Oracle Autonomous Database provides a self-driving, self-securing, self-repairing cloud service that eliminate the overhead and human errors associated with traditional database administration. Oracle Autonomous Database takes care of configuration, tuning, backup, patching, encryption, scaling, and more.
N/A
Amazon Redshift
Score 8.9 out of 10
N/A
Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.
$0.24
per GB per month
Pricing
Oracle Autonomous Database
Amazon Redshift
Editions & Modules
No answers on this topic
Redshift Managed Storage
$0.24
per GB per month
Current Generation
$0.25 - $13.04
per hour
Previous Generation
$0.25 - $4.08
per hour
Redshift Spectrum
$5.00
per terabyte of data scanned
Offerings
Pricing Offerings
Oracle Autonomous Database
Amazon Redshift
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Oracle Autonomous Database
Amazon Redshift
Features
Oracle Autonomous Database
Amazon Redshift
Database Development
Comparison of Database Development features of Product A and Product B
Oracle Autonomous Database
7.2
24 Ratings
16% below category average
Amazon Redshift
-
Ratings
Version control tools
6.213 Ratings
00 Ratings
Test data generation
5.714 Ratings
00 Ratings
Performance optimization tools
8.224 Ratings
00 Ratings
Schema maintenance
9.023 Ratings
00 Ratings
Database change management
7.015 Ratings
00 Ratings
Database Administration
Comparison of Database Administration features of Product A and Product B
Pro - Stability. Does everything anyone could need. If it's not there it will be on the next update. There is plenty of support for it. It's been around for a long time and it's reliable. The support is well documented and has a great reputation. Cons - Errors have been found in the documentation provided by Oracle with guidelines, etc. Oracles salespeople have a reputation of being obnoxious and condescending.
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)
[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.
There is no access to the physical host of the DB. This is expected from a managed DB. Everything must be done through the console or via API calls. This is a new learning curve for the DBAs.
Due to the lack of physical host access, certain features are not supported, such as Transportable tablespaces and Oracle LogMiner.
Certain special data types, (such as XMLType) are not allowed; be sure the app vendor certifies their product on this platform.
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.
Because it does exactly what we need: it enables us to manage our development and testing database environments in a quick and simple way without requiring support from a database administrators team.
The product is continuously evolving and new features are added frequently. Management options through the OCI (Oracle Cloud Infrastructure) console and through the command line and API are being enhanced frequently.
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.
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
I found Oracle Autonomous Database very secure to store data and private information.I always feel secure with Oracle Autonomous Databases disaster recovery features.It is very effective to build applications for mobile and desktop devices lesser code using a low code development framework namely Oracle Application Express (ApEx).
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.
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.
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.