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Every large organization operates with big data. It solidifies their position at the frontlines in their industries. Big data enable an organization to save costs, reduce decision-making time, understand market conditions faster, control their online reputation, and boost customer acquisition and customer retention. But without effective tools to process and analyze big data, it’s as good as nothing. That’s why every organization must utilize the best big data platform to achieve speed and maintain a competitive advantage over competitors.

In this article, we’re going to explore the top ten open source data platforms out there for your big data collection and analysis. Our list didn’t follow any form of pattern.so, you can consider each one and select the best that matches your business needs.

Cloudera

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Cloudera is an enterprise cloud solution that enables organizations to overcome the overwhelming challenges in cloud computing. Cloudera allows organizations to boost their businesses and gain valuable insight into the needs of their customers. Organizations can focus on resources and also improve customer experience with the Cloudera cloud solution. Business owners can easily understand, manage, and track their data effectively. It offers one of the most reliable cloud computing solutions, and it offers security, ease of use, fast performance, and designed to solve a complex and simple task.

Features of Cloudera

  • Seamless resource management
  • Fast client configuration management
  • Automated and fast deployment
  • LDAP, Kerberos authentication
  • Diagnostics and monitoring
  • Supports vast operating systems  

Elastic

Elastic is a SaaS cloud solution that makes it easy for organizations to operate, deploy, and scale their solutions on the cloud. It provides an easy to use hosted environment and offers a very good user experience. Today’s business dynamics requires agility and modernity in other to share information easily on the cloud. Organizations require a lot of flexibility and security, which Elastic cloud offers. Elastic cloud offers both physical and virtual servers meaning physical damage to a server would not affect your documents on the cloud.

Features of Elastic

  • Access to both Physical and Virtual Server.
  • Easy to use and highly scalable
  • Fast and easy deployment
  • Cost-effective
  • Security (Marvel) and Monitoring features
  • Watcher alert system
  • Kibana virtualization
  • Easy resource matching and scheduling 

StreamSets

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StreamSets offers a reliable and secure cloud computing solution that can enable organizations to build data warehouse conveniently. Data security is a major challenge for organizations today, and Steamsets offers one of the best critical and application data securities for enterprises. Organizations can work with more data on the cloud without compromising security. If you are looking for ways to accelerate your data warehouse deployment on the cloud, then Stremsets offers one of the best and safest solutions today. Enterprises can design, monitor, and analyze their pipelines. Pipelines can access many types of external systems such as Amazon s3 cloud, Google cloud, conventional cloud, and lots more.

Features of StreamSet

  • Excellent user interface with drag and drop features
  • No coding is required
  • Automated workflow
  • PII detection using pattern matching
  • Virtual user interface to design and deployment
  • Designing and build pipelines 

Docker

Docker is a cloud solution that is empowering and streamlining app development for developers. It helps people and organizations securely build and share their mobile apps from any location at any time. Docker has several frameworks, which include Docker Hub and Docker desktop. It uses containers to enable developers to rub, test, and deploy applications on the cloud. With a container, a developer can package an application with its internal components such as dependencies and class libraries. This means the application would be packaged in one set and sent out, which enables it to run on any other Linux machine. Docker is an open-source system and can be used by both developers and system administrators.

Features of Docker

  • Secured Docker containers
  • Speed and reliability
  • Scalability
  • Rapid deployments
  • Fast return on investment
  • Maintainability and compatibility
  • Fast configuration and simplicity
  • Allows for multi-cloud platforms 

Redis Cache

Redis Cache is an open-source cloud solution that can enable you to build a powerful and robust database free of charge. It supports data structures such as strings, hashes, sorted setssets, and lists. It also makes use of range queries such as bitmaps, geospatial indexes, hyperloglogs. Redis Cache achieves an outstanding performance by working with an in-memory dataset.

