Hadoop applications use HDFS to store data. HDFS uses a NameNode and DataNode architecture to implement a distributed file system for Hadoop clusters. It’s a distributed processing framework for big data applications. HDFS is a major Hadoop technology. It supports big data analytics applications and manages massive data pools.
It’s crucial to evaluate some of the top data processing and storage solutions against Hadoop HDFS. This will make it simple for you to locate and select the top Hadoop HDFS competitors and substitutes. Therefore, we have developed a list of the top Hadoop HDFS alternatives and competitors.
Top 10 Best Hadoop HDFS Alternatives & Competitors
- Google BigQuery – Most Robust Alternative
- Cloudera – Most Personalized Alternative
- Amazon EMR – Most Powerful Alternative
- Microsoft SQL – Most Enterprise-worthy Alternative
- Apache kafka– Most Flexible Alternative
- Vertica– Most Dynamic Alternative
- Qubole – Most Potent Alternative
- Snowflake – Most Insightful Alternative
- Rstudio – Most Relevant Alternative
- Apache Storm– Most Personalized Alternative
1. Google BigQuery– Most Robust Alternative
PRICING: Contact vendor for pricing
BigQuery is Google’s petabyte-scale, a low-cost enterprise data warehouse for analytics. It is a multi-cloud, serverless data warehouse aimed at assisting customers in turning huge data into insightful business decisions. Users don’t need to load or store structured data into their systems to query it. Advanced capabilities like layered, repeating, and compressed columnar data storage are available with BigQuery.
- Connectors for data
- Internal Database Processing
- Collecting Data in Real Time
- Distribution of Data
- Combining Hadoop
- Integration with Spark
- Processing on Cloud
REASONS TO BUY:
- Effective query database for large datasets
- A quick and inexpensive analytics tool
- Easy-to-Use Storage and Query Tool for Data Analytics
- Big data access is really quick.
REASONS TO AVOID:
- does not partition in any way besides by date.
» MORE: Top Sauce Labs Alternatives & Competitors
2. Cloudera – Most Personalized Alternative
PRICING: $10000 per year
Cloudera is an enterprise data cloud platform that uses artificial intelligence (AI) and machine learning technologies to help businesses in financial services, manufacturing, telecommunications, retail, technology, insurance, healthcare, public sector, education, energy, and utilities use self-service analytics across multi-cloud and hybrid environments.
KEY FEATURES:
- API
- Analysis on the Spot
- Query on the Spot
- Campaign Administration
- Data Combination
- Data Capture and Transmission
REASONS TO BUY:
- Assistance for the Apache Hadoop ecosystem
- Cloudera Manager’s API makes it easy to automate deployments.
- Web GUI for Cloudera Manager is user-friendly.
REASONS TO AVOID:
- It displays empty boxes rather than just graphs.
» MORE: Top TriNet Alternatives & Competitors
3. Amazon EMR – Most Powerful Alternative
PRICING – Contact the vendor for the price
Amazon EMR handles data quickly and affordably. Amazon EMR enables you to grow application resources with a cluster of thousands of nodes. It stores and analyzes huge volumes of data using Apache Hadoop, Presto, Spark, and other open-source frameworks.
KEY FEATURES:
- Connectors for data
- Extraction of Data
- Data Storage Administration
- Transformation of Data
- Visualization of data
- Large-Scale Processing
REASONS TO BUY:
- You can index your content and keep it up-to-date
- It’s Versatile
- Easy to set up
- They have top-notch technical support.
REASONS TO AVOID:
- Compared to similar services, the price is higher.
» MORE: Alternatives & Rivals For Hire Image
4. Microsoft SQL – Most Enterprise-worthy Alternative
PRICING – Starts at $931/user
SQL Server is a relational database management system (RDMS) designed to assist enterprises of all sizes in analyzing organized or unstructured data across various data environments such as Azure SQL Database, Azure Cosmos DB, MySQL, and others. It lets administrators monitor database performance, data lakes, and data warehousing on a single platform.
KEY FEATURES:
- Replication of data
- Access Regulations and Permits
- Reporting on-Demand
- Tools for Collaboration
- Performance Evaluation
REASONS TO BUY:
- The performance and tool integration of Microsoft SQL Server is good.
- Utility and Performance Tool For Data Analysis And Storage.
