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CDAP vs Singer: What are the differences?
# Introduction
This Markdown code outlines the key differences between CDAP and Singer for website implementation.
1. **Architecture**: CDAP is an integrated data application platform that provides a unified view of data for processing and analytics, while Singer is a data ingestion framework that focuses on extracting data from various sources and loading it into data warehouses or lakes.
2. **Scalability**: CDAP is designed for enterprise-level scalability, offering features like data governance, security, and data lineage, whereas Singer is more lightweight and suitable for smaller data integration tasks.
3. **Data Transformation**: CDAP enables users to transform and enrich data within the platform using its built-in tools, whereas Singer primarily focuses on extracting and loading data with minimal transformation capabilities.
4. **Plugin Ecosystem**: CDAP has a rich ecosystem of plugins that extend its functionality for various data processing tasks, while Singer relies on a plugin-based architecture for connecting to different data sources and destinations.
5. **Real-time Processing**: CDAP supports real-time data processing and streaming capabilities, making it suitable for applications that require low latency, whereas Singer is more suited for batch processing jobs.
6. **Community Support**: CDAP has strong community support and active development, with a dedicated team behind the project, while Singer, although widely used, may have limited support and resources for troubleshooting and enhancements.
In Summary, the key differences between CDAP and Singer lie in their architecture, scalability, data transformation capabilities, plugin ecosystem, real-time processing support, and community backing.
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What is CDAP?
Cask Data Application Platform (CDAP) is an open source application development platform for the Hadoop ecosystem that provides developers with data and application virtualization to accelerate application development, address a broader range of real-time and batch use cases, and deploy applications into production while satisfying enterprise requirements.
What is Singer?
Singer powers data extraction and consolidation for all of your organization’s tools: advertising platforms, web analytics, payment processors, email service providers, marketing automation, databases, and more.
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What companies use CDAP?
What companies use Singer?
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What tools integrate with CDAP?
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What are some alternatives to CDAP and Singer?
Airflow
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Akutan
A distributed knowledge graph store. Knowledge graphs are suitable for modeling data that is highly interconnected by many types of relationships, like encyclopedic information about the world.
Apache NiFi
An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
StreamSets
An end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps.