In the world of smart gadgets, every small device to enterprise-class machines are generating lots of data and this leads to the evolution of the term BIG DATA. Now that Big Data is here & it becomes a big task to handle for large enterprises. But a big problem means a big solution and to solve this Open source is here, there are many open source tools available, those can easily help small to big enterprises in Big Data Analysis. Open source tools now become a leading name in terms of big data solutions, business intelligence, predictive analytics, eCommerce, and more. There are a lot of open-source data analysis apps and all have their USP.
Most tools available for big data analytics are open source and Apache is the one leading in that space. Today, here we have featured top open-source data analytics software solutions. All these big data analytics tools are built to handle enterprise-level requirements. Here are some top Open source Big Data Analytic Tools.
1. Hadoop
The Apache Hadoop is a big name in the Big Data world and does not need any introduction. Hadoop is a framework that uses for the distributed processing of large data sets across clusters of computers. It uses simple programming models. The Hadoop can scale up from a single server to thousands of machines along with local computation and storage. The framework is designed to detect and handle the failures at the application layer instead of relying on hardware to deliver high availability.
2. Spark: open-source data analysis app
Spark is also an Apache project that promises to run programs up to 100x times faster than Hadoop MapReduce in memory, or 10x faster on the disk. Apache Spark DAG execution engine is one of the advanced execution engines that supports acyclic data flow and in-memory computing. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. For more info.
3. Talend
Talend is an open-source project but run by a company for profit rather than a foundation like Apache. Talend offers both commercial products as well as free products to balance the demands. The free and open-source product of Talend is called Talend Open studio which comprises:– Open Studio for Big Data, Open Studio for Data Integration, Open Studio for Data Quality, Open Studio for ESB, and Open Studio for MDM. Download Talend Data Analytics.
4. Jaspersoft: open source data analysis app
Jaspersoft is an open-source business intelligence tool just like Talend offers both commercial paid and free products. The comes in multiple editions both free and paid. The business intelligence software edition it offers are Community ( free and Opensource edition) and the rest of the editions that are paid are Reporting, AWS, Professional, and Enterprise editions. Download Jaspersoft
5. RapidMiner
On the website of RapidMiner, they have claimed that they are the number 1 open source data science platform and leader in the new 2017 Gartner Magic Quadrant for Data Science Platforms. It delivers a collaborative analytics platform for high-value data science. RadipMiner Platform comprises 3 different modules-
- RapidMiner Studio
- RapidMiner Server
- RapidMiner Radoop
All three comes under open source and comes with both free and paid license. Initially, all three modules are free(depending on the users). Download RapidMiner.
6. Storm
Apache Storm is another free and open-source data analysis app that is known for its real-time processing. It can be used with any programming language. It can use for many purposes such as real-time data analytics, online machine learning, distributed RPC, continuous computation, ETL, and more. It is scalable, fault-tolerant has fast processing capabilities, and is easy to operate and deploy. Apache Storm free and open-source distributed real-time computation system used by many big names such as Flipboard, Yahoo, Twitter, Spotify, and more. Download Apache storm.
7. H2O
The H2O website claims that it is the #1 world Open-source Artificial intelligence (AI) or machine learning platform. It uses an in-memory technology that offers fast performance. The H2O machine learning and predictive analytics software is completely written from scratch in Java and seamlessly integrates with the most popular open-source products like Apache Hadoop and Spark. H2O can easily deploy anywhere in the cloud, on-premise, on workstations, servers, or clusters. Download H2o
8. Lumify: open source data analysis app
Lumify is an open-source big data analysis and visualization platform. Lumify can easily analyze relationships between entities and establish links in 2D or 3D. Aso on the Lumify website offers some videos to understand how Lumify works. The videos are Lumify Graph Visualization, Lumify Map Integration, Lumify Search, and Lumify Detail Pane. Download Lumify.
9. Apache Drill
Apache Drill is a schema-free SQL Query Engine for Hadoop, NoSQL, and Cloud Storage. Apache Drill supports multifarious NoSQL databases and file systems such as Google Cloud Storage, Swift, NAS HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, and local files. Download Apache Drill.
10. HPCC System
HPCC Systems is an open-source, parallel-processing computing platform for big data processing and analytics. It offers a standard-based web interface to query data. It can run on commodity hardware, a built-in distributed file system, scales out to thousands of nodes and is fault resilient. Download HPCC Systems
Also, read:
There’s another promising Opensource Big data Analytics Platform.
Check out, this Metatron Discovery : metatron.app
It is an end-to-end solution, providing various types of connections like MySQL, PostgreSQL, Hive, Druid, Oracle, etc.,