# Apache Sqoop Reviews **Vendor:** The Apache Software Foundation **Category:** [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) **Average Rating:** 4.3/5.0 **Total Reviews:** 31 ## About Apache Sqoop Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases. ## Apache Sqoop Reviews ### 1. Data sqoop from informatica and oracle in Big data applications **Rating:** 4.5/5.0 stars **Reviewed by:** Shubhashish V. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** November 24, 2023 **What do you like best about Apache Sqoop?** Apache is very helpful in extracting big data set with minimal time .It can be integrated and implemented with many of similar application where big data is involved with frequency use **What do you dislike about Apache Sqoop?** Sometimes query takes more time in execution when many join or left outer join or other join involved with extra filter in where condition . The failure during partial import happened in long query **What problems is Apache Sqoop solving and how is that benefiting you?** It is helping in creating big data set from 2 or many table with filter in easy way so that we can use that optimise data to support or develop our applications for business User ### 2. A versatile utility for data move movement and basic sql functions. **Rating:** 5.0/5.0 stars **Reviewed by:** Zubin D. | Associate Software Engineering Manager, Enterprise (> 1000 emp.) **Reviewed Date:** November 09, 2023 **What do you like best about Apache Sqoop?** The simplicity with which the tool can be used at the get with minimal setup in a distributed environment and the short learning curve. **What do you dislike about Apache Sqoop?** The logging seemed to be something I personally struggled with identifying data anomalies when came to data movement in my use cases. **What problems is Apache Sqoop solving and how is that benefiting you?** Data movement between a distributed environment and a relation database ### 3. Command line interface application for transferring data between database and hadoop **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Accounting | Small-Business (50 or fewer emp.) **Reviewed Date:** August 08, 2023 **What do you like best about Apache Sqoop?** Data transfer is in parallel,making it fast and cost effective. **What do you dislike about Apache Sqoop?** The failure during partial import and export need special handling. **What problems is Apache Sqoop solving and how is that benefiting you?** It involves transferring the data from a variety of structured sources of data like Oracle,postgree etc. ### 4. Data import/export from/to RDBMS with Sqoop **Rating:** 4.0/5.0 stars **Reviewed by:** A P. | Freelance Data science/ big data trainer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 20, 2022 **What do you like best about Apache Sqoop?** Incremental imports are most useful in sqoop **What do you dislike about Apache Sqoop?** sometimes when the same database is used for other business applications and my queries involve multiple joins, performance is impacted **Recommendations to others considering Apache Sqoop:** I recommend Apache sqoop because of its ease of use. **What problems is Apache Sqoop solving and how is that benefiting you?** Sqoop is solving the problem of easily importing the data updates done at the source database using incremental imports and automating these tasks using sqoop jobs. ### 5. Standard CLI tool for importing and exporting data from Hadoop **Rating:** 4.5/5.0 stars **Reviewed by:** Kubendra Reddy M. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 18, 2022 **What do you like best about Apache Sqoop?** Best thing about is it excutes the data transfer parallel.It allows to transfer the data from variety of structured databases. It has huge support community. **What do you dislike about Apache Sqoop?** Under the hood it uses MapReduce which takes time for even small data transfer. Implementing Change data capture and incremental loads is quite complex.It cannot be paused and resumed. **Recommendations to others considering Apache Sqoop:** Standard data transfer tool. **What problems is Apache Sqoop solving and how is that benefiting you?** We used to import the dtaa from RDBMS to Hadoop cluster and used to export the data from Hadoop to RDBMS. We used this to transfer the data parallely for better performance. ### 6. It’s designed to transfer the huge data between Database and Cluster **Rating:** 4.0/5.0 stars **Reviewed by:** srinu k. | Senior ETL Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** November 03, 2020 **What do you like best about Apache Sqoop?