- A powerful, trustworthy database
REASONS TO AVOID:
- Not user-friendly
» MORE: Alternatives & Rivals For SketchUp
5. Apache kafka – Most Flexible Alternative
PRICING – Contact the support
An open-source program called Apache Kafka is made to assist companies in banking, telecom, IT, transportation, and other industries with event stream processing tasks. It makes it possible for IT professionals to gather data in the form of streams of events from a variety of sources, including databases, mobile devices, sensors, and internet applications.
KEY FEATURES:
- API
- Activity Monitoring
- Integration of Cloud Data
- Extraction of Data
- Import/Export of Data
REASONS TO BUY:
- Every setting can be changed
- Consistently be able to transfer massive amounts of data (non-binary)
- streaming in real time
REASONS TO AVOID:
- Kafka Tool is community-made Java software that appears old.
» MORE: Best GrubHub Substitutes And Competitors
6. Vertica – Most Dynamic Alternative
PRICING – Contact support to obtain current pricing
Vertica has event and time series, pattern matching, GIS, and machine learning functions. Vertica helps data analytics teams apply sophisticated functions to enormous and demanding analytical workloads, giving predictive business insights. Vertica’s unified analytics platform integrates cloud object storage and HDFS without data transmission. Vertica is a SaaS platform that merges data silos.
KEY FEATURES:
- Integration of Data
- Compression of data
- Integrated Data Analytics
- Machine learning within databases
REASONS TO BUY:
- The top integrated multitool for data analytics and archiving
- Excellent community and performance
- Excellent capabilities in the product
REASONS TO AVOID:
- The user interface is a bit complex to navigate
» MORE: Best GoTo Meeting Substitutes And Competitors
7. Qubole – Most Potent Alternative
PRICING – $199/month
Qubole is an open data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform accelerates data lake adoption, reduces time to value, and cuts cloud data lake costs by 50% like Qubole. Qubole’s Platform includes cloud infrastructure management, data management, continuous data engineering, analytics, and machine learning with near-zero administration.
KEY FEATURES:
- Tools for Collaboration
- Tools for Data Analysis
- Data Fusion
- Data Exploration
- Visualization of data
REASONS TO BUY:
- Implementation is quite simple, and it also lowers cloud costs.
- Easy to use and implement the tool
- Excellent Big Data management tool.
- Qubole is a fantastic analytics data lake platform.
REASONS TO AVOID:
- Very Flawed, Poor User Interface
» MORE: Top Prezi Alternatives & Competitors
8. Snowflake – Most Insightful Alternative
PRICING – It offers a free trial and you can contact the vendor for pricing
Snowflake is a cloud data platform that enables secure data workloads. This technology runs data across several locations for a unified corporate ecosystem. Snowflake gives access to the same data using a multi-cluster shared data architecture. The platform scales to any data volume and user count.
KEY FEATURES:
- Access Regulations and Permits
- Data Exploration
- Integration of Data
- Data Transfer
- Data Storage Administration
REASONS TO BUY:
- Good for managing databases
- Snowflake is a great cloud data lake generation and analytics tool.
REASONS TO AVOID:
- A poor user experience
» MORE: Best Stamps Substitutes And Competitors
9. Rstudio – Most Relevant Alternative
PRICING – $995 per year
RStudio lets users produce, collaborate, manage, and exchange R and Python data. This package includes a console, syntax-highlighting editor, and debugging and workspace management features. RStudio is free and for-pay.
KEY FEATURES:
- Statistical Analysis
- Visualization of data
- Data Services, Big
- Code Creation
REASONS TO BUY:
- R is ideal for modeling and data analysis.
- Outstanding software for data scientists
- For any need, a versatile data analysis tool
REASONS TO AVOID:
- It requires expertise
» MORE: Top PayTrace Alternatives & Competitors
10. Apache Storm – Most Personalised Alternative
PRICING – Contact the support
Apache Storm is a distributed real-time computing system that is free and open source. Apache Storm does for real-time processing what Hadoop did for batch processing by making it simple to safely process unlimited streams of data. It’s easy to use, compatible with any computer language, and a lot of fun to use.
KEY FEATURES:
- It’s Apache open source.
- It processes large datasets.
- It’s speedy and trustworthy.
- It can process lots of data quickly.
REASONS TO BUY:
- Quick and Trustworthy
- Excellently resourceful, helpful, and technically competent.
- reliable and flexible real-time stream processing tool
REASONS TO AVOID:
- It takes time to learn.
» MORE: Alternatives to Slack
Reference and Links
- https://www.hdfstutorial.com/blog/top-hadoop-alternatives/
- https://www.g2.com/products/hadoop-hdfs/competitors/alternatives
- https://www.trustradius.com/products/apache-hadoop/competitors