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Top 20 Big Data Tools Used By Professionals in 2023

Big data analytics is the process of turning structured and unstructured data into actionable insights. This technology continues to evolve and become increasingly popular as organizations realize the value of analyzing large volumes of data. As big data analytics tools continue to advance, more and more professionals are utilizing them to gain insights and make informed decisions. Here is a list of the top 20 big data tools used by professionals in 2023.

Apache Hadoop

Apache Hadoop is one of the most popular open source big data platforms. It is used for storing large amounts of data in a distributed environment. It can process data of any type and size, including structured and unstructured data, making it ideal for businesses that have massive databases. Apache Hadoop is the foundation for other big data technologies such as Apache Storm and Apache Spark.

Apache Spark

Apache Spark is an open source big data processing framework. It is used for processing massive amounts of data faster than traditional MapReduce. It runs on top of existing Hadoop clusters, but can also run standalone. Apache Spark can be used for a variety of tasks including real-time stream processing, machine learning, and interactive analytics.

MongoDB

MongoDB is an open source NoSQL database used for storing massive amounts of data. It is highly efficient for data querying and indexing. It is used for unstructured data, which makes it ideal for storing large amounts of data in a single document. MongoDB is often used for web applications, mobile applications, content management systems, and cloud computing.

Qlik Sense

Qlik Sense is a business intelligence and analytics platform that enables users to quickly explore data, uncover insights, and make educated decisions. It offers interactive dashboards, automated workflows, and predictive analytics to help businesses make informed decisions. It is used for both small and big data analysis, making it an ideal choice for organizations of all sizes.

Apache Kafka

Apache Kafka is a distributed streaming platform. It is used for building real-time data pipelines and streaming applications. It can process millions of events per second and can be scaled horizontally. Apache Kafka is popularly used for transforming and ingesting streaming data, making it an ideal choice for stream processing applications.

Kafka Connect

Kafka Connect is an open source tool used for efficiently transferring data between Apache Kafka and other data systems. It is used for streaming data from external sources such as databases, batch files, message queues, and search engines. Kafka Connect is popularly used for reducing manual coding and increasing operational efficiency.

Amazon Redshift

Amazon Redshift is a cloud-based data warehousing service. It is used for analyzing large amounts of data quickly. It can scale up to petabytes of data and supports a variety of data formats. Amazon Redshift is popularly used for powering data warehouses and enterprise analytics.

Apache Flink

Apache Flink is an open source stream processing technology used for real-time data analysis. It can process large volumes of data at high speeds and is capable of running on multiple nodes. Apache Flink is used for detecting trends, correlations, and anomalies in streaming data.

Apache Solr

Apache Solr is an open source enterprise search platform. It is used for searching text across multiple data sources. It is compatible with a variety of documents and can scale to billions of documents. Apache Solr is popularly used for real-time search, faceted navigation, and geospatial search.

Apache Mahout

Apache Mahout is a scalable machine learning library used for creating intelligent applications. It is used for clustering, classification, and recommendation algorithms. Apache Mahout is often used for creating personalized recommendations, contextual advertisement, predicting customer churn, and detecting fraud.

Apache Kylin

Apache Kylin is an open source OLAP (online analytical processing) engine used for big data analysis. It is used for creating interactive dashboards and generating reports. Apache Kylin is popularly used for data exploration, trend analysis, and predictive analytics.

Apache Storm

Apache Storm is an open source distributed streaming platform used for processing real-time data streams. It is used for real-time event processing, stream analytics, and complex event processing. Apache Storm is popularly used for analyzing social media streams, collecting user interactions, and managing complex workflows.

Cassandra

Cassandra is an open source distributed storage system used for powering big data applications. It is used for storing and managing large amounts of data in a distributed environment. Cassandra is popularly used for powering large-scale web applications, mobile applications, and IoT devices.

RabbitMQ

RabbitMQ is an open source message broker used for exchanging messages between processes, applications, and servers. It can be used for a variety of use cases including streaming data, messaging applications, and task scheduling. RabbitMQ is popularly used for building distributed systems and microservices architectures.

Apache Impala

Apache Impala is an open source SQL query engine used for querying large data stored in Hadoop clusters. It is used for real-time, interactive queries of Hadoop data. Apache Impala is popularly used for data exploration, rapid iteration, and ad-hoc analytics.

Kubernetes

Kubernetes is an open source container orchestration system used for deploying and managing applications in a distributed environment. It is used for deploying and managing distributed applications and containers. Kubernetes is popularly used for cloud-native applications, microservices, and containerized workloads.

Databricks

Databricks is a cloud-based data analytics platform used for building and managing big data applications. It is used for exploring and visualizing data, building machine learning models, and running production jobs. Databricks is popularly used for streaming analytics, advanced analytics, and machine learning.

Apache Airflow

Apache Airflow is an open source workflow automation system used for scheduling and managing complex data pipelines. It is used for orchestrating ETL jobs, data pipelines, and ML models. Apache Airflow is popularly used for automating workflows, managing dependencies, and monitoring job progress.

Pentaho Data Integration

Pentaho Data Integration is an open source big data integration and analytics platform. It is used for extracting, transforming, and loading large amounts of data. Pentaho Data Integration is popularly used for creating data warehouses, ETL jobs, and data pipelines.