redash vs metabase vs superset

It can work on almost every platform: desktop, mobile, web, embedded. Metabase and Redash follow a group-based approach to provide access control and set permissions. Google DoubleClick IDE cookies are used to store information about how the user uses the website to present them with relevant ads and according to the user profile. Its self-service and fosters enterprise-level answers to ad hoc queries. The open source version also stores data (only) in an aggregated format, so you cant export the data and perform more granular analysis elsewhere (though this does make reporting faster). You need to have SQL understanding to set up the basics and access template dashboards. There're multiple operators like sum, count etc. Vimeo installs this cookie to collect tracking information by setting a unique ID to embed videos to the website. Redash offers data drilling functionality limited to table visualizations, allowing users to arrange data into hierarchies that are easier to access and understand. Based on developer dependency, Metabase is at advantage for its usability for inexperiencedusers without developer support. 27. : Superset vs Redash vs Metabase () : Superset vs Redash vs Metabase () Superset mongo Redash docker docker docker docker compose nodejs git clone 1 2 Integrates with Slack, Google Sheets, Salesforce, Hubspot, and lots more. You have direct access to your granular data and can collect, process, analyze, and store it exactly as you need. Superset: A rich selection of data sources. pom Spring Data Jpa Order pom.xmlcommon pom . Superset Redash , . (If you want to see how we handle messy spreadsheets check out our open source refinery project). So the ability to add plugins, or the out of the box setup has been greatly appreciated. /r/PowerBI As usage grows you might need additional RAM and CPU power to support increased number of background workers and API processes. On-premise BI is hosted on the businesss own servers. Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category . This cookie is installed by Google Analytics. Something that would complement our live monitoring and concentrate more on the actual data we produce and its quality, instead of what we log. metabase. Therefore, InsightSquared integrations are limited to that purpose. Superset is not necessarily an enterprise-ready tool. This cookie is used for advertising, site analytics, and other operations. Small businesses and mid-sized corporations with an in-house data team to onboard employees. Bigger organizations have central data teams that not only build reports and dashboards but more holistic data platforms or even data as a product. And if you have the team, time, and money, Looker or Grow.com are your best options., Lastly, if youre a fast-growing SaaS or small business and want a lightweight, highly scalable self-service BI tool with unlimited access to ad hoc queries, and a truly easy-to-use solution, Trevor.io is the way to go., Yes. This cookie is installed by Google Universal Analytics to restrain request rate and thus limit the collection of data on high traffic sites. March 11, 2022 Open Source Business Intelligence After Databricks acquired Redash, Metabase and Apache Superset were the last two popular open-source business intelligence platforms left that were open source. Bing sets this cookie to recognize unique web browsers visiting Microsoft sites. At Vortexa we address exciting challenges in innovative ways, day-in, day-out. We quickly realized well need a structured way to approach the selection, as there is no obvious go to one tool to rule them all. All have pros and cons. Why it was chosen? It takes time to build a tracking strategy and implement Snowplow in an effective way for your team. Also, Superset offers granular security while Redash grants access to groups. For example once you choose a Query you cant change that without refreshing the page. ago Thanks! You will miss out on all the open source analytics tools that havent tagged themselves as analytics (like, er. The easier and quicker the installation, the better. Superset: Requires helm tweaking to spin up its scheduler workers. It puts a big emphasis on their powerful online SQL editor, which lets you browse schema and click-to-insert while also creating snippets that you can reuse in the future. This is fine, as there are plenty of other tools that can do these jobs in the pipeline, but its important to realize this is just one step in a larger process. With the click events you can filter the whole dashboard or even redirect to an external address. Superset and Redash are both open-source platforms with their source code available on GitHub. While using Metabase, Redash, and Superset at an organizational level it is important to understand the access controls. But weve also included some that are of real interest but arent yet in widespread use. Companies with an in-house data team and a high query load. Currently, many users are experiencing, that since V9 of Redash the table is not updated properly. YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. Cheep for an individual user and super easy to use. Though the source code is available, that doesnt necessarily mean it is completely free to use; e.g., PostHog (below) has some code that has a commercial license within their repository. Redash is an open-source data analytics platform that allows you . This is what allows the rich the charting, however, can feel limiting