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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, forecasting, media analytics for speech, audio, video, image and text, and log, AIOps and security analytics, with open-source tools and related guides on data engineering, quality and governance.

44 topics•5 categories•Updated November 2026

Big Data, Streaming & Cloud Analytics

8 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. 07Real-time Data Analytics PlatformsPlatforms for analysing data as it arrives. 08Time Series Databases (TSDBs)Databases for storing and querying time series data.

BI, Digital & Forecasting

10 entries

Reporting, behaviour and prediction.

09Analytics & Business Intelligence PlatformsSelf-service BI and enterprise analytics suites. 10Digital Analytics SolutionsWeb, app and product analytics. 11Data Fabric Solutions & SoftwareData fabric platforms. 12Data Integration ToolsETL, ELT and data integration tools. 13BI Tools & DashboardsEnterprise and open-source BI, code-first dashboards, semantic layers, AI analytics, embedding and dashboard design guidance. 14Time-Series Forecasting ModelsMoving averages, ARIMA, Prophet and other forecasting models. 15Time Series Foundation ModelsTimestral, Chronos, TimesFM and other forecasting foundation models. 16Semantic Layers & Metric StoresShared metric definitions for BI and AI. 17Data QualityData quality tools and practices. 18Data and Analytics Governance PlatformsGovernance platforms for data and analytics teams.

Speech, Audio, Video, Image & Text Analytics

6 entries

Analysing unstructured and media data.

19Speech Analytics PlatformsPlatforms that transcribe and analyse voice interactions. 20Speech Analytics ModulesEmbeddable speech analytics modules and APIs. 21Audio Data Analytics SolutionsAudio analytics solutions. 22Video Data Analytics SolutionsVideo analytics solutions. 23Image Data Analytics SolutionsImage analytics solutions. 24Text Data Analytics SolutionsText analytics solutions.

Log, AIOps & Security Analytics

6 entries

Analytics for IT operations and security.

25Log Analytics & Management ToolsTools for collecting, searching and analysing logs. 26AI-Powered Log Analytics ToolsMachine-learning log analytics. 27AIOps Tools and PlatformsAI for IT operations. 28Security Analytics ToolsSIEM and threat analytics platforms. 29Observability ToolsOpenTelemetry, Grafana, Datadog and other observability platforms. 30SIEM SoftwareSecurity information and event management platforms.

Open BI & Analytics Tools

9 entries

Open tools and learning.

31Apache SupersetOpen-source BI. 32MetabaseOpen-source analytics. 33pandasData analysis library. 34DuckDBIn-process analytical database. 35R for Data ScienceFree book. 36Kimball TechniquesDimensional modelling. 37PolarsFast DataFrame library for analytics in Python and Rust. 38dbtSQL-based transformation and testing for analytics engineering. 39ClickHouseColumn-oriented database for fast analytical queries.

Related Pages

5 entries

Neighbouring directories.

40Data ScienceData science hub. 41Data EngineeringData engineering hub. 42Visual AnalyticsVisual analytics hub. 43Real-Time Data AnalyticsGuide to real-time analytics architecture, streaming engines, OLAP stores and governance. 44Data WarehousingWarehouse concepts and platforms.

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.

What are the four types of data analytics?

Descriptive analytics explains what happened, diagnostic analytics explains why, predictive analytics estimates what is likely to happen, and prescriptive analytics recommends what to do. Most programmes combine all four, moving from dashboards to forecasting and decision support.