Here’s a comprehensive list of Data Analytics Tools, categorized by their functionality:
1. Business Intelligence (BI) & Data Visualization
- Tableau
- Power BI
- Google Looker Studio (formerly Data Studio)
- Qlik Sense
- GoodData
- MicroStrategy
- TIBCO Spotfire
- Mode Analytics
- Domo
- Sisense
- Kibana (Elastic Stack)
- Grafana
- SAP BusinessObjects
2. Data Processing & ETL (Extract, Transform, Load)
- Apache NiFi
- Apache Airflow
- Talend
- Informatica
- Fivetran
- Matillion
- Stitch
- Alteryx
- Hevo Data
- AWS Glue
- Google Dataflow
- Azure Data Factory
- Pentaho
3. Databases & Data Warehousing
- Amazon Redshift
- Google BigQuery
- Snowflake
- Microsoft Azure Synapse Analytics
- PostgreSQL
- MySQL
- MongoDB
- Cassandra
- Elasticsearch
- ClickHouse
- DuckDB
- Vertica
4. Machine Learning & AI Analytics
- TensorFlow
- PyTorch
- Scikit-learn
- H2O.ai
- Google Vertex AI
- Amazon SageMaker
- Azure Machine Learning
- DataRobot
- MLflow
- IBM Watson
5. Big Data & Distributed Analytics
- Apache Spark
- Hadoop
- Apache Flink
- Dask
- Presto (Trino)
- Kafka Streams
- Google Dataproc
- Azure HDInsight
6. Data Integration & API Automation
- Zapier
- Retool
- Pipedream
- Make (Integromat)
- Google Cloud Workflows
- MuleSoft Anypoint Platform
- Boomi
- Tray.io
7. Spreadsheet-Based Analytics
- Microsoft Excel
- Google Sheets
- Airtable
- Zoho Analytics
- Smartsheet
8. Statistical & Programming-Based Analytics
- R (RStudio, Shiny)
- Python (Pandas, NumPy, SciPy)
- MATLAB
- SAS
- SPSS
- Julia
- Stata
9. Cloud-Based Data Analytics Platforms
- Google Analytics
- Adobe Analytics
- Mixpanel
- Heap Analytics
- Amplitude
- Segment
- Looker (Google Cloud)
10. Marketing & Web Analytics
- Google Tag Manager
- Facebook Analytics
- SEMrush
- Ahrefs
- Moz
- Hotjar
- Crazy Egg
11. No-Code & Low-Code Analytics
- Metabase
- Google Looker
- Causal
- Explorium
- QuickSight (AWS)
- AutoML (Google Cloud, AWS, Azure)
Would you like a breakdown of specific tools for your use case?
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