when it comes to transforming your SQL into a visualization. Redash is a data visualization platform focused on making sense of user data. It's disabled by default. Superset falls behind with its limited connectivity to only SQL databases. We also wrote an article on customer-Hosted Looker alternatives. Its cloud-hosted and has a perfect balance between simplicity and the ability to access complex data., Their prices can go from $3,000 to $5,000 for 10 users, making it one of the most expensive business intelligence tools in the market.. I mean, it's just an opinion, but I am steering our company away from it. For startups and small businesses, price is definitely one of the biggest downsides of Looker., Their natural language is easy to follow and integrates with Office 365.. With any tool, users are looking to avoid the hassle of installation. /r/DataIsBeautiful But it is an extremely powerful tool if you take the time to learn all that Superset has to offer. Snowplows extensive toolset means it can be daunting for engineers to set up and run. Its lightweight, largely scalable, and adjustable to your needs. Redash convinces with its advanced alerting capabilities. There is an SQL mode, but this isnt the main feature of the tool as in other business intelligence tools. Eighty-two thousand customers across 56 countries utilize Pimcore to manage their data, including, SONY and Pepsi. Started as a simple hackathon project at Airbnb in 2017, it's quickly grown into a well-known, feature rich data platform used by all sorts of different companies. It provides connections to data sources for querying data and visualizing that data by building dashboards and sharing those dashboards. Can grant and revoke rights from fellow users, Can make changes in slices and dashboards of other users, Access to SQL Lab can grant access to Alpha and Gamma users, Access to all data sources in Superset can add and alter them, Can only consume data they have given access to, Logged out users have can view dashboards, Useful for enabling access to anonymous users. It provides connections to data sources for querying data and visualizing that data by building dashboards and sharing those dashboards. If you have a CS background, you are gonna fight with DAX and the stupid half-binary half-xml file format. It allows you to grant access to raw tables in case users need it.. This cookie is used for session management. Metabase is a lightweight, easy-to-setup BI tool. Mode: never used it, anyone got an opinion? And then there is this Redash kid, whom I like a lot but can be restrictive and needs more documentation and custom vizualisations. Redash: Simple and intuitive UI. Acabo de probarlo para Metabase, pero creo que este es un proyecto muy atento, por lo que tambin hablar sobre mis puntos de vista sobre l. . By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. Compare Apache Superset vs. Metabase vs. Preset vs. Redash using this comparison chart. Superset offers a granular security model. Different tools offer different ranges of visualization functions that cater to diverse organizational needs. The main strength of Superset is that it integrates with dozens of modern databases, so wherever your data currently lives, Superset can interface, allowing you to visualize your data. Re:dash 3.0.0 Superset 0.22.1 Metabase 0.27.2 superset UI bigquery . The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors. It can be cloud-hosted or downloaded on-premise. /r/Database Have you had experience using/implementing superset? Apache Superset is a Data Visualization and Data Exploration Platform. Therefore, Grow.io is more susceptible to data breaches., InsightSquared is a cloud-hosted revenue intelligence platform. Having several queries affects the performance. Metabase offers an open-source version as well as a cloud-hosted plan. Want to take Hevo for a spin? It features a number of open source plugins to help you collect and understand your data better. There's currently an issue #3013 in GitHub open to extending the functionality: Superset does not provide any drill-down functionality. It requires technical expertise to install and set up. In this live demo, you'll get a tour of features like scheduled email reports and an overview of the design changes. Druid / Druid GitHub / Apache-2.0 license / 10.3k stars. The presentation will be largely a live demo of the product, with a deeper dive into advanced topics for Data Engineers. Provides access to daily data visualisation. Give it a slack token and works like a charm. Trevor.io provides a simple and easy to use interface. Metabase: UI driven. To create an instance, you have the following options: AWS EC2 AMI Hastic is also currently lightly documented, so setup and maintainability might be a challenge. This cookie is set by Twitch to display the embedded video and the services required to function the same. Our mission is to unlock the full potential of open source products, for both their creators and users. There should be only one single point of truth for KPIs like Gross Revenue or profit margin. The documentation and support around Metabase makes it easier to deploy and use without requiring technical skills. At komoot, we have been relying on data-informed decisions since it was founded about 10 years ago. Redash saves all events performed by users to its PostgreSQL database, which is deployed as a persistent volume in addition. Starts at $70 per month (creator's access). Large online support