Oracle Autonomous Data Warehouse is a cloud-based service offering advanced data management capabilities, including automated administration and high performance for analytics tasks. It is ideal for enterprises prioritizing security, easy maintenance, and dynamic scale.
| Product | Mindshare (%) |
|---|---|
| Oracle Autonomous Data Warehouse | 4.7% |
| Snowflake | 15.1% |
| Databricks | 9.7% |
| Other | 70.5% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Cloud Data Warehouse | Jun 23, 2026 | Download |
| Product | Reviews, tips, and advice from real users | Jun 23, 2026 | Download |
| Comparison | Oracle Autonomous Data Warehouse vs Snowflake | Jun 23, 2026 | Download |
| Comparison | Oracle Autonomous Data Warehouse vs Teradata | Jun 23, 2026 | Download |
| Comparison | Oracle Autonomous Data Warehouse vs BigQuery | Jun 23, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Databricks | 4.1 | 9.7% | 96% | 94 interviewsAdd to research |
| Teradata | 4.1 | 8.8% | 88% | 83 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 88 |
| Midsize Enterprise | 34 |
| Large Enterprise | 128 |
Oracle Autonomous Data Warehouse stands out by offering self-managing capabilities that minimize administrative overhead, allowing organizations to focus on data-driven decision-making. With features such as transparent data encryption, seamless cloud integration, and automated query tuning, it ensures secure and efficient data operations. Its architecture separates compute and storage, enhancing scalability and performance. Despite its setup complexity and higher cost than some competitors, it offers deep integration with Oracle Database, ensuring reliable performance and fast data exchange.
What features define Oracle Autonomous Data Warehouse?Oracle Autonomous Data Warehouse is widely used in finance, banking, transport, and manufacturing, supporting data analytics in financial systems, procurement, and student management. It facilitates large-scale transaction processing, offering centralized reporting and dynamic resource allocation, which is crucial for enhancing performance across industries.
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| Author info | Rating | Review Summary |
|---|---|---|
| Global Head of Architecture at a financial services firm with 1,001-5,000 employees | 3.5 | I utilize Oracle Autonomous Data Warehouse for online applications in the financial industry. Its valuable features include self-repair, self-tuning, and the ability to scale storage and compute independently, though the setup process can be complex. |
| IT Administrator at a manufacturing company with 1,001-5,000 employees | 3.0 | We use Oracle Autonomous Data Warehouse for analytics and data security, and we're generally satisfied. However, I find the SQL performance sometimes slow and the lack of Java support inconvenient. Our transition from on-premise Oracle felt natural. |
| Senior Data Archirect at Yettel | 4.5 | I find Oracle Autonomous Data Warehouse easy to set up and maintain, offering dynamic resource allocation. However, reducing storage after expansion is challenging. Experienced users can enhance performance, while beginners benefit from its simplicity over Oracle Exadata. |
| CTO at a hospitality company with 1,001-5,000 employees | 5.0 | I used Oracle Autonomous Data Warehouse for analytics in supply chain, finances, and COVID-19 projects. Its self-backup feature is valuable but lacks an on-premises option. I've also worked with OBIEE, Tableau, and Amazon Redshift, which impressed me. |
| Global Head of Architecture at a financial services firm with 1,001-5,000 employees | 5.0 | In our company, we use Oracle Autonomous Data Warehouse primarily for online transaction systems. It offers valuable features like flash cache, segregated IO, and smart scan. While the tool is comprehensive, the installation process could be simplified. |
| Data Architect at a computer software company with 51-200 employees | 4.0 | Oracle Autonomous Data Warehouse is easy to configure and create reports with, but its pricing is higher than Azure. Improvements are needed for JSON configuration and pricing flexibility. Despite the costs, we plan to expand its use for historical accounts. |
| Co-Founder at Quantic | 3.5 | I find this solution stable and scalable, excelling with structured data and Oracle DB integration for data warehouses. However, it isn't ideal for big, unstructured data or online analytics compared to Hadoop. I rate it 7/10. |
| Web Developer at NuBean | 5.0 | I appreciate Oracle Autonomous Database for its self-driving, self-securing, and self-repairing features, delivering high availability and ROI. I'd like improved migration tools from other cloud services and more granular administrative control, especially for DBAs. |
| Digital Project Delivery Manager at a computer software company with 51-200 employees | 3.5 | Oracle Autonomous Data Warehouse is used by our clients in various sectors, including universities for student management, and is appreciated for its ease of use as a cloud-based solution. However, its autonomy is less effective than expected, limiting functionality. |
| Senior Data Warehouse Developer at a transportation company with 5,001-10,000 employees | 4.0 | I find Oracle Autonomous Data Warehouse valuable because it streams data faster in real-time. However, improvements are needed for user-friendliness and better integration with GoldenGate. Previously, I used Snowflake, but it was significantly slower. |
We use the product for online applications. We use it in the financial industry.
The product has self-repair features. The tool tunes itself. It separates compute from storage. We can scale storage and compute separately.
The setup is complex. Oracle is a complex tool.
I have been using Oracle Autonomous Data Warehouse for five years.
The product is based on Oracle Engine, which is over 40 years old. It has been stable for a long time.
I rate the product’s stability a nine out of ten.
The product scales automatically. We don't have to do anything.
I rate the solution’s scalability a nine out of ten.
We pay for support. As long as we pay for it, we get good support. If we don’t pay, we don’t get good support.
I rate the quality of unpaid support two out of ten, but paid support is eight out of ten.
Positive
The setup is complex. I did the deployment myself. The tool is very agile. It maintains itself. Once it is set up right, there is nothing else to do.
I rate the ease of setup a six out of ten.
The solution is expensive. I rate the price an eight out of ten.
I am using the most recent version of the solution. We are primarily an Oracle shop. The tool does its job. I will recommend it for OLTP.
Overall, I rate the product a seven out of ten.
The solution is used for analytics and it works for our data security needs. We continue to use it with satisfaction.
Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not supported, which is not ideal.
The product is scalable if we have sufficient funds. It is quite expensive, so we are looking for ways to save money.
We are not satisfied with the technical support. Their understanding is lacking. When we post an issue, they do not understand it, leading to a lot of irrelevant questions.
Negative
We are also using on-premise Oracle, so it is natural for us to transition to this cloud solution.
We pay approximately $70,000 per month. The cost includes maintenance and support.
I would rate Oracle Autonomous Data Warehouse six out of ten. If necessary, we will consider exploring other options.
Oracle Autonomous Data Warehouse can be useful for data warehousing. It's easier to do setup and maintenance compared to Oracle Exadata. For some users, if it is satisfying, they can use it very easily because you don't have to do anything, including any kind of streaming or special kind of physical design for most of the use cases, making it easy to use. It is very easy to expand and allocate dynamic resources because you can use some processing units of Oracle which are virtualized. In the product, considering the processor power and memory, you can easily add processing units to make your system more powerful, which can be planned. For working hours, you can use as many processing units of Oracle, while later, you can reduce its use. For test purposes, you can use fewer processing units of Oracle on the platform, and you can switch it off and activate it only when you need to develop something. The processing units are very flexible. Using the tool means payment for resources has to be made. The tool makes it very easy to use the space provided in the product because you can add one terabyte or gigabyte to your space. For somebody who knows how to use the features of the tool and go deep into its physical design, everything becomes available, including Oracle Exadata on Oracle Autonomous Data Warehouse. So people who are experienced and know Oracle Autonomous Data Warehouse can use the product to improve performance and do better design, making it more efficient. Somebody who doesn't know how to use the tool and does not have people to help can use it with a much simpler approach.
There is a need for more storage to be allocated, but over a period of time, it becomes impossible to reduce it after using it. If you use more storage and don't need it in the future, then you have to remove some data and use less storage. You cannot dynamically add and reduce processors in the product. If you choose a larger storage capacity, later on, it is not easy to reduce the storage allocated. The aforementioned details contain areas that can be improved in the product.
I have experience with Oracle Autonomous Data Warehouse for over a year since I have customers using it.
It is a stable solution since Oracle Exadata runs in the background.
It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions.
In my company, 10 to 10,000 users can be there for the solution depending on the need. In my case, 500 users prefer the solution.
It is a tool that is regularly used in my company.
I use Oracle Exadata.
The initial setup of Oracle Autonomous Data Warehouse is easy and basic, especially if one doesn't use the tricks to get Oracle Exadata for use. One doesn't need to know or be involved in technical stuff to do the setup since, at the least, knowledge might be required when working with some external connections, but it is easy because everything can be done within a couple of clicks.
The solution is deployed on the cloud.
For deployment, you don't need any technical guidance since you can sit, find it on the web, and prepare an Oracle Autonomous Data Warehouse platform by yourself for free for a limited time.
