--- title: Apache ORC Reviews meta_title: 'Apache ORC Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 11 reviews by the users' company size, role or industry to find out how Apache ORC works for a business like yours. aggregate_rating: rating_value: 4.1 review_count: 11 scale: '5' date_modified: '2026-07-12' parent_category: name: IT Management url: https://www.g2.com/categories/it-management --- # Apache ORC Reviews **Vendor:** The Apache Software Foundation **Category:** [Columnar Databases](https://www.g2.com/categories/columnar-databases) **Average Rating:** 4.1/5.0 **Total Reviews:** 11 ## About Apache ORC Apache ORC is a self-describing type-aware columnar file format for Hadoop workloads. ## Apache ORC Reviews ### 1. Very usefull tiny tool! **Rating:** 4.0/5.0 stars **Reviewed by:** Bhargava A. | Senior Structural Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 28, 2022 **What do you like best about Apache ORC?** It's an very simple and tiny tool with built in very efficient and powerfull indexing by this we can easily jump to the desired location in any columns and it have bloom filters and it's very usefull, it has maps, hive etc formats which it supports very efficiently and it has columnar storage for Hardoop workloads. **What do you dislike about Apache ORC?** It's stability needs improvement as it's not that much stable and its user interface is also not that much user friendly .At first even though you are a experienced professional you will get confused while using this tool and after sometime when you got adjusted to this tool means then it will be easy for you to use. **What problems is Apache ORC solving and how is that benefiting you?** It has a very good for organizing data as we need to organize our data very frequently and we need to search and analyze our database for our requirement, it has helped us lot in our business by doing statistical analysis and it is like helping Apache . ### 2. Most efficient file format **Rating:** 4.5/5.0 stars **Reviewed by:** Feenaz A. | Associate Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 15, 2022 **What do you like best about Apache ORC?** It's faster response time, parallel processing of the row collections and storing data in columnar format is what works best for me **What do you dislike about Apache ORC?** In starting understanding its structure and getting a hang of it is bit difficult. **What problems is Apache ORC solving and how is that benefiting you?** Its ability to store compressed and uncompressed data. Also storing aggregate data and row wise columnar data. Helps in faster query processing and execution. ### 3. Best application for business analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Sandeep C. | Managing Director, Mid-Market (51-1000 emp.) **Reviewed Date:** July 29, 2022 **What do you like best about Apache ORC?** Coming from a software development background, the application has a drone analytics features which is highly useful for clients abroad. **What do you dislike about Apache ORC?** The interface is a bit slow, but cleaning the cache will work. **What problems is Apache ORC solving and how is that benefiting you?** It is useful in analytics, business intelligence and enterprise search software. ### 4. This has a high scope of improvement **Rating:** 3.0/5.0 stars **Reviewed by:** Raj V. | M, Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2022 **What do you like best about Apache ORC?** Apache ORC promises to deliver quite a few objectives and acheives them as well to a point. We used this with multiple tools and overall results were okay. It can be made better though. **What do you dislike about Apache ORC?** Overall usability needs to improve. I think the entire system needs to be rethought of when it comes to making this product better. Our business requirements were hardly fulfilled. **Recommendations to others considering Apache ORC:** There are better options available in market, explore them first. **What problems is Apache ORC solving and how is that benefiting you?** Our business objectives were to reduce costs while enhancing productivity. Though in some fields productivity did increase but cocts went up rather than going down. ### 5. Our developers never got happier! **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** July 21, 2022 **What do you like best about Apache ORC?** It is few of the fastest columnar storage for Hadoop workloads. It is suitable for many ways of querying, the data is aggregated and can be read directly. It also has a faster response time **What do you dislike about Apache ORC?** It needs to expend to improve operations. It is less efficient with nested data. But overall it's a great software and provides a highly efficient way when it comes to data aggregation. **What problems is Apache ORC solving and how is that benefiting you?