Best Data Analysis Software for SQL

Cognos Analytics with Watson brings BI to a new level with AI capabilities that provide a complete, trustworthy, and complete picture of your company. They can forecast the future, predict outcomes, and explain why they might happen. Built-in AI can be used to speed up and improve the blending of data or find the best tables for your model. AI can help you uncover hidden trends and drivers and provide insights in real-time. You can create powerful visualizations and tell the story of your data. You can also share insights via email or Slack. Combine advanced analytics with data science to unlock new opportunities. Self-service analytics that is governed and secures data from misuse adapts to your needs. You can deploy it wherever you need it - on premises, on the cloud, on IBM Cloud Pak®, for Data or as a hybrid option.

Gigasheet is the big data spreadsheet that requires no set up, training, database or coding skills. No SQL or Python code, no IT infrastructure required to explore big data. Big data answers are available to anyone, even if they're not data scientists. Best of all, your first 3GB are free! Gigasheet is used by thousands of people and teams to gain insights in minutes, rather than hours or days. Anyone who can use a spreadsheet can access Gigasheet's big data and analysis capabilities. Sharing and collaboration tools make distributing huge data sets a snap. Gigasheet integrates with more than 135 SaaS platforms and databases.

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.

Etlworks is a cloud-first, all-to-any data integration platform. It scales with your business. It can connect to databases and business applications as well as structured, semi-structured and unstructured data of all types, shapes, and sizes. With an intuitive drag-and drop interface, scripting languages and SQL, you can quickly create, test and schedule complex data integration and automation scenarios. Etlworks supports real time change data capture (CDC), EDI transformations and many other data integration tasks. It works exactly as advertised.

Aqua Data Studio is a tool for database administrators and database developers. It also helps data and business analysts manage data platforms and analyze data visually. It offers a unique combination, unlike its competitors, of a full-featured database editor and visual analytics. It also supports flexible import and export, advanced SQL queries optimization, extensive comparisons of databases and data, as well as powerful team collaboration.

AutoML, an open-source, state-of the-art AutoML technology, is used to train high-quality models quickly and easily. Deep Learning and pre-trained models are used to provide additional intelligence when applicable. Uses Causal AI and AutoML to ensure fairness, causal inference, and counterfactual predictions. All models can be instantly deployed online to be used with an API or interactively online. Complete feature descriptions and model explanations with Shapley value. Our AI engine is completely open-source. Our algorithms can be fully audited, and can be used anywhere. It groups customers and products into similar groups with a rich set features. Forecasts the future by using historical data to capture temporal patterns. Predicts unlabelled data using predictive models built with labelled data

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.

Displayr is a powerful software for analysis and reporting of survey data. The only tool that you will ever need to uncover data stories and share them. Displayr is a single app that connects your survey data, analyses, visualizations, reports, and reports to provide seamless automation and better insights. Displayr replaces all your complex analysis and reporting tools. Amazing things happen. You can do everything in a fraction the time. From data cleaning, to analysis, to dashboards and presentations. Displayr does all the grunt work, and it's also faster & easier for you to do advanced analysis. Share interactive reports with auto-updating data and analysis. When you combine all your analysis with reporting, you leave yourself less room for errors. If a mistake is found, you can fix it and auto-update all your reports.

The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.

kdb Insights, a cloud native, high-performance analytics solution designed for real-time data analysis of streaming and historical data, is a platform that can be used to analyze both streams and historical information. It allows for intelligent decision making regardless of data volume and velocity. It offers unmatched performance and price, and delivers analytics up to 100-fold faster than other solutions. The platform allows interactive data visualization via real-time dashboards to facilitate instantaneous insight and decision-making. It also integrates machine-learning models to predict and cluster structured data, detect patterns, score it, and enhance AI capabilities for time-series datasets. kdb Insights is scalable enough to handle large volumes of real-time data and historical data. This has been proven with volumes up to 110 Terabytes per Day. Its simple data intake and quick setup accelerate time-to value. Native support for q SQL and Python is also available, as well as compatibility with other programming languages via RESTful interfaces.

Apache Spark™, a unified analytics engine that can handle large-scale data processing, is available. Apache Spark delivers high performance for streaming and batch data. It uses a state of the art DAG scheduler, query optimizer, as well as a physical execution engine. Spark has over 80 high-level operators, making it easy to create parallel apps. You can also use it interactively via the Scala, Python and R SQL shells. Spark powers a number of libraries, including SQL and DataFrames and MLlib for machine-learning, GraphX and Spark Streaming. These libraries can be combined seamlessly in one application. Spark can run on Hadoop, Apache Mesos and Kubernetes. It can also be used standalone or in the cloud. It can access a variety of data sources. Spark can be run in standalone cluster mode on EC2, Hadoop YARN and Mesos. Access data in HDFS and Alluxio.

Automate data access via data platforms and apps. Explore, prep, blend and analyze data and then deliver bot-driven insights wherever and whenever you need them. Create workflows in minutes to automate all steps of analytics, from data access to delivery. Shadow analytics is dead. All stakeholders can collaborate and create in one platform. Audit and manage workflows. One platform for supply-chain and HR, sales & marketing analytics. Fivetran, Snowflake (DBT, Workday), Pendo Marketo, PowerBI), Pendo, Marketo and Pendo are all integrated. No code. No limits. Savant's no code platform allows you to stitch, transform, and analyze data using the exact same functions as in Excel or SQL. Automated steps make it easy to focus on analysis and not manual work.