Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.
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Apache Sqoop
Score 8.8 out of 10
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Apache Sqoop is a tool for use with Hadoop, used to transfer data between Apache Hadoop and other, structured data stores.
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Oracle GoldenGate
Score 8.7 out of 10
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Oracle Cloud Infrastructure (OCI) GoldenGate is a managed service providing a real-time data mesh platform, which uses replication to keep data highly available, and enabling real-time analysis.
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.
Altogether, I want to say that Apache Hadoop is well-suited to a larger and unstructured data flow like an aggregation of web traffic or even advertising. I think Apache Hadoop is great when you literally have petabytes of data that need to be stored and processed on an ongoing basis. Also, I would recommend that the software should be supplemented with a faster and interactive database for a better querying service. Lastly, it's very cost-effective so it is good to give it a shot before coming to any conclusion.
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
I think it's a great product. We apply Oracle GoldenGate to several use cases in our organization. 1. Business Continuity Planning, 2. Query Offloading through data replication to a reporting instance of our data, 3. looking into data transformations to help support various queries for different teams within the business.
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.
Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free
As Hadoop enterprise licensed version is quite fine tuned and easy to use makes it good choice for Hadoop administrators. It’s scalability and integration with Kerberos is good option for authentication and authorisation. installation can be improved. logging can be improved so that it become easier for debugging purposes. parallel processing of data is achieved easily.
Once set up, it's very easy to use and keep running, it's getting to that point that can make it cumbersome to some. Also, depending on the data that you want to replicate, the configuration files can become quite cumbersome to maintain. Learning curve can be high for some who are not as experienced with databases and transactions.
It's a great value for what you pay, and most Data Base Administrators (DBAs) can walk in and use it without substantial training. I tend to dabble on the analyst side, so querying the data I need feels like it can take forever, especially on higher traffic days like Monday.
Oracle Support for Oracle GoldenGate has been quite responsive and quite helpful in the few situations where we've needed it. Furthermore, the documentation on Oracle GoldenGate is so good that we often do not need to contact support with issues as the fix is already documented and able to be run by us without needing to open a ticket.
We've had Oracle consultants come as well for training days to talk about new features, parts of Oracle GoldenGate we may not be using and things of that nature. The consultants they send are great as they're very knowledgeable about all things Oracle GoldenGate and great resources for any questions or concerns you may have with the product.
We used Oracle University for our Oracle Golden Gate Training and it was top notch. We were able to turn our whole DBA team to Oracle GoldenGate newbies to Oracle GoldenGate troubleshooting experts in a matter of a few days, while this obviously did not come cheap, the company felt that it was worth the investment.
If Oracle GoldenGate is new to your organization, expose as many DBAs as possible to it. Having your whole team fluent in it will overcome early operational hurdles and allow it to more quickly become an accepted and supported part of your supported platform for your team that will enable the business to use it to its fullest.
Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.
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.
We use Oracle Data Guard as a backup tool, but not for data replication. Data Guard is not suited for real-time data replication in our non-normalized reporting database nor for the database we are using for our upgrade project, as Data Guard is not able to transform data and is not able to synchronize data into different schemas, which is necessary for our project. Additionally, our project database is on Oracle 12g not 11i: I am not 100% sure Data Guard is able to replicate from 11i to 12g
Have never had any issues with scaling Oracle GoldenGate itself, however Oracle GoldenGate Monitor does have scaling issues, but with Oracle GoldenGate now able to be monitored by Oracle Enterprise Manager, this is no longer an issue, in my opinion.
There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
Hadoop is quite interesting due to its new and improved features plus innovative functions.
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.
In earlier versions, DDL support was limited as well as the need of primary key constraints in the source tables. This made me create partitions, sub-partitions, truncatations and perform other operations upon they are performed in source systems and I need to discuss with source system administrators and need to convince them to let them create primary keys for replicated tables.
But both issues are solved now.
Installation is straightforward, easy.
Deployed everything within Oracle Data Integrator.
Developing 1000 of ODI interfaces for loading into Operational Data Store took not more than 100 man/days. But, adding them to Golden Gate is taking not more than 5 man/days.
Management Pack and VeriData are additional packs for your management and data verification needs.
