AresDB
AresDB

10
28
+ 1
0
Apache Spark
Apache Spark

1.6K
1.7K
+ 1
112
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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?

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.

What is 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.
Why do developers choose AresDB?
Why do developers choose Apache Spark?
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      What tools integrate with AresDB?
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        What are some alternatives to AresDB and Apache Spark?
        Splunk
        It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
        Amazon Athena
        Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
        Apache Flink
        Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
        Apache Hive
        Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
        Druid
        Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
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        Reviews of AresDB and Apache Spark
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        How developers use AresDB and Apache Spark
        Avatar of Wei Chen
        Wei Chen uses Apache SparkApache Spark

        Spark is good at parallel data processing management. We wrote a neat program to handle the TBs data we get everyday.

        Avatar of Ralic Lo
        Ralic Lo uses Apache SparkApache Spark

        Used Spark Dataframe API on Spark-R for big data analysis.

        Avatar of Kalibrr
        Kalibrr uses Apache SparkApache Spark

        We use Apache Spark in computing our recommendations.

        Avatar of Dotmetrics
        Dotmetrics uses Apache SparkApache Spark

        Big data analytics and nightly transformation jobs.

        Avatar of brenoinojosa
        brenoinojosa uses Apache SparkApache Spark

        Data retrieval and analysis of Cassandra.

        How much does AresDB cost?
        How much does Apache Spark cost?
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