Big data analytics software provides insights into large data sets that are collected from big data clusters. These tools help business users digest data trends, patterns, and anomalies, and prepare the information into understandable data visualizations. Because of the unstructured nature of big data clusters, these analytics solutions require a query language to pull the data out of the file system. Most commercial table databases allow SQL queries. However, big data analytics tools do not necessarily offer such SQL language capabilities and may require a more intricate knowledge of querying from a data scientist. As an alternative, some solutions may offer self-service features so that the average employee can assemble their own charts and graphs from big data sets.
Other big data analytics solutions may offer artificial intelligence features, such as natural language processing, as an interface capability to further aid non-technical users. Big data analytics software is commonly used at companies running Hadoop file system in conjunction with big data processing and distribution systems to collect and store data. These products are similar to business intelligence platforms in the sense that they allow users to manipulate complex data into understandable visualizations; however, these tools are primarily connected to big data clusters.
To qualify for inclusion in the Big Data Analytics category, a product must:
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