Apache Sqoop (discontinued) vs. Skyvia

Sqoop is great for sending data between a JDBC compliant database and a Hadoop environment. Sqoop is built for those who need a few simple CLI options to import a selection of database tables into Hadoop, do large dataset analysis that could not commonly be done with that database system due to resource constraints, then export the results back into that database (or another). Sqoop falls short when there needs to be some extra, customized processing between database extract, and Hadoop loading, in which case Apache Spark's JDBC utilities might be preferred

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Skyvia is easy to use and set up automated backups. It was one of several tools that we vetted for this purpose – and had the most favorable pricing and integrations to suit our needs. We wanted to have multiple CRM instances backed up daily and allow non-technical team members to manage this, as well as restore them in times of need. Skyvia has allowed us to do this with ease.

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• Provides generalized JDBC extensions to migrate data between most database systems
• Generates Java classes upon reading database records for use in other code utilizing Hadoop's client libraries
• Allows for both import and export features

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• Skyvia is good at scheduled bidirectional data integration to/from multiple sources
• The mapping is done automatically which saves a lot of time
• I like that all connectors are included in the price, so I don't have to pay for using some new ones additionally

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• 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.

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• If there's something they can improve could be cheaper prices for LaTam
• They can market their services in a larger scale, globally.
• They can market their services in a larger scale, globally.

Reliable, very simple to use, and a range of subscription tiers to suit different needs.

Cons:

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Loved using Skyvia for our projects, it saved time, allowed us to reach the desired outcome quickly and was easy to maintain. When we first used it we weren't sure we would be able achieve the outcome desired but during the trial it was quickly obvious we would be able to achieve what we needed for data connection and reporting.

I think guys have a really good support team, and even from different time zones we managed to get worthy support.

Simple to setup and maintain

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• Sqoop comes preinstalled on the major Hadoop vendor distributions as the recommended product to import data from relational databases. The ability to extend it with additional JDBC drivers makes it very flexible for the environment it is installed within.
• Spark also has a useful JDBC reader, and can manipulate data in more ways than Sqoop, and also upload to many other systems than just Hadoop.
• Kafka Connect JDBC is more for streaming database updates using tools such as Oracle GoldenGate or Debezium.
• Streamsets and Apache NiFi both provide a more "flow based programming" approach to graphically laying out connectors between various systems, including JDBC and Hadoop.

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Compared to similar user-friendly data integration systems like Integrate.io, Stitch, or Azure, Skyvia still wins in the number of connectors and pricing policy. Skyvia is a tool for companies like ours, starving for simple but, at the same time, robust and cost-effective data transfer solutions. It doesn't require additional knowledge for implementation and usage because it's no code. We'd recommend Skyvia as the best solution for non-technical staff.

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• When combined with Cloudera's HUE, it can enable non-technical users to easily import relational data into Hadoop.
• Being able to manipulate large datasets in Hadoop, and them load them into a type of "materialized view" in an external database system has yielded great insights into the Hadoop datalake without continuously running large batch jobs.
• Sqoop isn't very user-friendly for those uncomfortable with a CLI.

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• The core of our business lies in analyzing data from various sources, and while ETL itself is not our primary focus, it is a necessary process to achieve our goals. Thanks to Skyvia, we are able to streamline the ETL process at a reasonable price, allowing us to dedicate our efforts to data analysis without the burden of ETL complexities.

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