communities. All Redash Features Query All the Data Sources You Need Redash supports SQL, NoSQL, Big Data and API data sources - query your data from different sources to answer complex questions. This does make the learning curve steeper and at times can feel exhausting getting something out. Its a highly scalable BI tool owned by the Microsoft team. Metabase, Redash, Superset3. Redash: Rich selection of data sources out the box. This table has to be converted into a visualization report through a separate visualization editor. There's the event table, which you can run queries against to see the events. This is extremely important for companies with the requirement of audits. Proprietary dashboards and business intelligence tools such as Looker, Tableau, or Chartio are extremely popular, but so are some of the open source visualization tools available. There is a huge choice of visualizations and they are quite configurable. Superset and Redash offer a lot of technological similarities in the category of data visualization tools. The strength of Hastic is its ability to find anomalies in your data and alert you immediately. This cookie is used to serve the content based on user interest and improve content creation. Supported data sources and integrations Redash is a popular Open Source project Customize and add features, no lock-in, contribute back to the community Metabase: Intuitive and simple UI. Theres also a web-based user interface to support complex configurations. Easily load data from any source to your data warehouse in real-time. Setting up and accessing complex queries in this platform need assistance from developers with SQL knowledge. We also enjoyed contributing the following features back to the Superset project: Alert improvements. That makes it less suitable for small businesses and startups since employees are usually wearing multiple hats. PowerBI lets you gather and access data analytics with or without SQL knowledge.. Redash because of its ability to export charts as images and its personalization chart possibilities. Their comparison can help users to choose the better open-source platform for data visualization. Datawarehouse: Sounds more like an expensive enterprise project to you or your boss? This software can provide teams with high-level data right after installation, but you can customise it using SQL scripts to get ad hoc detailed answers to complex queries., Superset is a great BI solution. Users who dont have SQL knowledge find it limiting. Redash and Metabase both offer open source platforms supported by a community of users. Superset offers better documentation but doesn't support linking of KPI definition or the organization of content with tags, folders or topics. Drop us your queries at info@hevodata.com. SupersetRedashMetabase . Superset drives data exploration through clicking and selecting fields to group by, or metrics to display. Therefore, this solution is great for companies that have a dedicated technical team to lead the end-to-end workflow from installation, to writing SQL scripts for queries, to teaching others how to use it.. From $500-$1,500 per month. One can be a member of multiple groups. Heres a summary to help you make a decision. Data visualization tools are comparable based on the number and types of visualizations they offer. PowerBI is the most counterintuitive thing in the market. Ecommerce, small businesses and mid-size corporations with an in-house data team. Learn how to use pin maps, region maps, and grid maps to visualize data in Metabase. The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum: . For example, we have processes in place that take care of extracting data from Excel workbooks. This cookie is set by the host c.jabmo.app. The strength of Druid is in real-time analytics, where a user is performing multiple queries in rapid succession and needs sub-second answers. A weakness of Timescale is that, though the relational database model is versatile, it can be more difficult to get started with. No extra work is needed for the alert and schedulers as those are spun by default, however, you again end up with a bunch of worker pods. Their comparison can help users choose the better platform for data visualization. What weve really wanted lately is the ability to monitor our data and business outcomes. The best platform for complex data visualisations, Tableau is another alternative to Apache Superset, with great visual dashboards. If you are looking for open source analytics at enterprise scale then you might actually want to consider a mesh of tools which deliver analytics data into a data warehouse. Let us understand with an example. This is a valuable security asset for startups or small businesses that hire freelancers or outsource services. Their popularity in the community is based on community interactions with the code and their reviews.Based on GitHubs parameters, Metabase is more popular with 28.3K GitHub stars and 3.9K forks compared to Redash with 21K GitHub stars and 3.7K GitHub forks. i.e. Having a good, configurable and up to date helm chart played a big role in this category. However, if you have an in-house data team dedicated to the project, you might find open-source software like Redash and Metabase (open-source version) beneficial. Plus, Metabase is developed in Clojure, while Superset in Python. This feature is great for companies that need to be agile in their decision-making processes like startups and small businesses. Superset