Best Business Intelligence Software for Presto

PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast. With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery. Even if your team is already leveraging a large BI tool, like Tableau or Looker, or a hodge podge of SQL editors, PopSQL enables seamless collaboration between your SQL power users, junior analysts, and even your less technical stakeholders who are hungry for data insights. * Cross-platform compatibility with macOS, Windows, and Linux * Works with Snowflake, Redshift, BigQuery, Clickhouse, Databricks, Athena, MongoDB, PostgreSQL, MySQL, SQL Server, SQLite, Presto, Cassandra, and more

You can quickly find answers with the flexible visual query builder. You can access data via your browser or phone and analyze it anywhere you are. No SQL, data scientist, or desktop required. You can learn from your team mates and search for any questions within your organization with shared questions. @mentions, push notifications and shared chat allow you to bring the right people in the conversation and make data actionable. You can easily copy and modify shared questions, export data and change the way charts are displayed so you don't just see someone else's analysis but make it yours. External sharing can be turned on to allow access to data tables and partners outside your domain. In just two clicks, you can access the underlying data tables. Smart typeaheads make it easy to run custom SQL.

Made by industry experts. Tested at the largest tech companies in the world. Connect your people and connect your data. Every employee can access data. Reduce costs by retiring on-prem infrastructure. Multiply the productivity of your data team. We have a long history supporting open source projects and technical communities. We value the energy, open standards and exchange of ideas that result from passionate professionals coming together for a common cause. Noteable is committed to supporting technical communities, and contributing to open source whenever possible. Noteable is your data platform. It transforms the way data teams work by enabling modern collaboration securely and co-operatively among all your users. You can deploy to a multi-tenant cloud, or a single-tenant virtual-private cluster. You have complete control over the location, network setup, and other details. You set all rules for your cloud.

You can quickly create and share dynamic, customizable, and beautiful dashboards that showcase your data in just a few clicks. Explore your data with our no-code visualiser or perform deeper analysis using the state-of-the art SQL editor. A lightweight, powerful visualization layer will allow you to leverage the investments made in your data infrastructure. Superset doesn't require any additional ingestion layers and is independent of your underlying data architecture. Apache Superset is an open-source data visualization tool that was developed out of Airbnb. Preset was founded by the original creator and maintainer of Superset. It provides a complete, easy-to-use, enterprise-ready platform for Superset.

Rakam offers verticalized reporting capabilities for different teams' reporting needs. Rakam converts the questions you ask in the user interface to SQL, hiding the complexity for the end-users. rakam does not load data into your data warehouse. It expects you have all data in your data-warehouse. This allows you to analyze the data without having to pull data from outside your data warehouse. This blog post is about the topic. Rakam supports dbt core natively as the data modeling layer. rakam does not run your dbt transforms. Instead, it connects to your GIT repository and synchronizes all your dbt model automatically. rakam can create incremental DBT models. Make use of them to speed your queries and reduce your query costs. rakam creates programmatic roll-up models by hiding the complexity of aggregates in your dbt resources files.

The toolkit to build interactive, fully customized analytics experiences into your apps. Embeddable believes that you shouldn't be forced to choose between buying or building your analytics solution. While creating charts, graphs and dashboards is an expensive, ongoing commitment, the out-of-the box solutions do not deliver the user experience that you desire for your clients. Welcome to the world of limitless creativity where you can create analytics experiences that are truly remarkable, and surpass your customers' expectations. Create your perfect experience using best-in class open source libraries. Embeddable displays data in your app using a secure read only transaction, regardless of whether your data is stored in a central data warehouse or distributed across multiple microservices. Let your imagination run wild and create the analytics solution you want, without compromising.

Hex combines the best of notebooks and BI into a seamless, collaborative interface. Hex is a modern Data Workspace. It makes it easy for you to connect to data and analyze it in collaborative SQL or Python-powered notebooks. You can also share work as interactive data apps or stories. The Projects page is your default landing page in Hex. You can quickly find the projects you have created and those you share with others. The outline gives you an easy-to-read overview of all cells in a project's Logic View. Each cell in the outline lists all variables it defines and any cells that return an output (chart cells or Input Parameters cells, etc.). Display a preview of the output. To jump to a specific position in the logic, you can click on any cell in the outline.

Data-driven decision making has led to a surge in business data and an increase in demand for its analysis. IT departments are now looking to move away from expensive Enterprise Data Warehouses (EDW), and towards more cost-effective Big Data platforms such as Hadoop or AWS. The Total Cost of Ownership (TCO), for these new platforms, is approximately 10 times lower. They are not suitable for interactive BI applications as they lack the same performance and user concurrency as legacy EDWs. Jethro was created precisely for this purpose. Customers use Jethro to perform interactive BI with Big Data. Jethro is a transparent middle-tier that does not require any changes to existing apps and data. It is self-driving and requires no maintenance. Jethro is compatible to BI tools such as Microstrategy, Qlik and Tableau and is data source agnostic. Jethro meets the needs of business users by allowing thousands of concurrent users to run complex queries across billions of records.

Discover the nuance of trends by following a journey of guided data analytics questions. Self-service data analysis empowers your stakeholders. Give them the power to access and analyse the data they require, whenever they need it. Self-service analytics solutions can increase efficiency, reduce IT dependency, and help you make better data-driven decisions. Athenic AI can answer your questions by connecting to data in a database or data warehouse, or even an application such as a CRM or ERP platform. You don't need to know SQL or to hire a business analyst. Athenic is built to be able translate natural language into SQL queries. We've even added the ability to give the AI context in natural languages.

This is the place where everyone can ask questions and get data-based advice. Get your data connected and in front of your employees. Dashboards, such as this one, are easy to create, share, and examine. Any member of your team can access answers to data questions with just a few clicks. This includes the CEO and Customer Support. SQL and our notebook editor can be used to simplify complex questions. Visual joins, multiple aggregates and filtering steps allow you to dig deeper into your data. To create interactive visualizations that users can modify and explore, you can add variables to your queries. To get the right data to the right people at the right moment, set up alerts or scheduled reports. You can either use the hosted version or Docker to get started on your own. Connect to your existing data and invite your team. You have a BI solution that will take less than a sales call.