--- title: Hadoop HDFS Reviews meta\_title: 'Hadoop HDFS Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 141 reviews by the users' company size, role or industry to find out how Hadoop HDFS works for a business like yours. aggregate\_rating: rating\_value: 4.4 review\_count: 141 scale: '5' date\_modified: '2026-08-09' parent\_category: name: Big Data url: https://www.g2.com/categories/big-data --- # Hadoop HDFS Reviews & Product Details The Hadoop Distributed File System (HDFS) is a scalable and fault-tolerant file system designed to manage large datasets across clusters of commodity hardware. As a core component of the Apache Hadoop ecosystem, HDFS enables efficient storage and retrieval of vast amounts of data, making it ideal for big data applications. Key Features and Functionality: - Fault Tolerance: HDFS replicates data blocks across multiple nodes, ensuring data availability and resilience against hardware failures. - High Throughput: Optimized for streaming data access, HDFS provides high aggregate data bandwidth, facilitating rapid data processing. - Scalability: Capable of scaling horizontally by adding more nodes, HDFS can accommodate petabytes of data, supporting the growth of data-intensive applications. - Data Locality: By processing data on the nodes where it is stored, HDFS minimizes network congestion and enhances processing speed. - Portability: Designed to be compatible across various hardware and operating systems, HDFS offers flexibility in deployment environments. Primary Value and Problem Solved: HDFS addresses the challenges of storing and processing massive datasets by providing a reliable, scalable, and cost-effective solution. Its architecture ensures data integrity and availability, even in the face of hardware failures, while its design allows for efficient data processing by leveraging data locality. This makes HDFS particularly valuable for organizations dealing with big data, enabling them to derive insights and value from their data assets effectively. * * * Seller [The Apache Software Foundation](https://www.g2.com/sellers/the-apache-software-foundation) Discussions [Hadoop HDFS Community](https://www.g2.com/products/hadoop-hdfs/discuss) Solution Type Best-of-Breed Show More ## Value at a Glance Averages based on real user reviews. ### Time to Implement 3 months ### Return on Investment 19 months [ View More Pricing Information ](https://www.g2.com/products/hadoop-hdfs/pricing) ## Top-Rated Alternatives [ ![Databricks](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Databricks") Databricks 4.6/5(1,363) ](https://www.g2.com/products/databricks/reviews) [ ![Google Cloud BigQuery](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Google Cloud BigQuery") Google Cloud BigQuery 4.5/5(1,224) ](https://www.g2.com/products/google-cloud-bigquery/reviews) [ ![Cloudera](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Cloudera") Cloudera 4.1/5(136) ](https://www.g2.com/products/cloudera/reviews) [ View All Alternatives ](https://www.g2.com/products/hadoop-hdfs/competitors/alternatives) ## User Insights Average based on 141 real user reviews. Implementation Time 3 months Perceived Cost $$$$$ [Log in to unlock pricing and user insights](/login) ![Verified User in Computer Software](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Computer Software") UC Verified User in Computer Software Mid-Market (51-1000 emp.) 1/27/2017 "HDFS is effective for long time storage" 5/5 What do you like best about Hadoop HDFS? it is effective for long time storage, and easily scalable. Review collected by and hosted on G2.com. What do you dislike about Hadoop HDFS? Writing to HDFS system is a little bit slow. Review collected by and hosted on G2.com. Recommendations to others considering Hadoop HDFS: Most effective for data warehouse as it is cheap and easily scalable. Review collected by and hosted on G2.com. What problems is Hadoop HDFS solving and how is that benefiting you? Use HDFS as data warehouse. Reliable for long time storage. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![Verified User in Information Technology and Services](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Information Technology and Services") AI Verified User in Information Technology and Services Small-Business (50 or fewer emp.) 3/18/2016 "An essential primary tool for distributed programming and data management" 5/5 What do you like best about Hadoop HDFS? HDFS supports features such as partitioning and replication that are actually mandatory to be present in a distributed environment. Of course, many optimizations should be done over the next years but the main concept will be always the same. Move code into the data and keep your data safe with no risk depending on the failures. What I like best in HDFS is the user interface which is pretty similar to a common local Linux filesystem. Moreover, HDFS is very compatible and that can be integrated with the majority of the frameworks that are used today like Hadoop and Spark. Last but not least, HDFS is open source and a huge community supports it. Review collected by and hosted on G2.com. What do you dislike about Hadoop HDFS? HDFS has some disadvantages as well. First of all, I would really like it to be more customizable and to provide more features to the user interface. By doing this, users will be free to play and experiment with new ideas which will be integrated with HDFS. I also