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Popular Big Data Tools & Platforms
Big Data ecosystems rely on a wide range of tools and platforms for data processing, real-time analytics, streaming, and cloud-scale storage. Here’s a list of some widely used tools categorized by functionality:
Distributed Processing Engines
- Apache Spark – Unified analytics engine for large-scale data processing; supports batch, streaming, and ML.
- Apache Flink – Framework for stateful computations over data streams with real-time capabilities.
Real-Time Data Streaming
- Apache Kafka – Distributed event streaming platform for building real-time data pipelines and streaming apps.
Log & Monitoring Stack
- ELK Stack (Elasticsearch, Logstash, Kibana) – Searchable logging and visualization suite for real-time analytics.
Cloud-Based Platforms
- AWS (Amazon Web Services) – Scalable cloud platform offering Big Data tools like EMR, Redshift, Kinesis, and S3.
- Azure – Microsoft’s cloud platform with tools like Azure Synapse, Data Lake, and Event Hubs.
- GCP (Google Cloud Platform) – Offers BigQuery, Dataflow, Pub/Sub for large-scale data analytics.
- Databricks – Unified data platform built around Apache Spark with powerful collaboration and ML features.
- Snowflake – Cloud-native data warehouse known for performance, elasticity, and simplicity.