** Transferring the structural data between RDBMS and Cluster **What do you dislike about Apache Sqoop?** It’s little bit difficult to trace the error log **What problems is Apache Sqoop solving and how is that benefiting you?** Huge data transfers while we’re working with hdfs cluster ### 7. Apache Sqoop for collecting social data **Rating:** 4.5/5.0 stars **Reviewed by:** GouriS S. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** October 19, 2021 **What do you like best about Apache Sqoop?** The best thing about apache sqoop is it provides easy configuration for getting the data in real time from source system **What do you dislike about Apache Sqoop?** The thing which i disliked about apache sqoop is once the pipleline is broked then it is tough to recover lost messages **What problems is Apache Sqoop solving and how is that benefiting you?** I have used apache Sqoop for getting the real time data from twitter source apis and then process the data ### 8. Very useful and easy to use. **Rating:** 5.0/5.0 stars **Reviewed by:** Nikunj P. | Senior Software Engineer, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** October 23, 2020 **What do you like best about Apache Sqoop?** The usage is very simple. It's very user friendly. We need not write lot of lines of code to get the data from db or write back to db **What do you dislike about Apache Sqoop?** There is nothing I can see as of now. If we get supporfor swooping nosql dbs that would be great **What problems is Apache Sqoop solving and how is that benefiting you?** For data warehouse and analytics we are sqooping data from various dbs and making it available in Hadoop for processing and analytics ### 9. The Best application for transferring data between relational databases and Hadoop **Rating:** 4.5/5.0 stars **Reviewed by:** Saurav M. | Big Data Developer, Enterprise (> 1000 emp.) **Reviewed Date:** July 16, 2020 **What do you like best about Apache Sqoop?** The simplicity and effectiveness of the application wins my heart. Also, user-centric design is awesome. I am using Sqoop to import data from external datastores into Hadoop Distributed File System or related Hadoop eco-systems like Hive and HBase. The best benefit is how easy it is to use and how fast it is. Sqoop can easily integrate with Hadoop and dump structured data from relational databases on HDFS, complimenting the power of Hadoop. This is why Big Data and Hadoop certification mandates a sound knowledge of Apache Sqoop and Flume. **What do you dislike about Apache Sqoop?** I did not really find anything that I didn't like but if in future I did, I would love to share it. There are few issues using sqoop which buged me initially but are easy to handle: Sqoop Connector: Issue: Use of incorrect connector for the Database to be connected while doing sqoop export or sqoop import. Missing driver or use of correct driver name of the respective jdbc class for sqoop command. Missing connection-manager name in some cases of sqoop command. Incorrect approach of giving password or username of the Database to be connected. Format of the data stored in HDFS/Hive Tables can create issues. There are few formats such as ORC files which wont allow direct data transfer using sqoop. Non-matching or incorrect names of columns of source and destination tables where HCatalog is used in sqoop command can show successful sqoop job without the data being transferred. **Recommendations to others considering Apache Sqoop:** Apache Sqoop is designed to efficiently transfer enormous volumes of data between Apache Hadoop and structured datastores such as relational databases. It helps to offload certain tasks, such as ETL processing, from an enterprise data warehouse to Hadoop, for efficient execution at a much lower cost. Sqoop also makes it easy to extract data from Hadoop and export it to external structured datastores. **What problems is Apache Sqoop solving and how is that benefiting you?** I am using Sqoop to import data from external datastores into Hadoop Distributed File System or related Hadoop eco-systems like Hive and HBase. The best benefit is how easy it is to use and how fast it is. ### 10. Making imports easier from Relational DB to HDFS **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** March 31, 2021 **What do you like best about Apache Sqoop?** Replication of Relational DB onto HDFS for MR jobs **What do you dislike about Apache Sqoop?