4 Open Source Big Data Databases will create a revolution in software businesses

Open source is the term for software products that are public source (source code). Users do not have to pay any cost, moreover they have the right to view, modify, improve, upgrade according to some general principles specified in the license of open source software – General Public License – GPL. And open Source Big Data Databases has created the most important trends in software development.

The following 4 open source big data databases are considered to have great potential to enable software companies to respond quickly to the needs of customers, businesses and market challenges.

Apache Beam

Apache Beam is a project model with the name of a combination of terms used for batch data processing and flow-based data processing. Apache Beam is a single model for both cases.

According to the Beam model, you only need to design a single data pipeline once and then select from many other processing platforms. The enterprise data pipeline is mobile and flexible so that businesses can choose to create flow-based processing or batch processing.

In this way, the company can benefit from the flexibility of reusing data pineline and selecting the right processing tool for specific situations.

Apache Airflow

Apache Airflow is an ideal platform for automated and intelligent planning of Beam pipeline to optimize processes and organization of projects.

Among the useful capabilities and features, the pipelines are shaped through moving code render and Geometric functions with visual graphics for DAG – Directed Acyclic Graphs and Tasks. In case of a problem, Airflow is able to run the DAG template again.

Apache Cassandra

Apache Cassandra is a multi-master and flexible database which allows replacing faulty buttons without stopping any parts. This is a NoSQL database that minimizes system disruption and is scalable.

Unlike traditional RDBMS and some other NoSQL databases, Apache Cassandra is designed without a Master-slave structure, all nodes have the same role and do not cause disruption to the system. That makes this database easy to expand to enhance computing power without any application downtime.


Tensor Flow is an extremely popular open source library for smart computers, allowing for more advanced analysis on a large scale.

TensorFlow is designed for large-scale distributed training and reasoning, but it is also flexible enough to support testing with new machine learning models and optimizing according to system level.

The original TensorFlow was developed by the Google Brain team for Google research and production purposes and was released under the Apache 2.0 open source license on November 9, 2015.

The impression is that each of these Open Source Big Data Databases is separate, which is collective progress that best illustrates the tremendous impact of the open source community on businesses. And tremendous change from old and exclusive software systems to open source-based systems, enabling businesses of all sizes in all industries to increase speed, flexibility and insights that are driven by data in every organization level.

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