Features of Redis Cache

  • Automatic failover
  • LRU eviction of keys
  • Pub-sub server functions
  • Easy and reliable data distribution
  • Widely supported
  • Easy to understand and configure
  • Comes with keys with limited time to deliver
  • Quick key lookup functions
  • Ability to run Lua scripts server-side to improve bandwidth and latency
  • Seamless transaction

MariaDB

MariaDB is an open-source platform that offers a modern SQL database for organizations. You can now overcome cost challenges, complexity, and constraints that come with other cloud-based database systems. MariaDB allows you to concentrate on the things that matter most, which is to innovate and develop your database applications easily on the cloud. MariaDB is user-centric and built on core values such as stability, performance, and transparency. It is cloud-based and offers all the features of MySQL plus other amazing capacities.

Features of MariaDB

  • Offers RDBMS data sources and high-performance data storage engines
  • Comes under LGPL, GPL or BSD
  • Uses a popular querying language
  • Supports many programming languages
  • Runs on lots of operating systems
  • Supports PHP and offers Galera cluster technology

InfluxDB

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Here is another open-source big data tool you shouldn’t ignore in 2020. This tool is written in GO and is suitable for time-series data. The installation of InfluxDB is very straightforward, and using TICK suites such as Chronograf, Telegraf, Kapacitor, or Influx, will ensure powerful performance. Moreover, InfluxDB’s data structure is more like the structure of SQL DB. It’s your best option for telemetry data.

Features of InfluxDB

  • Offers a high-performance datastore suitable for time-series data
  • Allows for data compression and high ingest speed
  • The language is GO
  • Features plugins that support other protocols such as OpenTSDB, Graphite, collected, etc.
  • Provides tags that enable series indexing for efficient queries
  • SQL-like language customized for query aggregated data.

Apache Airflow

This is an open-source platform that ensures a seamless authoring, scheduling, and monitoring of workflows. It aids large organizations to manage their ever-increasing workflows that are too complex to manage manually. Airflow is scalable with a modular architecture. The scheduler carries out the tasks on arrays of workers by following the defined dependencies. This platform uses DAGs (directed acyclic graphs) to manage a company’s workflow orchestration. Once the tasks and dependencies are clearly defined using Python, Apache Airflow does the rest, which involves scheduling & Execution.

Features of Apache Airflow

  • Creates workflows with all Python features
  • Features an efficient User Interface (UI)
  • Offers a wide range of plugins that supports multiple integrations
  • Allows users with the knowledge of Python to deploy workflows
  • Comes under the open-source license which allows modifications

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Ansible

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Ansible is an open-source cloud platform for software automation for organizations and individuals. System engineers and IT professionals can use the Ansible platform for various tasks such as provisioning, application deployment, intra-service orchestration, automation, and lots more. Without automation, IT processes would become too complex and cumbersome; therefore, Ansible was set up to solve the challenges associated with software automation. IT professionals can carry out automation with precision, speed, and with the right security. Ansible further ensures that the IT task is less complex and easily manageable while allowing IT personals to focus their time and attention on higher-level activates. Another area of Ansible importance is in the automation of Docker and building of containers. This is a very important feature for Traditional IT system managers as it enables them to add container-tooling functionalities easily.

Features of Ansible

  • Security Automation
  • Robust and secure platform
  • Increases efficiency and speeds up work
  • Configuration management
  • Application deployment
  • Fast and easy to set up
  • Flexibility and portability
  • Security and compliance
  • Cloud provisioning

Sonatype

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This is an open-source cloud repository software that helps thousands of individuals and organizations rapidly accelerate security and innovation in their applications? It comes with a machine learning engine that sends intelligence analysis to users and aids in improved decision making. Sonatype allows DevOps teams to eliminate the risk and issues associated with a manual system of application governance. DevOps operations can be streamlined and carried out efficiently with Sonatype. Furthermore, Sonatype can allow developers to carry out container analysis and container security for application development.

Features of Sonatype

  • Suitable for DevOps
  • Suitable for application security
  • Innovative and fast
  • Scalable
  • Universal intelligence

REFERENCES

https://www.tutorialspoint.com/mariadb/mariadb_introduction.htm

https://en.wikipedia.org/wiki/Apache_Airflow

https://airflow.apache.org/

https://towardsdatascience.com/getting-started-with-apache-airflow-df1aa77d7b1b

https://www.cloudera.com/

https://streamsets.com/

https://en.wikipedia.org/wiki/Ansible_(software)

https://en.wikipedia.org/wiki/Cloudera

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