** It has a faster response time which makes it easy and efficient. It supports both compressed and uncompressed storage ### 6. Apache ORC **Rating:** 5.0/5.0 stars **Reviewed by:** Anish K. | C, Enterprise (> 1000 emp.) **Reviewed Date:** June 20, 2022 **What do you like best about Apache ORC?** Apache ORC promises to deliver quite few objectives and achieve them as well to a point. We used this with multiple tools and overall results were okay. **What do you dislike about Apache ORC?** Overall usability needs to improve. I guess the entire system needs to be rethought. Although our business requirements were fulfilled. **What problems is Apache ORC solving and how is that benefiting you?** Its really good for organizing the data including streaming data. Efficient and quick storage like helping apache. ### 7. most significant and scalable system **Rating:** 4.0/5.0 stars **Reviewed by:** Naga K. | MLOps Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 31, 2022 **What do you like best about Apache ORC?** incorporation of hadoop ecosystem and parquet file storage **What do you dislike about Apache ORC?** not giving storage mechanism and flexibility to choose among the options **What problems is Apache ORC solving and how is that benefiting you?** fast data saving which is essential for large stream data accessing. ### 8. ORC: ACID supporting file format to enrich the ability to store & search **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Automotive | Mid-Market (51-1000 emp.) **Reviewed Date:** July 30, 2022 **What do you like best about Apache ORC?** A parquet like application with the support of ACID that fascinated me the most. **What do you dislike about Apache ORC?** I am little not sure of the community support but though it is an Apache projec, expects a lot in future. **What problems is Apache ORC solving and how is that benefiting you?** As I mentioned ACID support have kind of given me transaction level stability in my big data ### 9. Fast response from the ORC **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Program Development | Small-Business (50 or fewer emp.) **Reviewed Date:** August 08, 2022 **What do you like best about Apache ORC?** Fast Response, Multi-Processing paralelly **What do you dislike about Apache ORC?** Low performance on huge data which makes it slow **What problems is Apache ORC solving and how is that benefiting you?** Helps to query the data quickly with parallel processing ### 10. Great program **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Restaurants | Enterprise (> 1000 emp.) **Reviewed Date:** June 14, 2018 **What do you like best about Apache ORC?** This program helps us store data analytics very easily. It's much easier for us to use than Microsoft Access as it is more user friendly. **What do you dislike about Apache ORC?** It is a little hard to understand at first, but once we got a hold on it, we found it easy. **Recommendations to others considering Apache ORC:** If you have a lot of data to analyze, consider Orc. It's great for loads of data or streaming data. **What problems is Apache ORC solving and how is that benefiting you?** It's really great for organizing data, including streaming data like the Blazin Rewards program which is updating indefinitely. ### 11. Apache ORC review **Rating:** 1.0/5.0 stars **Reviewed by:** Verified User in Computer Networking | Mid-Market (51-1000 emp.) **Reviewed Date:** June 15, 2018 **What do you like best about Apache ORC?** I like that it is a fast option for workload storage **What do you dislike about Apache ORC?** It is not always the most user friendly, even for experienced professionals **Recommendations to others considering Apache ORC:** Good software, but managed with open governance so be aware of bugs or threats **What problems is Apache ORC solving and how is that benefiting you?** Efficient and quick storage, like helping Apache - [View Apache ORC pricing details and edition comparison](https://www.g2.com/products/apache-orc/reviews?open_modal_url=%2Fproducts%2Fapache-orc%2Fwishlists%3Fhost_path%3D%252Fproducts%252Fapache-orc%252Freviews%26source%3Dpdp_avatar§ion=pricing&secure%5Bexpires_at%5D=2026-07-28+00%3A08%3A56+-0500&secure%5Bsession_id%5D=3d280b62-a25d-42fa-ac4b-8c0f851d8525&secure%5Btoken%5D=187c80ca6488f2cfa9937881131985dbf3784d4add3cafac2b3e2dfc0b2ad921&format=llm_user) ## Apache ORC Features **Storage** - Data Model - Data Types **Availability** - Auto Sharding - Auto Recovery - Data Replication **Performance** - Integrated Cache **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Support** - Multi-Model - Operating Systems ## Top Apache ORC Alternatives - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,144 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (711 reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - 4.3/5.0 (371 reviews)