Top 15 Big Data Tools and Software (Open Source) 2022

Today’s market is flooded with an array of Big Data tools and technologies. They bring cost efficiency, better time management into the data analytical tasks.

Here is the list of best big data tools and technologies with their key features and download links. This big data tools list includes handpicked tools and softwares for big data.

Best Big Data Tools and Software

Name	Price	Link
Hadoop	Free	Learn More
Atlas.ti	30-Days Free Trial + Paid Plan	Learn More
HPCC	Free	Learn More
Storm	Free	Learn More

1) Hadoop:

The Apache Hadoop software library is a big data framework. It allows distributed processing of large data sets across clusters of computers. It is one of the best big data tools designed to scale up from single servers to thousands of machines.

Features:

• Authentication improvements when using HTTP proxy server
• Specification for Hadoop Compatible Filesystem effort
• Support for POSIX-style filesystem extended attributes
• It has big data technologies and tools that offers robust ecosystem that is well suited to meet the analytical needs of developer
• It brings Flexibility In Data Processing
• It allows for faster data Processing

Download link: https://hadoop.apache.org/releases.html

---

2) Atlas.ti

Atlas.ti is all-in-one research software. This big data analytic tool gives you all-in-one access to the entire range of platforms. You can use it for qualitative data analysis and mixed methods research in academic, market, and user experience research.

Features:

• You can export information on each source of data.
• It offers an integrated way of working with your data.
• Allows you to rename a Code in the Margin Area
• Helps you to handle projects that contain thousands of documents and coded data segments.

---

3) HPCC:

HPCC is a big data tool developed by LexisNexis Risk Solution. It delivers on a single platform, a single architecture and a single programming language for data processing.

Features:

• It is one of the Highly efficient big data tools that accomplish big data tasks with far less code.
• It is one of the big data processing tools which offers high redundancy and availability
• It can be used both for complex data processing on a Thor cluster
• Graphical IDE for simplifies development, testing and debugging
• It automatically optimizes code for parallel processing
• Provide enhance scalability and performance
• ECL code compiles into optimized C++, and it can also extend using C++ libraries

Download link: https://hpccsystems.com/try-now

---

4) Storm:

Storm is a free big data open source computation system. It is one of the best big data tools which offers distributed real-time, fault-tolerant processing system. With real-time computation capabilities.

Features:

• It is one of the best tool from big data tools list which is benchmarked as processing one million 100 byte messages per second per node
• It has big data technologies and tools that uses parallel calculations that run across a cluster of machines
• It will automatically restart in case a node dies. The worker will be restarted on another node
• Storm guarantees that each unit of data will be processed at least once or exactly once
• Once deployed Storm is surely easiest tool for Bigdata analysis

Download link: http://storm.apache.org/downloads.html

---

5) Qubole:

Qubole Data is Autonomous Big data management platform. It is a big data open source tool which is self-managed, self-optimizing and allows the data team to focus on business outcomes.

Features:

• Single Platform for every use case
• It is an Open-source big data software having Engines, optimized for the Cloud
• Comprehensive Security, Governance, and Compliance
• Provides actionable Alerts, Insights, and Recommendations to optimize reliability, performance, and costs
• Automatically enacts policies to avoid performing repetitive manual actions

Download link: https://www.qubole.com/

---

6) Cassandra:

The Apache Cassandra database is widely used today to provide an effective management of large amounts of data.

Features:

• Support for replicating across multiple data centers by providing lower latency for users
• Data is automatically replicated to multiple nodes for fault-tolerance
• It one of the best big data tools which is most suitable for applications that can’t afford to lose data, even when an entire data center is down
• Cassandra offers support contracts and services are available from third parties

Download link: http://cassandra.apache.org/download/

---

7) Stats iQ:

Stats iQ by Qualtrics is an easy-to-use statistical tool. It was built by and for big data analysts. Its modern interface chooses statistical tests automatically.

Features:

• It is a big data software that can explore any data in seconds
• Statwing helps to clean data, explore relationships, and create charts in minutes
• It allows creating histograms, scatterplots, heatmaps, and bar charts that export to Excel or PowerPoint
• It also translates results into plain English, so analysts unfamiliar with statistical analysis

Download link: https://www.qualtrics.com/au/iq/stats-iq/

---

8) CouchDB:

CouchDB stores data in JSON documents that can be accessed web or query using JavaScript. It offers distributed scaling with fault-tolerant storage. It allows accessing data by defining the Couch Replication Protocol.

Features:

• CouchDB is a single-node database that works like any other database
• It is one of the big data processing tools that allows running a single logical database server on any number of servers
• It makes use of the ubiquitous HTTP protocol and JSON data format
• Easy replication of a database across multiple server instances
• Easy interface for document insertion, updates, retrieval and deletion
• JSON-based document format can be translatable across different languages

Download link: http://couchdb.apache.org/

---

9) Pentaho:

Pentaho provides big data tools to extract, prepare and blend data. It offers visualizations and analytics that change the way to run any business. This Big data tool allows turning big data into big insights.