** The data had to be re-imported every time the data was changed **What problems is Apache Sqoop solving and how is that benefiting you?** We had a huge volume of data in Relational DB. IN order to derive the aggregated KPI, I had to run SQL's . using sqoop , same SQLfrom Relational DB was run on sqoop ### 11. Sqoop as a key tool in our ETL Pipeline **Rating:** 5.0/5.0 stars **Reviewed by:** Vijay A. | Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 23, 2020 **What do you like best about Apache Sqoop?** Best suited in our pipeline where we load/unload data from postgreSQL. Suited for out data format in AVRO. Under normal circumstances execution is fast and cost effective. **What do you dislike about Apache Sqoop?** When loading huge data it is becoming performance bottle neck for other apps working with same datastore. There is no pause & resume feature. We have to start job again. **Recommendations to others considering Apache Sqoop:** Getting skilled in sqoop is quite easy and fun. **What problems is Apache Sqoop solving and how is that benefiting you?** In our ETL Pipeline we need to load data from PostgreSQL to HDFS and process the data and load it. It is very fast in execution. ### 12. Great tool for Big Data transfers/ migrations **Rating:** 5.0/5.0 stars **Reviewed by:** RAVI RANJAN K. | Enterprise (> 1000 emp.) **Reviewed Date:** October 27, 2020 **What do you like best about Apache Sqoop?** It’s simple way to connect to any Database to pull or push data is the best part. It can be integrated with any of your scripts or programs for data transformation by simple use of SQL. **What do you dislike about Apache Sqoop?** Still there is scope of improvement to make it more robust for many NoSql based databases. **Recommendations to others considering Apache Sqoop:** Give it a try, it’s helpful **What problems is Apache Sqoop solving and how is that benefiting you?** Very much used for Big Data migration projects and where you want to leverage the power of Transact SQL by integrating with Vig Data project. ### 13. Excellent piece of technology for bulk data transfer. **Rating:** 4.5/5.0 stars **Reviewed by:** Rahul A. | Associate Manager Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** December 18, 2020 **What do you like best about Apache Sqoop?** Seemless intergartion with relational databases. **What do you dislike about Apache Sqoop?** Not very effective with de-normalized data as we need to execute multiple joins in map reduce. **Recommendations to others considering Apache Sqoop:** If you need bulk and delta data transfer from relational databases to hadoop envioronment then Apache Sqoop is the best product. **What problems is Apache Sqoop solving and how is that benefiting you?** Problems with de-normalized data. Many benefits. It has seem less integration with on-prem relational servers. ### 14. A better service to import sql data into hadoop **Rating:** 5.0/5.0 stars **Reviewed by:** Lakshmi Narayana J. | Senior Hadoop Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** January 12, 2021 **What do you like best about Apache Sqoop?** The command are very lightweight. And easily used to import data **What do you dislike about Apache Sqoop?** This service is a Simple tool with no flaws to notice. **Recommendations to others considering Apache Sqoop:** It is very suited service for importing sql databases into Hadoop data lakes. **What problems is Apache Sqoop solving and how is that benefiting you?** To import sql databases into Hadoop data lakes ### 15. Data transfer between RDBMS and Hadoop **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** October 21, 2020 **What do you like best about Apache Sqoop?** It provides an ease to transfer data between RDBMS and Hadoop. It's simply a command line tool. Does a good job in data migration. **What do you dislike about Apache Sqoop?** Sqoop is simply based on command line, it would have been better if presented in a good UI format. **Recommendations to others considering Apache Sqoop:** Sqoop is a perfect tool for the data transfer between RDBMS and Hadoop. It is based on command line and can be integrated with other tools as well. Overall it's a nice tool. **What problems is Apache Sqoop solving and how is that benefiting you?** Used it for the migration of data from an existing RDBMS system to hdfs and vice versa. ### 16. Excellent tool to transfer data **Rating:** 5.0/5.0 stars **Reviewed by:** Lakshmi Lavanya V. | Enterprise (> 1000 emp.) **Reviewed Date:** October 26, 2020 **What do you like best about Apache Sqoop?** Incremental exports and incremental imports **What do you dislike about Apache Sqoop?