting Features Customizable Dashboard Not Supported Data Source Connectors Supported Drag & Drop Not Supported Drill Down Not Supported Email Reports Not Supported Financial Reports Not Supported Forecasting Not Supported Marketing Reports Not Supported OLAP Not Supported Report Export Not Supported Sales Reports Not Supported Scheduled / Automated Reports Not Supported
Integrations Amazon Web Services (AWS) Supported Collate Supported Delacon Supported Docusign Supported Dragonboat Supported Elate Supported Fullcast Supported Khoros Supported Meltano Supported Oracle CRM On Demand Supported Pipedrive Supported QBench Supported Saleshood Supported Snowflake Supported Square POS Supported Square Payroll Supported Timbr.ai Supported Trello Supported Truto Supported Zoom Webinars Supported Show More Integrations View All 138 Integrations	Integrations Amazon Web Services (AWS) Not Supported Collate Not Supported Delacon Not Supported Docusign Not Supported Dragonboat Not Supported Elate Not Supported Fullcast Not Supported Khoros Not Supported Meltano Not Supported Oracle CRM On Demand Not Supported Pipedrive Not Supported QBench Not Supported Saleshood Not Supported Snowflake Not Supported Square POS Not Supported Square Payroll Not Supported Timbr.ai Not Supported Trello Not Supported Truto Not Supported Zoom Webinars Not Supported Show More Integrations
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