Features:

• Data access and integration for effective data visualization
• It is a big data software that empowers users to architect big data at the source and stream them for accurate analytics
• Seamlessly switch or combine data processing with in-cluster execution to get maximum processing
• Allow checking data with easy access to analytics, including charts, visualizations, and reporting
• Supports wide spectrum of big data sources by offering unique capabilities

Download link: https://www.hitachivantara.com/en-us/products/data-management-analytics/pentaho/download-pentaho.html

---

10) Flink:

Apache Flink is one of the best open source data analytics tools for stream processing big data. It is distributed, high-performing, always-available, and accurate data streaming applications.

Features:

• Provides results that are accurate, even for out-of-order or late-arriving data
• It is stateful and fault-tolerant and can recover from failures
• It is a big data analytics software which can perform at a large scale, running on thousands of nodes
• Has good throughput and latency characteristics
• This big data tool supports stream processing and windowing with event time semantics
• It supports flexible windowing based on time, count, or sessions to data-driven windows
• It supports a wide range of connectors to third-party systems for data sources and sinks

Download link: https://flink.apache.org/

---

11) Cloudera:

Cloudera is the fastest, easiest and highly secure modern big data platform. It allows anyone to get any data across any environment within single, scalable platform.

Features:

• High-performance big data analytics software
• It offers provision for multi-cloud
• Deploy and manage Cloudera Enterprise across AWS, Microsoft Azure and Google Cloud Platform
• Spin up and terminate clusters, and only pay for what is needed when need it
• Developing and training data models
• Reporting, exploring, and self-servicing business intelligence
• Delivering real-time insights for monitoring and detection
• Conducting accurate model scoring and serving

Download link: https://www.cloudera.com/

---

12) Openrefine:

Open Refine is a powerful big data tool. It is a big data analytics software that helps to work with messy data, cleaning it and transforming it from one format into another. It also allows extending it with web services and external data.

Features:

• OpenRefine tool help you explore large data sets with ease
• It can be used to link and extend your dataset with various webservices
• Import data in various formats
• Explore datasets in a matter of seconds
• Apply basic and advanced cell transformations
• Allows to deal with cells that contain multiple values
• Create instantaneous links between datasets
• Use named-entity extraction on text fields to automatically identify topics
• Perform advanced data operations with the help of Refine Expression Language

Download link: https://openrefine.org/download.html

---

13) Rapidminer:

RapidMiner is one of the best open source data analytics tools. It is used for data prep, machine learning, and model deployment. It offers a suite of products to build new data mining processes and setup predictive analysis.

Features:

• Allow multiple data management methods
• GUI or batch processing
• Integrates with in-house databases
• Interactive, shareable dashboards
• Big Data predictive analytics
• Remote analysis processing
• Data filtering, merging, joining and aggregating
• Build, train and validate predictive models
• Store streaming data to numerous databases
• Reports and triggered notifications

Download link: https://my.rapidminer.com/nexus/account/index.html#downloads

---

14) DataCleaner:

DataCleaner is a data quality analysis application and a solution platform. It has strong data profiling engine. It is extensible and thereby adds data cleansing, transformations, matching, and merging.

Feature:

• Interactive and explorative data profiling
• Fuzzy duplicate record detection
• Data transformation and standardization
• Data validation and reporting
• Use of reference data to cleanse data
• Master the data ingestion pipeline in Hadoop data lake
• Ensure that rules about the data are correct before user spends thier time on the processing
• Find the outliers and other devilish details to either exclude or fix the incorrect data

Download link: https://github.com/datacleaner

---

15) Kaggle:

Kaggle is the world’s largest big data community. It helps organizations and researchers to post their data & statistics. It is the best place to analyze data seamlessly.

Features:

• The best place to discover and seamlessly analyze open data
• Search box to find open datasets
• Contribute to the open data movement and connect with other data enthusiasts

Download link: https://www.kaggle.com/

---

16) Hive:

Hive is an open source big data software tool. It allows programmers analyze large data sets on Hadoop. It helps with querying and managing large datasets real fast.

Features:

• It Supports SQL like query language for interaction and Data modeling
• It compiles language with two main tasks map, and reducer
• It allows defining these tasks using Java or Python
• Hive designed for managing and querying only structured data
• Hive’s SQL-inspired language separates the user from the complexity of Map Reduce programming
• It offers Java Database Connectivity (JDBC) interface

Download link: https://hive.apache.org/downloads.html

FAQ:

💻 What is Big Data Software?

🚀 Which are the Best Big Data Tools?

⚡ Which factors should you consider while selecting a Big Data Tool?