Like Apache Spark, Presto is an open source tool, using distributed SQL queries, designed to run queries against data as a powerful interactive analytics engine. It's super-flexible too, running on Hadoop (for which it was originally developed), Apache Mesos, Kubernetes, by itself as a standalone platform, or in the cloud, making it suitable for businesses of all sizes and in all sectors.

It's also one of the most widely used data analysis tools and is used by all-sized companies, from small businesses, to public sector organisations and tech giants like Apple, Facebook, IBM, and Microsoft.Īpache Spark takes analysis one step further, allowing developers to use large-scale SQL, batch processing, stream processing, and machine learning in one place, alongside graph procession too. It's open source, effective, and works with all major big data languages including Java, Scala, Python, R, and SQL. Here, we round up our favourite data analysis tools.Īpache Spark is perhaps one of the most well-known big data analysis tools, built with big data at the forefront of eveything it does.

Got the data you need? Now it's time to find the most powerful tools to help you analyse it in order to glean key insights into your business, your customers or the wider world. The tool also provides environments for machine learning, text mining, predictive analytics and business analytics to help with the entire process. A free version is also available, although it's limited to 1 logical processor and 10,000 data rows. This makes it an attractive option for organisations without a specific resource or if they're just looking for a tool to start mining data. RapidMiner is an open source data mining tool that allows customers to use templates rather than having to write code. It features a huge range of algorithms and community contributions to offer a full suite of data mining and analysis tools. Text files, databases, documents, images, networks and even Hadoop-based data can all be read, making it a perfect solution if the data types are mixed. KNIME is a scalable open source solution with more than 1,000 modules to help data scientists mine for new insights, make predictions, and uncover key points from data. It covers text analytics, entity analytics, decision management and optimisation and allows for the mining of both structured and unstructured data across an entire dataset. IBM's SPSS Modeler can be used to build predictive models using its visual interface rather than via programming.

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