Top Domo Alternatives & Competitors For 2024

Domo has everything data teams could wish for — self-service ETL, advanced analytics and data science. Its rich set of connectors makes users happy as they praise its robust integration APIs. Its scripting language is similar to Power BI, and knowing SQL will shorten your team's learning curve. The vendor offers daily refreshes, currently capping them at 48.On the flip side, the interface seemed a bit clunky to me. Dashboards don’t display in the edit mode by default, which was a tad annoying. The Getting Started documentation is dated and doesn’t match the new interface. I could find my way around with help from user forums.While the vendor earns praise for releasing frequent updates, quite a few users say some much-needed features lack depth. According to our research, Domo offers only 64% of the required functionality out of the box, which is much less than what Power BI and Tableau provide. It also underperforms in data querying, scoring only 53 in our analysis.Some reviews mention bugs and that performance can lag when handling anything complex than simple visualizations. The slowness could be due to the multitenant SaaS model that provides shared computing. As for the mobile app, it didn’t work in the offline mode for me. I should mention here that I had opted for the trial version. A proof-of-concept will help you check if the issue persists in the paid edition.Domo’s pay-as-you-go model is great for estimating usage but be prepared to pay more for workload spikes. According to our research, about 89% of users who reviewed the price found Domo’s consumption model expensive. Small organizations working with a lean team might find it challenging to handle billing.Here’s what’s great about subscribing to Domo. You can create as many reports and dashboards as required — there’s no limit or additional cost. Plus, Domo allows adding an unlimited number of users. Domo accepts external data models from OpenAI, Amazon Bedrock, Hugging Face, Databricks and Jupyter Workspaces.Despite a competitive market, Domo is an excellent product for organizations seeking data visualization and strong integration. Its flexible pricing model and recent AI updates make it a strong challenger to leading data platforms.

SQL Server continues to be a popular choice for database management, with user reviews highlighting both its strengths and weaknesses. Reliability and performance remain key selling points. Users praise its stability, speed, and ability to handle demanding workloads, making it a trusted choice for mission-critical applications. However, licensing costs can be a significant barrier, especially for larger deployments compared to open-source alternatives like PostgreSQL. Security is another forte, with users appreciating its multi-layered approach to protecting sensitive data. However, its complexity can be daunting, requiring specialized skills for administration and maintenance, particularly in larger environments. While Azure SQL Managed Instance offers managed cloud services, some users find on-premises deployments less flexible for cloud migration. Users acknowledge its rich set of tools and features, including SSMS, SSDT, and SSRS, for efficient database management, development, and analysis. Yet, they recognize vendor lock-in as a potential drawback, as switching to other systems can be challenging due to its proprietary nature and T-SQL language. Overall, SQL Server's reliability, performance, and security are highly valued. However, its cost, complexity, and limited cloud flexibility are common concerns. Users compare it favorably to PostgreSQL for affordability and open-source nature, while acknowledging its less mature feature set. Oracle Database is seen as a competitor for large-scale enterprise deployments, but users note its even higher cost and complexity. Ultimately, the choice comes down to specific needs and priorities. For users prioritizing reliability, security, and integration with the Microsoft ecosystem, SQL Server remains a compelling option. However, those seeking flexibility, lower costs, or open-source options might find PostgreSQL or other alternatives more attractive.