** Nothing as such, I found the tool very useful **Recommendations to others considering Apache Sqoop:** Looking to transform data batches, Apache sqoop is the best ETL tool have used **What problems is Apache Sqoop solving and how is that benefiting you?** I have transferred data from oracle systems to apache hive and scoop made my job easy and saved a lot of time. ### 17. Widely used for fetching data from relation databases outside hadoop **Rating:** 4.0/5.0 stars **Reviewed by:** SAFINA R. | Big Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 27, 2020 **What do you like best about Apache Sqoop?** Sqoop makes data fetch from other databases outside hadoop so easy. **What do you dislike about Apache Sqoop?** It is less performant. And violates data policy. **Recommendations to others considering Apache Sqoop:** It uses JDBC but is so simple to use. **What problems is Apache Sqoop solving and how is that benefiting you?** Bringing in data into hadoop is made simple ### 18. Apache SQOOP For RDBMS **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** October 26, 2020 **What do you like best about Apache Sqoop?** We can connect easily with RSBMA Source systems to migrate data to On premise environment or cloud environment. **What do you dislike about Apache Sqoop?** If Sqoop will come up with other than RDBMS Then that will be better what I thought **Recommendations to others considering Apache Sqoop:** If you want to do EXTRACT or Migration from RDBMS then APACHE SQOOP is one of the solution to go for in On premise environment s **What problems is Apache Sqoop solving and how is that benefiting you?** To migrate data from RDBMS Source to Target systems ### 19. Very simple and best application for transferring data **Rating:** 4.0/5.0 stars **Reviewed by:** Namrata P. | Lead Full Stack Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** October 27, 2020 **What do you like best about Apache Sqoop?** Transferring data between relational database and Hadoop. **What do you dislike about Apache Sqoop?** Swoop doesn't support file types like orc,rc which I don't like. **Recommendations to others considering Apache Sqoop:** Simple and easy to use **What problems is Apache Sqoop solving and how is that benefiting you?** Data type conversion issue ### 20. It’s good to import data from rdbms to hdfs **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** October 20, 2020 **What do you like best about Apache Sqoop?** Import data from rdbms and dump it into hdfs **What do you dislike about Apache Sqoop?** Taking too much time when data was huge **Recommendations to others considering Apache Sqoop:** It is only for rdbms . It will be good if file import functionality will be added **What problems is Apache Sqoop solving and how is that benefiting you?** We were importing data from rdbms to hdfs. It is good when we were loading in batches ### 21. Works well with mysql **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** October 21, 2020 **What do you like best about Apache Sqoop?** It's useful tool to transform structured database data into unstructured dba data. Easy to maintain data transfer jobs. **What do you dislike about Apache Sqoop?** Since it works on top of Jvm, takes lots of memory **What problems is Apache Sqoop solving and how is that benefiting you?** Used in data warehouse. Maintain and monitoring jobs. ### 22. Good application for transferring data between RDBMS to HDFS **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Food & Beverages | Small-Business (50 or fewer emp.) **Reviewed Date:** October 28, 2020 **What do you like best about Apache Sqoop?** Essay to use, good is security, and fast data transferring between source to destination. **What do you dislike about Apache Sqoop?** need to update design. otherwise all is good. **What problems is Apache Sqoop solving and how is that benefiting you?** transferring data between RDBM to HDFS. ### 23. I have used Apache sqoop in project. Sqoop is very easy to use. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Dairy | Small-Business (50 or fewer emp.) **Reviewed Date:** July 12, 2020 **What do you like best about Apache Sqoop?** Sqoop command easy to write for getting data from database to hdfs And export data from hdfs to database. Incremental load and sqoop job most best feature in sqoop **What do you dislike about Apache Sqoop?** Sqoop only working for database import and export as like structure data. Not working for unstructured data **What problems is Apache Sqoop solving and how is that benefiting you?