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Knowledge Hub

Data Analytics: Big Data, Streaming, Media & Operations Analytics

A hub of data analytics directories — big data and streaming engines, cloud and edge analytics, BI and digital analytics, media analytics for speech, audio, video, image and text, and operations and security analytics.

35 topics•5 categories•Updated October 2026

Big Data, Streaming & Cloud Analytics

6 entries

Engines and platforms for analysis at scale.

01Big Data Analytics ToolsSpark, Flink, Trino, Kafka, Iceberg and other big data tools. 02Streaming Data Analytics PlatformsPlatforms that analyse data in motion. 03Cloud-based Data Analytics SolutionsManaged warehouses, lakehouses and query engines. 04Edge-based Data Analytics SolutionsAnalytics at the network edge. 05Edge Streaming Data Analytics SolutionsStreaming analytics at the edge. 06IoT Data Analytics PlatformsPlatforms for analysing sensor and device data.

BI, Digital & Forecasting

6 entries

Reporting, behaviour and prediction.

07Analytics & Business Intelligence PlatformsSelf-service BI and enterprise analytics suites. 08Digital Analytics SolutionsWeb, app and product analytics. 09Time-Series Forecasting AlgorithmsARIMA, Prophet, boosting and deep learning forecasters. 10Enterprise Data Fabric SoftwareData fabric platforms. 11Data Integration ToolsETL, ELT and data integration tools. 12BI Tools & DashboardsEnterprise and open-source BI, code-first dashboards, semantic layers, AI analytics, embedding and dashboard design guidance.

Speech, Audio, Video, Image & Text Analytics

6 entries

Analysing unstructured and media data.

13Speech Analytics PlatformsPlatforms that transcribe and analyse voice interactions. 14Speech Analytics ModulesEmbeddable speech analytics modules and APIs. 15Audio Data Analytics SolutionsAudio analytics solutions. 16Video Data Analytics SolutionsVideo analytics solutions. 17Image Data Analytics SolutionsImage analytics solutions. 18Text Data Analytics SolutionsText analytics solutions.

Log, AIOps & Security Analytics

4 entries

Analytics for IT operations and security.

19Log Analytics & Management ToolsTools for collecting, searching and analysing logs. 20AI-Powered Log Analytics ToolsMachine-learning log analytics. 21AIOps Tools and PlatformsAI for IT operations. 22Security Analytics ToolsSIEM and threat analytics platforms.

Related Pages

13 entries

Neighbouring directories.

23Data ScienceData science hub. 24Data EngineeringData engineering hub. 25Database SystemsDatabase systems hub. 26Machine LearningMachine learning hub. 27Knowledge EngineeringKnowledge engineering hub. 28KubernetesThe Kubernetes platform. 29The IoT ParadigmIoT hub. 30Artificial IntelligenceAI hub. 31Data Lakehouse PlatformsLakehouse platforms and the open table formats, catalogs and engines beneath them. 32Cloud Data WarehousesCloud data warehouse services and real-time analytical databases. 33Big Data ComputingBig data concepts, platforms and learning resources. 34Apache Kafka ResourcesDocumentation, managed services, tools and learning resources for Apache Kafka. 35Streaming DatabasesDatabases that keep SQL results continuously up to date over streaming data.

Frequently Asked Questions

What is data analytics?

Data analytics is the process of examining data to find patterns and inform decisions, ranging from reporting on what happened to predicting what will happen.

What is the difference between batch and streaming analytics?

Batch analytics processes stored data on a schedule; streaming analytics processes events continuously as they arrive for near-real-time results.

What is edge analytics?

Analysing data close to where it is produced, such as on devices or gateways, to cut latency and bandwidth.

What is unstructured data analytics?

Analysing speech, audio, video, images and text, which need transcription, vision or language models before they can be measured.

How does analytics relate to data science?

Analytics focuses on describing and explaining data and reporting it; data science adds predictive modelling. See the Data Science hub.