have observed that someone has to be an expert in order to use it securely in his application and there is no much documentation about how to achieve this specifically in HDFS. Review collected by and hosted on G2.com. Recommendations to others considering Hadoop HDFS: There are a lot of systems that someone can do his job but HDFS would be always the most open one. It is also a very good choice for someone who is completely unexperienced with distributed programming because there is a lot of documentation on the Internet. Review collected by and hosted on G2.com. What problems is Hadoop HDFS solving and how is that benefiting you? The most common problem that I am trying to solve is the big data management and the application of plenty of algorithms to this kind of data. I am currently also trying to integrate it with a new architecture that I am working on. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerIncentivizedSource: G2 invite ![Aleksey I.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Aleksey I.") AI Aleksey I. Platform Architect Health, Wellness and Fitness Mid-Market (51-1000 emp.) 3/22/2016 "Good enough but not state of the art anymore (compare to Spark)" 3.5/5 What do you like best about Hadoop HDFS? Distributed and fault tolerant, transparent. Mimics Unix FS features which are familiar to many users. Good fit for tech savvy users (config files, command line interface). Fast enough. Review collected by and hosted on G2.com. What do you dislike about Hadoop HDFS? Not as fast as your local FS. More limited in tools and features than your familiar Unix environment. Bad fit for non-tech savvy users (config files, command line interface). Not entirely POSIX compliant, but gains in performance because of that. Review collected by and hosted on G2.com. Recommendations to others considering Hadoop HDFS: Well supported and understood solution at the moment. Consider other Spark based options if possible. Review collected by and hosted on G2.com. What problems is Hadoop HDFS solving and how is that benefiting you? Computing large datasets and storing files for input into map/reduce. It simplifies the process quite a bit - no need to worry about replication and fault tolerance. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerIncentivizedSource: G2 invite ![Shulhi S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shulhi S.") SS Shulhi S. Software Developer Computer Software Small-Business (50 or fewer emp.) 3/14/2016 "HDFS for logs storage" 3.5/5 What do you like best about Hadoop HDFS? Distributed file storage made easy with using HDFS. I don't need to know where the files are stored physically in the server because HDFS exposed all the files as if it was a single storage with multiple backup (depending on you replication factor). In term of using HDFS API, it is straight forward to use. Review collected by and hosted on G2.com. What do you dislike about Hadoop HDFS? Configuration. To get HDFS running might be easy or complicated depending on your experience. We are using Hadoop together with Cloudera, so that was really easy for us to get things started. However, as any other Hadoop components, fine tuning HDFS can be tricky. Debugging HDFS can also be tricky, like suddenly HDFS doesn't allow write due to it was in safe mode. At the point I was using Hadoop, getting Hadoop to work with HA is also challenging, namenode was a single point of failure. HDFS also doesn't work well with lots of small files. For average user, it can be daunting for them to access HDFS (I think HDFS has web app running with limited functionality), for developers it would be no issue. Review collected by and hosted on G2.com. Recommendations to others considering Hadoop HDFS: HDFS is a great tool if you're looking for proven solution for file storage that offers distributed storage and file backups. However, HDFS is just a file system and nothing more than that. I've got clients who think HDFS is like magic, put up files into HDFS and come out analytic. Hadoop is prone to failure, having someone who knows Hadoop in and out is great plus. Review collected by and hosted on G2.com. What problems is Hadoop HDFS solving and how is that benefiting you? I was building internal tool for managing logs and analyzing logs for business intelligence. We used logs as our source to train machine learning algorithm to detect system failure. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![Verified User in Transportation/Trucking/Railroad](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Transportation/Trucking/Railroad") AT Verified User in Transportation/Trucking/Railroad Small-Business (50 or fewer emp.) 3/14/2016 "Hadoop HDFS" 3.5/5 What do you like best about Hadoop HDFS? It is a good way to make big storages and for distributed system. Review collected by and hosted on G2.com. What do you dislike about Hadoop HDFS? I don't know much about Hadoop HDFS. But If I have to answer the question then, It is hard to use whenever I wanted to control some files or directories. Commands are not comfortable for me. I wanted to use like Linux command. This is a little bit different with Linux's, I think. Review collected by and hosted on G2.com. Recommendations to others considering Hadoop HDFS: Hadoop HDFS is a good solution for distributed and large scale data when if you had to control big data for text mining or data mining using machine learning like things. Review collected by and hosted on G2.com. What problems is Hadoop HDFS solving and how is that benefiting you? My company is related with data mining and machine learning using social data and etc. Some project needed to prediction from that data for making prediction models. So We decided to make that using Hadoop ecosystem. Finally, We achieved the project using Hadoop and Map & Reduce function. and I realized that it could be a pretty good solution. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![Verified User in Higher Education](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Higher Education") AH Verified User in Higher Education Enterprise (\> 1000 emp.) 3/8/2016 "Hadoop is a tool with both bitterness and sweet" 5/5 What do you like best about Hadoop HDFS? Hadoop is a collection of software that handles distributed file system (HDFS), and distributed processing mechanism on top of it (MapReduce). It is highly scalable and reliable. With Hadoop, users could specify their processing requirements on large datasets without worrying the details of underlying communication and data distribution. Hadoop can scale up easily to adapt to workflow increase. Automatic data replication mechanism in HDFS guarantees its reliability. Review collected by and hosted on G2.com. What do you dislike about Hadoop HDFS? Hadoop is written in Java and it is not fast. It cannot handle the data processing requests in real-time. Its processing layer, MapReduce, simplifies the processing logic by supporting only a Map and Reduce function, but it also introduces inconvenience to express complicated processing logic. Hadoop adopts master-slave architecture, but the master is designed in single-node mode: when the master node is down, it is difficult to get recovered. Users have to purchase high-end hardware to prevent master-node failures. Review collected by and hosted on G2.com. Recommendations to others considering Hadoop HDFS: If you have data that are large in size, use Hadoop. The initial setup and trial is simple; and you can figure out easily whether it is a good solution to your data processing requirements. Why not give it a try? But hadoop is not a solution for all big data problems. It cannot handle interactive, iterative, and real-time processing well. Review collected by and hosted on G2.com. What problems is Hadoop HDFS solving and how is that benefiting you? By using Hadoop, we can explore much larger datasets and find the hidden essence in them in order to provide better service. The cost of developing, debugging, and deploying of the tools becomes easier than before, and the scale of processing is expanded significantly. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerIncentivizedSource: G2 invite 宗 宗 . Technique Consultant Biotechnology Small-Business (50 or fewer emp.) 3/14/2016 "I am using hadoop-hdfs in bioinformatics for human genome data" 4.5/5 What do you like best about Hadoop HDFS? hdfs is high avalible and scalable, I can expand the storage only add several datanodes. And with hdfs genome data can be easily analyzed by mapreduce. Review collected by and hosted on G2.com. What do you dislike about Hadoop HDFS? hdfs is not so good for small files, and the nfs-gate-way is also not very well. Review collected by and hosted on G2.com. Recommendations to others considering Hadoop HDFS: I think hadoop has a very good community, although hdfs still has some bugs(I think hadoop-yarn make have more bugs, espically on dokcer-container-executor), I think it will be better. Review collected by and hosted on G2.com. What problems is Hadoop HDFS solving and how is that benefiting you? When using java, It is not so easy to manipulate files in hdfs by hadoop api. I find an open-source project jsr203-hadoop(https://github.com/damiencarol/jsr203-hadoop) can make things simple. One can read and write hdfs files via NIO api in jdk1.7. But at that time I found a small bug in the project when I tring to move a file. I fixed the bug and the auther (damiencarol) kindly merged my code. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![Anshorimuslim S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Anshorimuslim S.") AS Anshorimuslim S. Platform Developer Information Technology and Services Small-Business (50 or fewer emp.) 3/14/2016 "Hadoop Easy Distributed" 4/5 What do you like best about Hadoop HDFS? Well I am using Hadoop HDFS for HBase filesystems. I found it's really easy to deploy. I use Cloudera Manager as hadoop package, it could be more easy. If you have a lot of nodes, then truly you will have power from Hadoop HDFS Review collected by and hosted on G2.com. What do you dislike about Hadoop HDFS? It's quite troblesome for tuning HBase and HDFS. At first when we have fe w nodes it doesnt looks better, but when we hit more nodes, performance gained. But still, lot of tinkering to do. Review collected by and hosted on G2.com. Recommendations to others considering Hadoop HDFS: Use a good package, don't use bare install Review collected by and hosted on G2.com. What problems is Hadoop HDFS solving and how is that benefiting you? Social Media monitoring and analytics Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerIncentivizedSource: G2 invite ![Timothy S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Timothy S.") TS Timothy S. Principal Developer Advocate Enterprise (\> 1000 emp.) 1/7/2016 Business partner of the seller or seller's competitor, not included in G2 scores. "Hadoop Cluster Usage" 4/5 What do you like best about Hadoop HDFS? Hadoop is a no brainer for big data. The main killer feature is HDFS. Having a redundant WORM file system is amazingly useful. There's a reason Google invented in and Yahoo made it open source. 