** 1. ncremental data load problem solving by sqoop. 2. Full data load problem solving ### 24. Most efficient tool for importing from RDMS systems **Rating:** 4.0/5.0 stars **Reviewed by:** Karthik S. | Data Engineer / Hadoop Developer, Enterprise (> 1000 emp.) **Reviewed Date:** December 25, 2019 **What do you like best about Apache Sqoop?** This is the tool that is used to import data from any RDMS systems. It uses a Map-Reduce framework which gives a continuous and running info and status of imported data. In addition, running this tool with a shell script is a lot convenient and effective. **What do you dislike about Apache Sqoop?** Sqoop doesn't have a Graphical user interface. If we have GUI for this tool it would have been a lot more convenient. Moreover, Map-reduce functions used in Sqoop is a little slow, however, modern technologies have many advances. I believe using modern tools would make this tool a lot faster. **What problems is Apache Sqoop solving and how is that benefiting you?** I have used it extensively for importing data from different RDMS systems. The connection to Databases is a lot more flexible. ### 25. Efficient bulk data transfer and management tool **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** April 21, 2019 **What do you like best about Apache Sqoop?** Best tool to efficiently transfer bulk data between structured datastores such as relational databases and Apache Hadoop. Works well with relational databases such as Teradata, Netezza, Oracle, MySQL, Postgres, and HSQLDB. Parallel data transfer function helps to faster performance and optimal system utilization. Also helps to import sequential datasets from mainframe and direct to ORCFiles , fast data copies, efficient data analysis and load balancing. **What do you dislike about Apache Sqoop?** Can be applicable with structured database related transfer only. It uses a JDBC connection to connect with RDBMS based data stores which creates performance issue and makes inefficient. **Recommendations to others considering Apache Sqoop:** Easy to transfer huge amount of data and import of tabels, column or databases. Good for those who are working with Apache Hadoop and other supported relational database such as Teradata, Netezza, Oracle, MySQL, Postgres, and HSQLDB **What problems is Apache Sqoop solving and how is that benefiting you?** Easy to handle and transfer bulk data efficiently from relational database servers and Apache Hadoop. Predefined commands helps to faster import tables, selected column or selected table, complete databases, and also transfer bulk data between different databases. ### 26. Sqoop Data Ingestion tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** March 15, 2019 **What do you like best about Apache Sqoop?** Provides generalized JDBC extensions to migrate data between most database systems When combined with Cloudera's HUE, it can enable non-technical users to easily import relational data into Hadoop Allows for both import and export features Generates Java classes upon reading database records for use in other code utilizing Hadoop's client libraries **What do you dislike about Apache Sqoop?** Sqoop isn't very user-friendly for those uncomfortable with a CLI. Sqoop2 development seems to have stalled. I have set it up outside of a Cloudera CDH installation, and I actually prefer it's "Sqoop Server" model better than just the CLI client version that is Sqoop1. This works especially well in a microservices environment, where there would be only one place to maintain the JDBC drivers to use for Sqoop. **Recommendations to others considering Apache Sqoop:** Downloads of the related databases in Hadoop HDFS or HBase, where we can run the data analysis processes. It allows us both export and import functions. **What problems is Apache Sqoop solving and how is that benefiting you?** Data Ingestion Apache Sqoop is capable of ingesting both unstructured and structured data Importing data from RDBMSs Exporting data to RDBMSs Interactive analytics on RDBMSs ### 27. A handy tool for quick and easy data transfer **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** March 12, 2019 **What do you like best about Apache Sqoop?** Using sqoop on the command line has provided me a quick and easy way to transfer data into sandbox databases or data lakes. This has made it easier for people in Analytics roles like myself to get the data sources together quickly to create models using real data while not being in a production environment **What do you dislike about Apache Sqoop?