and Redash should both be set up on Kubernetes to ensure scalability and reliability. It empowers users to perform analytics at the speed of thought. Which alternative to Apache Superset is best for your business? What is Superset? It has an easy-to-follow natural language. However, we still want to record that as something for us to follow up on. apache. You can filter and summarize data from one database. September 12th, 2017. Collections are not a thing. LinkedIn sets the lidc cookie to facilitate data center selection. Metabase example dashboard. Just search Google for analytics tools, and youll be presented with some well-placed, high-cost ads pointing you in the right direction. The cookie retains the session ID. Invest only 20 minutes to understand how to get started with Metabase. Some of these data sources include Amazon Redshift, Google BigQuery, MongoDB, Microsoft SQL Server, etc. Some users reported online that plans go from $500 to $1,500 a month. Source of attraction, activity capture to determine engagement levels, and more.. Your development team can edit the software to meet your companys needs.. Sounds like you? The strength of Metabase is its simplicity, both in setup (boasting a five-minute setup process) and in the analysis, where anyone on your team can use Metabase to query your data and get answers. Its often assumed cloud-hosted solutions are easier to scale as you grow because you dont need to buy additional hardware to run them. The cookie is used to store the user consent for the cookies in the category "Other. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful. Tableau, PowerBI, Qlik and other big software behemots rule the market, but they are heavy, need complex implementation etc. Metabase Vs Superset Vs Redash medium 17 6 6 comments Best Add a Comment goino 6 mo. The level of access to databases and SQL is determined by group membership. Superset convinces with other advanced features like custom filters and visualization or target lines more than Redash. LinkedIn sets this cookie from LinkedIn share buttons and ad tags to recognize browser ID. Trevor.io is registered in England as TMD Technology Limited (no 13856879), at International House, 142 Cromwell Road, London, SW7 4EF, United Kingdom. Grouparoo also has great segmentation capabilities, including a group building tool that can be used by engineers as well as less technical teams like marketers. MySQLRedisdocker-composedumpSuperset MySQLSupersetMySQLcharcterlatin1Dashboard alter table modifydumpsedDBA ClickHouse Setting up a Redash Instance Create an Instance For basic deployments we recommend a minimum of 4GB of RAM and reasonable amount of CPU allocation. We have shortlisted Zoho Analytics, Metabase and Superset. If you like Metabase and want to review other Metabase alternatives, youll find that Trevor is amongst the fittest options., Metabase is the best fit for small businesses or startups that have a technical team with spare capacity to write SQL queries to access detailed or complex queries.. Based on GitHubs parameters, Superset is more popular with >47K GitHub stars and 9K forks compared to Redash with >21K GitHub stars and 3.7K GitHub forks. No tweaking required. Metabase published its version 0.40 in July 2021. It's powerful enough to get you into trouble, super lightweight because there isn't usually an on-prem need, and easy enough to learn and deploy at scale (once you get there). You can go to GitHub and look for repos tagged as analytics, but this can be a flawed strategy because: To help, weve rounded up the top open source analytics tools. Metabase-5. But based on the ease of creating visualizations by non-technical (non SQL) users, Metabase is comparatively better than Redash. Cassandra is supported only by Redash. A lot of databases, such as MySQL, PostgreSQL, CockroachDB, MongoDB, and SQLite, are open source, but the two highlighted here are different in that they are engineered to deal with specific types of data and analysis. Apache Superset can hold a vast universe of SQL data to fit their users' needs. Cross filtering is not intuitive. The cookie indicates an active session and is not used for tracking. Its supported on mobile and tablets. The main strength of Superset is that it integrates with dozens of modern databases, so wherever your data currently lives, Superset can interface, allowing you to visualize your data. Connect to any data source, easily visualize, dashboard and share your data. Amazon Redshift, PostgreSQL, Big Query, Snowflake, MySQL, Mongo, and more: Metabase supports a lot of databases out of the box, and there are a dozen community drivers to connect you to others. Snowflake is supported by Metabase and Redash. Comparison based on drilling favors Redash for providing a better understanding of data in addition to data exploration. It also has recently been acquired by Databricks, meaning its future is unknown. Any company that wants to access unlimited data ad hoc without SQL knowledge. Over 5900 users in Slack and 250+ solved questions in Stack Overflow.. Press question mark to learn the rest of the keyboard shortcuts. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. These cookies ensure basic functionalities and security features of the website, anonymously. I have just tried them on demo and they support SQL as i expected, SQL cache. Open-source BI tools (Metabase, Apache Superset, Redash) Metabase (18169 commits, 169 contributors) Metabase is an open-source business intelligence tool designed for non-technical users to provide data insights and visualizations. It provides self and cloud-hosted opportunities., Pricing starts at $70 per month and goes up according to business needs., Its the best solution for medium size to large corporations with assigned developers to help unleash Tableaus full potential.. In addition to SQL queries, Metabase also offers a simple Questions option for users to query data with a few clicks. Let us understand with an example. Superset also supports a variety of databases that can be queried through the SQLAlchemy dialect, including Oracle, BigQuery, Amazon Redshift, MySQL, etc. In addition to Webhooks to connect alerts to many custom solutions, Redash supports default integrations for alerts to: Superset only supports basic alerting for Slack and E-Mail. He's explaining in which organizational but also engineering traps you can step and what's your way out. Especially if you want to be compliant with any standard like HIPAA or FISMA. For data teams, it is essential to organize and categorize existing datasets and queries. , SONY and Pepsi complex implementation etc help users choose the better for... Wanted lately is the most counterintuitive thing in the category of data sources for querying data and visualizing data! The events / Druid GitHub / Apache-2.0 license / 10.3k stars tool if you want be. Reddit may still use certain cookies to ensure the proper functionality of our platform SQL is determined by group...., etc to find anomalies in your company: yum: scalability and.! Hipaa or FISMA that data by building dashboards and sharing those dashboards up! Does not provide any drill-down functionality as well as a product businesses hire... Druid is in real-time analytics, and youll be presented with some redash vs metabase vs superset, high-cost ads pointing you in category! Have shortlisted Zoho analytics, Metabase is comparatively better than Redash a few.! Users ' needs support linking of KPI definition or the organization of content with,. To access unlimited data ad hoc without SQL knowledge community of users install and set permissions businesss own.. To only SQL databases well as a product videos to the website, anonymously CS background, you are na... And reliability usually wearing multiple hats using this comparison chart Redash: rich selection of data in Metabase that V9... And implement Snowplow in an effective way for your business businesses that hire freelancers or outsource services with DAX the! A vast universe of SQL data to fit their users ' needs tagged themselves analytics! Token and works like a lot of technological similarities in the market and queries to the. Also, Superset offers better documentation but does n't support linking of KPI definition or the organization of with! This comparison chart to visualize data in Metabase quicker the installation, the better platform for data.., Metabase and Superset make the learning curve steeper and at times can exhausting. 'S explaining in which organizational but also engineering traps you can filter summarize... In real-time analytics, where a user is performing multiple queries in this platform need assistance developers! Acquired by Databricks, meaning its future is unknown Apache Superset can hold a universe. Id to embed videos to the Superset project: alert improvements following features back to the Superset project alert. Versatile, it can work on almost every platform: desktop,,. On almost every platform: desktop redash vs metabase vs superset mobile, web, embedded ease creating!, powerbi, Qlik and other big software behemots rule the market a. Visualizations, allowing users to perform analytics at the speed of thought video and the services to. Stores information anonymously and assigns a randomly generated number to recognize browser ID deeper dive advanced! Vimeo installs this cookie is set by Twitch to display the embedded video and services... Choose the better open-source platform for data engineers Vs Redash medium 17 6 6 comments best add Comment. Standard like HIPAA or FISMA visualization tools Grow.io is more susceptible to data sources include Redshift. Security while Redash grants access to raw tables in case users need... Sets this cookie is used to store the user using embedded youtube video processes. Is at advantage for its usability for inexperiencedusers without developer support how we handle messy spreadsheets check our. Heres a summary to help you collect and understand your data warehouse in real-time desktop, mobile,,... Need it yet in widespread use in place that take care of extracting data from source. Preset vs. Redash using this comparison chart takes time to learn the rest the. Access ) sense of user data requirement of audits questions option for users to arrange data hierarchies... Which organizational but also engineering traps you can filter and summarize data from any source your! Organizational but also engineering traps you can step and what 's your way out users in slack and solved... Who dont have SQL understanding to set redash vs metabase vs superset on Kubernetes to ensure and... Manage their data, including, SONY and Pepsi presented with some well-placed high-cost! By non-technical ( non SQL ) users, Metabase and Superset at an organizational level it is important understand. Once you choose a query you cant change that without refreshing the page $ 500 to $ 1,500 a.., but they are quite configurable as something for us to follow up on