3 copies of your file just works. Cheap commodity servers, but still fast and stable. Never lose data, store everything. Access and use in multiple use cases. So many tools and other projects around Hadoop make it a must have for all enterprises and startups. You add Spark which most distributions include and you can pretty much do everything you need. Ambari and Hue make it easy to setup now. Review collected by and hosted on G2.com. What do you dislike about Hadoop HDFS? There's a lot of stuff in Hadoop, also there's always 10 ways to do something and hard to know what's the best. Do you do Storm or one of 20 other frameworks. Should I store in Parquest, ORCFile, Avro or CSV or something else? Do you compress with SNAPPY or nothing. What level of encryption? Is Kerberos good enough for my security. Security is a bit lax and there's definitely a lot of things to configure. Review collected by and hosted on G2.com. Recommendations to others considering Hadoop HDFS: Try it out in one of the sandboxes. It's very easy to install with Ambari. The sandboxes are all setup and running with all the basic tools. Try the HDFS CLI and copy a few files into HDFS. Then try to access them through the CLI and through some basic HiveQL. It's easy to load, transform and query your data. Easy to pull it out of SQL and drop it in HDFS. The only hard part is to figure out what tools to use for BI and for imports. Review collected by and hosted on G2.com. What problems is Hadoop HDFS solving and how is that benefiting you? Storing everything, accessing everything, not losing data and rapid access to big and fast data. It's great for BI and for applications. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![Verified User in Computer Games](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Computer Games") UC Verified User in Computer Games Mid-Market (51-1000 emp.) 3/16/2016 "Solid, scalable solution" 4/5 What do you like best about Hadoop HDFS? HDFS is reliable and solid, and in my experience with it there are very few problems using it. If you have your own data centre and you use Hadoop, it's the obvious choice for reliably storing your data. Review collected by and hosted on G2.com. What do you dislike about Hadoop HDFS? If your NameNodes all go down, then HDFS is pretty much useless as you won't know which file blocks are where and which files they belong to -- and I've read it's difficult to recover (or impossible) if you completely lose your NameNode file mappings. Fortunately I've never personally seen this occur. Review collected by and hosted on G2.com. Recommendations to others considering Hadoop HDFS: Again, you get it for free if you have your own Hadoop installation and run your own datacentre, so you might as well use it for archiving/storage/input to various ETL. Even if you're "in the Cloud" you usually have access to HDFS, even ephemerally, and it's quicker to do work on it directly than some systems such as Amazon S3 (of course you still need to persist your data back off of HDFS when you're done in such a situation). Review collected by and hosted on G2.com. What problems is Hadoop HDFS solving and how is that benefiting you? HDFS is used for MapReduce processes, Hive tables, Spark job input, for backing up data... The list goes on. You get replication for free, which is also very useful. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ## Questions about Hadoop HDFS? Ask real users or explore answers from the community Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights. [ Ask about Hadoop HDFS ](https://www.g2.com/products/hadoop-hdfs/discussions/new) GU Guest User • Last activity over 2 years ago What is Hadoop HDFS used for? 1 Upvote 1 [ Join the conversation ](https://www.g2.com/discussions/what-is-hadoop-hdfs-used-for) [ View all Discussions ](https://www.g2.com/products/hadoop-hdfs/discuss) ## Pricing Insights Averages based on real user reviews. ### Time to Implement 3 months ### Return on Investment 19 months ### Perceived Cost $$$$$ [ View More Pricing Information ](https://www.g2.com/products/hadoop-hdfs/pricing) Hadoop HDFS Comparisons ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image") Databricks 4.6/5(1,363) [ Compare Now ](https://www.g2.com/compare/databricks-vs-hadoop-hdfs) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_da16878589afcd15c61bcb8a7b6b66a7/kubernetes.png "Product Avatar Image") Kubernetes 4.6/5(159) [ Compare Now ](https://www.g2.com/compare/hadoop-hdfs-vs-kubernetes) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_d1fd454b6f4ef5fb0bbdaabe8681b035/cloudera.png "Product Avatar Image") Cloudera 4.1/5(136) [ Compare Now ](https://www.g2.com/compare/cloudera-vs-hadoop-hdfs) ##### ##### Hadoop HDFS Features Database Real-Time Data Collection Data Distribution Data Lake Integrations Hadoop Integration Spark Integration Platform Machine Scaling Data Preparation Spark Integration Processing Cloud Processing Workload Processing [ View More Features ](https://www.g2.com/products/hadoop-hdfs/features) ## Work at The Apache Software Foundation? 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