Oracle Autonomous Data Warehouse vs. Oracle GoldenGate vs. Amazon Redshift

II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.

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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.

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If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)

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• Very easy and fast to load data into the Oracle Autonomous Data Warehouse
• Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
• Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
• It is always patched and always available and you can add storage dynamically as you need it.

• As the product under the Oracle umbrella, it perfectly and natively supports the Oracle database very well.
• For the standard scenario and use cases, the configuration is straight-forward (in our case uni-direction copy from source to target).
• It is robust and the performance meets our SLA, even for a large amount of data volume.
• The error report is not only detailed but hits the right points, so trouble shooting is easy.

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• [Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
• [Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
• [Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
• [Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.

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• It is very expensive product. But not to mention, there's good reasons why it is expensive.
• The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
• Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.

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• The earlier versions of Golden Gate were complex to use as there was no front end. All that works was the command line.
• The cost of the product can be a detriment to most companies.
• The product has been augmented over the years and has so many features that it can be overwhelming.

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• We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
• Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
• Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.

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Because

• It is really simple to provision and configure.
• Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
• Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.

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Oracle GoldenGate is a core part of our business.

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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.

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Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.

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Oracle GoldenGate has only gone down for us when the data being sent was bad.

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Oracle GoldenGate's performance is great for our use cases. Your mileage may vary.

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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.

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The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support

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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.

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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.

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Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.

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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.

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As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it

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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

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Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS).
Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.

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Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.

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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.

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• Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
• Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
• All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.

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• 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.

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• Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
• Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
• Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.

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