Apache Gora
vs
Apache Spark
Apache Gora
Apache Spark
What is Apache Gora?
The open source framework Apache Gora provides an in-memory data model and persistence for big data. Apache Gora supports persisting to column stores, key value stores, document stores and RDBMSs, and analyzing the data with extensive Apache Hadoop MapReduce support. As data modeling in NoSQL data stores differ profoundly from their relational cousins, Apache Gora was created to fill the gap by giving the user an easy-to-use in-memory data model and persistence for big data framework with data store specific mappings and built in Apache Hadoop support.
How much does Apache Gora cost?
No pricing information available..
What platforms does Apache Gora support?
Top Apache Gora Alternatives
Apache Flink
Apache Flink is a free and open-source stream framework used for processing big data. The software is developed openly by the Apache Software Foundation and the community. The core of Apache Flink is written in Java and Scala as a distributed streaming data-flow engine. Data-flows executed by Flink programs are pipelined and run parallel to maximize efficiency.
The software
Apache Spark
is removed from the Top Apache Gora Alternatives since you are comparing against it.
If you are looking for more software, applications or projects similar to
Apache Gora
we recommend you to check out our full list containing 2 Apache Gora Alternatives.
Apache Gora Gallery
What is Apache Spark?
Apache Spark is a free and open-source, unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. With Apache Spark, you can write application quickly in Java, Scala, Python, R, and SQL. Spark also offers over 80 high-level operators that make it easy to build parallel apps. You can run Apache Spark anywhere, as a standalone product, in the cloud or on Hadoop, Apache Mesos or Kubernetes.
How much does Apache Spark cost?
No pricing information available..
What platforms does Apache Spark support?
Top Apache Spark Alternatives
Apache Flink
Apache Flink is a free and open-source stream framework used for processing big data. The software is developed openly by the Apache Software Foundation and the community. The core of Apache Flink is written in Java and Scala as a distributed streaming data-flow engine. Data-flows executed by Flink programs are pipelined and run parallel to maximize efficiency.
Apache Storm
Apache Storm makes it easy to reliably process unbounded streams of data for real-time processing. It is a distributed stream processing computation framework written predominantly in the programming language Clojure. The software is released free and open-source under the Apache License. In a nutshell, Apache Storm does to real-time processing, what Apache Hadoop did to bactch processing. Large corporations like Weather Channel, FullContact, Twitter, Yahoo, Spotify, and Alibaba use and trust Apache Storm for big data analytics with fault-tolerance and fast data processing.
Apache Hadoop
Apache Hadoop is a free and open source software library that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Apache Hadoop is designed to scale well, from single servers to thousands of machines offering local computation and storage. With Apache Hadoop you can store any kind of data and utilize the enormous processing power with the ability to handle virtually limitless concurrent tasks or jobs.
The software
Apache Gora
is removed from the Top Apache Spark Alternatives since you are comparing against it.
If you are looking for more software, applications or projects similar to
Apache Spark
we recommend you to check out our full list containing 5 Apache Spark Alternatives.