** I have only ever used Sqoop as a command line tool but think an integration into a UI like Hue would be great **What problems is Apache Sqoop solving and how is that benefiting you?** I’ve been able to as an analyst work with data more efficiently and without needing to work with a developer to set up a data transfer process or manually pull data for me ### 28. Fantastic method to use ETL to transfer from RDBMS to Hadoop **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** April 23, 2019 **What do you like best about Apache Sqoop?** Great tool designed to transfer data between Hadoop and RDBMS databases or visa versa. **What do you dislike about Apache Sqoop?** Not much to dislike here. Tool worked well and had solid error handling throughout product **What problems is Apache Sqoop solving and how is that benefiting you?** Migration from large RDBMS to big data platform. Efficient, clean, and consistent methodology used to transfer data. ### 29. Data import /export using sqoop **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) **Reviewed Date:** April 20, 2019 **What do you like best about Apache Sqoop?** Sqoop works perfectly with Hadoop. The import export functionality is easier to perform using sqoop. It works well with both data warehouses and databases **What do you dislike about Apache Sqoop?** A little complex to debug issues as it throws irrelevant exceptions for complex tasks. **What problems is Apache Sqoop solving and how is that benefiting you?** I extracted multiple data sources via sqoop and Hadoop. The ETL process becomes much faster and cost efficient via sqoop ### 30. Reviewing Apache Sqoop **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Automotive | Enterprise (> 1000 emp.) **Reviewed Date:** April 18, 2019 **What do you like best about Apache Sqoop?** Sqoop can be used to load large chunk of data **What do you dislike about Apache Sqoop?** Sqoop uses JDBC connection to connect to RDBMS which is inefficient **What problems is Apache Sqoop solving and how is that benefiting you?** Importing and Exporting large chuck of data to and from RDBMS. It can be used for both structured and unstructured data ### 31. Apache: Advanced and Innovative **Rating:** 4.0/5.0 stars **Reviewed by:** Mike S. | CU, Higher Education, Mid-Market (51-1000 emp.) **Reviewed Date:** May 30, 2018 **What do you like best about Apache Sqoop?** This is an innovative and easy to use product. I feel like it helps the consumer to better run their business. I really believe it is central and one of the reasons why our business is successful. **What do you dislike about Apache Sqoop?** Overall, I believe the customer service could be better. However, I think that they are a very advanced company. I think the customer service could be better. However, that would be my only complaint or suggestion for improvement. **Recommendations to others considering Apache Sqoop:** I would suggest to contact customer support and ask any questions you might have, before purchasing the product. However, I believe it is well worth it to purchase the product. **What problems is Apache Sqoop solving and how is that benefiting you?** We are solving communication problems, specifically. I believe that we have realized the overall importance of the product and the service that it provides for us. Overall, I am extremely happy with the product and the help it has provided. ## Apache Sqoop Discussions - [What is Apache Sqoop used for?](https://www.g2.com/discussions/what-is-apache-sqoop-used-for) - [There is no pause & resume feature , is this going to be in upcoming versions ?](https://www.g2.com/discussions/33409-there-is-no-pause-resume-feature-is-this-going-to-be-in-upcoming-versions) - 1 upvote - [Is there any plan to present Sqoop in a user friendly format?](https://www.g2.com/discussions/32734-is-there-any-plan-to-present-sqoop-in-a-user-friendly-format) - 1 upvote - [View Apache Sqoop pricing details and edition comparison](https://www.g2.com/products/apache-sqoop/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-01+06%3A24%3A23+-0500&secure%5Bsession_id%5D=adf48448-8e79-4658-9232-12489cbf6f34&secure%5Btoken%5D=091aee53d4315d02e21499c7f205fcf805eddc8ca07f6862160806c9728d129d&format=llm_user) ## Top Apache Sqoop Alternatives - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) - 4.6/5.0 (95 reviews) - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) - 4.3/5.0 (194 reviews) - [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) - 4.4/5.0 (371 reviews)