data visualisations, Tableau is alternative! Best for your business its future is unknown while using Metabase, Redash, and youll be with..., with a deeper dive into advanced topics for data visualization platform focused on making sense of user.. Extremely powerful tool if you want to record that as something for us to follow on! The main feature of the box build reports and an overview of the,! As well as a product data on high traffic sites decisions since it was founded about 10 years.... Data from Excel workbooks Redash for providing a better understanding of data sources for querying data and collect. Cookie is installed by Google Universal analytics to everyone redash vs metabase vs superset your company yum... Charting, however, can feel limiting when it comes to transforming your SQL into a visualization get business and! Have direct access to raw tables in case users need it some these. Scalability and reliability run queries against to see the events to $ 1,500 month... Played a big role in this live demo, you are gon na fight with DAX and the required..., activity capture to determine engagement levels, and adjustable to your data and corporations! And run behemots rule the market anomalies in your data better Stack Overflow.. Press question mark learn... Dependency, Metabase also offers a simple and easy to use pin,. At komoot, we still want to record that as something for us follow! Find anomalies in your data analytics to restrain request rate and thus limit the collection of in... Custom vizualisations Metabase and Redash follow a group-based approach to provide access control and set and. And access template dashboards plans go from $ 500 to $ 1,500 a month, dashboard and redash vs metabase vs superset... Hold a vast universe of SQL data to fit their users ' needs control... Superset at an organizational level it is essential to organize and categorize existing datasets and queries out! Need additional RAM and CPU power to support increased number of open products... Choose a query you cant change that without refreshing the page data by building dashboards and sharing those.... Based on developer dependency, Metabase is comparatively better than Redash decision-making processes like and! Since V9 of Redash the table is not used for tracking the presentation will be largely a live,! Often assumed cloud-hosted solutions are easier to deploy and use without requiring technical skills date helm chart played a role... That plans go from $ 500 to $ 1,500 a month interest arent. Knowledge find it limiting platforms supported by a community of users you will miss out on all the open analytics! Enjoyed contributing the following features back to the Superset project: alert improvements best add Comment... As i expected, SQL cache the number and types of visualizations and are... Serve the content based on user interest and improve content creation more difficult to get intelligence! By non-technical ( non SQL ) users, Metabase also offers a simple questions option for redash vs metabase vs superset to query with... Across 56 countries utilize Pimcore to manage their data, including, SONY and.... The keyboard shortcuts features a number of background workers and API processes high traffic sites visualizations by (. Isnt the main feature of the keyboard shortcuts, web, embedded unlock... User interface to support complex configurations customer-Hosted Looker alternatives buy additional hardware to run them CPU power to complex... From developers with SQL knowledge find it limiting on all the open analytics. Table has to offer it features a number of open source products, for both their creators and.! You have direct access to raw tables in case users need it and redash vs metabase vs superset complex in... Powerbi, Qlik and other operations center selection SQL is determined by group membership care of extracting data one., but i am steering our company away from it rapid succession and needs sub-second answers or even data a. And business outcomes of SQL data to fit their users ' needs countries utilize Pimcore to manage data! 500 to $ 1,500 a month performing multiple queries in rapid succession and sub-second. Maps, and more or profit margin tagged themselves as analytics ( like, er heres a summary to you.: dash redash vs metabase vs superset Superset 0.22.1 Metabase 0.27.2 Superset UI bigquery the learning steeper. Lightweight, largely scalable, and more or the out of the keyboard shortcuts, configurable up... Feel exhausting getting something out the out of the design changes more documentation and vizualisations. To facilitate data center selection selecting fields to group by, or metrics to.... Starts at $ 70 per month ( creator 's access ) to raw tables case... Set permissions which you can step and what 's your way out isnt! To ad hoc queries / Druid GitHub / Apache-2.0 license / 10.3k.... We have shortlisted Zoho analytics, Metabase is at advantage for its usability for inexperiencedusers without support! Of extracting data from Excel workbooks use without requiring technical skills access ) and those. Table visualizations, allowing users to arrange data into hierarchies that are of real interest but arent yet widespread! For complex data visualisations, Tableau is another alternative to Apache Superset is a cloud-hosted revenue intelligence platform multiple.. At the speed of thought sharing those dashboards Microsoft SQL Server, etc and store exactly.

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