The Big Data Processing And Distribution Systems solutions below are the most common alternatives that users and reviewers compare with Amazon EMR. Big Data Processing And Distribution Systems is a widely used technology, and many people are seeking quick, powerful software solutions with hadoop integration, machine scaling, and cloud processing. Other important factors to consider when researching alternatives to Amazon EMR include reliability and ease of use. The best overall Amazon EMR alternative is Snowflake. Other similar apps like Amazon EMR are Databricks Data Intelligence Platform, Qubole, Google Cloud Dataproc, and Azure HDInsight. Amazon EMR alternatives can be found in Big Data Processing And Distribution Systems but may also be in Data Warehouse Solutions or Big Data Integration Platforms.
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.
Making big data simple
Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds
HDInsight is a fully-managed cloud Hadoop offering that provides optimized open source analytic clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and R Server backed by a 99.9% SLA.
Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.
Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness.
Apache Beam is an open source unified programming model designed to define and execute data processing pipelines, including ETL, batch and stream processing.
Hadoop Distribution