AresDB vs Apache Spark: What are the differences?
AresDB: A GPU-powered real-time analytics storage and query engine (by Uber). AresDB is a GPU-powered real-time analytics storage and query engine. It features low query latency, high data freshness and highly efficient in-memory and on disk storage management; Apache Spark: Fast and general engine for large-scale data processing. 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.
AresDB and Apache Spark can be primarily classified as "Big Data" tools.
AresDB and Apache Spark are both open source tools. Apache Spark with 22.5K GitHub stars and 19.4K forks on GitHub appears to be more popular than AresDB with 1.98K GitHub stars and 126 GitHub forks.
What is AresDB?
What is Apache Spark?
Why do developers choose AresDB?
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Spark is good at parallel data processing management. We wrote a neat program to handle the TBs data we get everyday.