Apache Chukwa Alternatives & Competitors

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Key Amazon EMR features:

Scalability Cost-effectiveness Ease of Use Managed Service

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Key Google Cloud Dataflow features:

Scalability Fully Managed Unified Programming Model Integration

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Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Key Looker features:

Powerful Data Modeling Ease of Use Customization Embedded Analytics

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Key Apache Spark features:

Speed Ease of Use Advanced Analytics Scalability

Open Source

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Key Apache Flink features:

Real-time Stream Processing Event Time Processing State Management Fault Tolerance

Open Source

Apache Tez is aimed at building an application framework which allows for a complex directed-acyclic-graph of tasks for processing data.

Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters.

Key Apache Ambari features:

Centralized Management User-Friendly Interface Automated Installation Real-time Monitoring

Open Source

Distributed Linear Algebra.

Key Apache Mahout features:

Scalability Library of Algorithms Integration with Hadoop Open Source

Open Source

Apache Storm is a free and open source distributed realtime computation system.

Key Apache Storm features:

Real-Time Processing Scalability Fault Tolerance Broad Language Support

Open Source

Apache Oozie Workflow Scheduler for Hadoop.

Key Apache Oozie features:

Integration Flexibility Extensibility Dependency Management

Pig is a high-level platform for creating MapReduce programs used with Hadoop.

Key Apache Pig features:

Simplicity Abstracts Hadoop Complexity Extensibility Optimized Query Execution

Apache Avro is a comprehensive data serialization system and acting as a source of data exchanger service for Apache Hadoop.

Key Apache Avro features:

Schema Evolution Compact Binary Format Language Agnostic No Code Generation Required

Open Source

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

Key Apache Hive features:

Scalability SQL-like Interface Integration with Hadoop Ecosystem Schema on Read

Open Source