Tableau Desktop is a BI solution for data visualization, dashboarding and location analysis. In online reviews, users said they found its drag-and-drop charting a boon for creating charts and maps. Regarding customization, many users praised the platform for its various labeling and design options.I recently tried the Tableau Desktop 2024.1.3 version. The trial is only for 14 days and is enough for a sneak peek into Tableau’s dashboarding and data storytelling capabilities. For more straightforward use cases, Tableau is incredibly user-friendly and fast. Creating a new sheet gives you a canvas to create a visualization. Once you have the required sheets, combining them into a dashboard view is straightforward — select and add.My dataset included healthcare data, including details of patients, their hospital visits and insurance payer details. One use case was to find the total claim settlement amount. I dragged the Total Claims Cost and Payer fields to the column and row shelves, and Tableau gave me a bar graph. The toolbar had single-click options for sorting data from increasing to decreasing values or the other way around.To view the number of encounters by payer, I dragged the Payer field to the row shelf and used the SUM(ROW_COUNT()) function on the column shelf. The chart popped up with more visualization and layout options.I wanted an interactive filter to view the average claim cost by birthdate. I dragged the Birthdate field to the Filters shelf and right-clicked on it to set the end date as October 22, 1961. Selecting Show Filter added a slider conveniently to the right of my visualization. I could see the data for people born before October 22, 1961, and if required, I could change the end date.Another use case would be viewing the data by the type of hospital visits — how many people were inpatients, outpatients or those who needed emergency care. I dragged and dropped the Total Claims Cost and Payer fields into columns and rows, respectively. Similarly, I dropped Encounterclass into the Filters shelf and clicked on Show Filter to enable a checkbox on the screen. It had all the categories of visits, giving users the option to select the desired views.One-fourth of the users discussing adoption said there was a steep learning curve. Tableau relies on Python and R scripts for statistics in its visualizations. It's where the named licenses can prove to be a blessing, as you can opt to train upcoming Creators and Explorers. We recommend factoring in training if you want to hit the ground running.Some reviewers felt discounted packages for business editions should be available, similar to the free student licenses. At $70 per user, the Creator license can seem costly when compared to Power BI ($9.99 per user) and Qlik Sense ($30 per user).Here's the good news, though. Its built-in user management acts as a permissions layer for your organization - users can only access the relevant content. Plus, an organization will have very few Creators and a greater number of Viewers and Explorers, and the license fee reduces from Creator to Explorer to Viewer.We recommend opting for a wise license combination to get the most out of the product.On the upside, the vendor constantly releases new features, the latest one being Einstein CoPilot in beta.Overall, Tableau is a competitive BI solution, but if the pricing seems inflexible, quite a few other solutions offer live insights and advanced analytics out of the box.

MicroStrategy is a patchwork quilt of products on the web, desktop and mobile. There’s MicroStrategy Library where you can access published content and Auto Express for dashboarding and bot creation. Anyone with basic data skills can feed information to a bot and gain insights in seconds.You don’t need a credit card to sign up for the free trial, but you won’t be able to publish content to the server without a paid upgrade. As for choosing which edition to use, there’s the web and the desktop instance. Which one will suit you? Maybe both?MicroStrategy Workstation is for developers and data analysts and is more robust for manipulating data. It provides administrative control, even when offline, and helps prototype content before it goes live. Combining multiple visualizations on a single page provided me with more context for the same data.On the other hand, the Workstation version lacks the same level of natural language processing as the web version.MicroStrategy Web is for delivering content to your clients. Being online, it’s open to seamless upgrades and customization, and identity management and collaboration are built in. If you have a small organization, the web version might suffice, but you might want to consider going for both if you deal with large data volumes.Metadata mapping was immensely useful to me when designing a bot using MicroStrategy Auto Express. All I needed to do was feed it the data, and it generated a slew of questions I might want to ask.With a semantic layer, Microstrategy is among the BI tools that work best with large data warehouses. If you’ve just started in business or haven’t got large data volumes yet, you might want to consider a simpler tool.An oft-repeated sentiment in user reviews was that this motley crew of products — web, desktop and mobile — didn’t always sync. The vendor positions MicroStrategy One as a unified solution that’ll, hopefully, eliminate these annoyances.On the flip side, quite a few users said it could be clunky for inexperienced users. Also, some reviewers said it slowed on occasion. Most people said the solution was expensive and found its learning curve quite steep.In summary, MicroStrategy is worth considering, especially if you’re a medium or large-sized company looking for a web reporting tool with a user-friendly interface.

Altmetric is generally well-regarded for its comprehensive data collection from a variety of sources, including social media, news outlets, and policy documents. Users appreciate the platform's user-friendly interface and in-depth reporting capabilities, which help institutions and researchers understand the wider impact of their work, gauging the reach of their publications beyond traditional metrics. For example, the platform's "donut visualization" provides a clear picture of the sources driving attention towards a specific publication. However, some users have pointed out that the platform can be pricey. There are occasional concerns about the accuracy and completeness of the data. Additionally, while the interface is generally user-friendly, there might be a learning curve for new users to fully utilize all of its features. Think of it like learning to drive a car – initially, it takes focus, but with time, it becomes second nature. In conclusion, Altmetric Business Intelligence is a powerful tool for academic and research institutions looking to measure the impact of their publications, going beyond simple citation counts. Its strengths lie in its comprehensive data collection, user-friendly interface, and detailed reporting capabilities. While cost and occasional data accuracy concerns exist, its ability to showcase research reach and impact makes it particularly valuable for researchers and institutions aiming to understand the broader influence of their work in today's digital landscape.