The people needed for the deployment and maintenance depend on the implementation one wants. If you do a simple implementation, you don't need anybody for maintenance since everything is on the cloud. You only have to schedule your backup or see if Oracle can schedule a backup, and you don't take care of the backup. For some more sophisticated or technical implementations, you will need staff for some data warehouse except for some parts of the maintenance like backup, patches, or upgrades since these are a few things you take care of in the background, and you only seek help with the maintenance part, if needed.
The licensing cost of the product can vary since you can integrate it very easily with other products or other cloud products, which for some companies, is very beneficial.
You pay as you use it, so it is not yearly or monthly payments to be made toward Oracle. It is like hiring a cab where you need to pay depending on your ride. You can use the six processor units for five hours every day and then three processor units for the rest, but as you use it, you pay. Oracle should have calculated the costs on a monthly level, but you can have some kind of agreement with them and see the way of payment of usage. What is important for companies that already own some licenses, including for on-premises tools from Oracle sources or Exadata, which is like a hardware solution appliance, is that they can use the licenses. If companies plan to move to the cloud solution, like in the case of Oracle Autonomous Data Warehouse, the licenses owned by them will get included in their overall cost for the solution, lowering the costs.
To those planning to use the product, I would say that if your implementation is not so complex, and if you don't have the knowledge, experience, and people who can help with the product, you can use this in this simple way. You will have to spend more on CPU units and disk space to get the desired results from Oracle Autonomous Data Warehouse. You will spend on storage costs. If you know the tool, then you can use it in a different way, which might not be through a completely automatized approach, but by using different physical designers. If you know the tool, you can use it more efficiently to get better performance and make better use of storage, making it more efficient and cheaper.
Oracle Autonomous Data Warehouse is based on Oracle Exadata in the background, because of which one can't see it directly. The capabilities of Oracle Exadata in regard to large clusters is like some usual cloud database from Oracle which makes it very easy for some basic setup processes.
The product's compatibility is better than Redshift or other solutions for somebody who knows how to use it. The costs attached to the solution can be lowered if you know how to use it.
For some serious implementation, Oracle Autonomous Data Warehouse is a good tool since it is not a product for playing around with or for small companies, as it can be very expensive. For some larger companies and some serious implementations, they should take Oracle Autonomous Data Warehouse into account and compare it with other cloud solutions and see what is more suitable for them.
Most of the solutions are comparable to each other. It all depends on what is better for some customers and which technology a customer prefers. The good part of Oracle Autonomous Data Warehouse is that there is no dependency on the amount of data written or read from the cloud. When you use some other cloud solution, you don't pay only for data storage on the cloud, but also you pay for the data written or read from the cloud. Every time you write or read data on the cloud, it gets counted. You pay for the throughput or transfer of data from one cloud to another cloud. In the case of Oracle Autonomous Data Warehouse, you don't have to pay.
Overall, I rate the solution a nine or ten out of ten.
The primary use cases mainly were around descriptive analytics and diagnostic analytics. We implemented the solution for one of the projects to cover the supply chain and the finances. In the supply chain, the focus was on the sales side and the procurement side. In the financial part, the solution was used mainly for reporting and some metrics like cash-to-cash cycle time.
The second project was for the public sector during the COVID-19 time, where we integrated multiple sources from the government to be in a single hub for the COVID-19 situation. We built some predictive models, and it worked well at that time.
The third project was also a manufacturing company, and the focus was on manufacturing. It had near real-time integration of the manufacturing line with the IoT platform.
The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup.
Oracle Autonomous Data Warehouse is not available as an on-premises solution.
I have been using Oracle Autonomous Data Warehouse since 2018.
Oracle Autonomous Data Warehouse is a scalable solution.
I have previously worked with OBIA (Oracle Business Intelligence Applications), OBIEE (Oracle Business Intelligence Enterprise Edition), Tableau, and Amazon Redshift, which is a data warehouse product. I was very happy with Amazon Redshift because it was a pretty good product.
Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors. Oracle provided us with the best price we received from any cloud vendor.
There is a master data management, and there is another data management where you will ingest the data, start the calculation, and develop some dashboards.
We did not cover the master data management inside Oracle Autonomous Data Warehouse. We implemented some concepts like Data Safe and have done some encryption and masking for the database with full support from Oracle Autonomous Data Warehouse. The way it was streamlined was very simple.
When it's connected to the data source, it is very simple to build a pipeline through EDI and another product for the pipeline. The acting variable was the default data load, and the acting variable would be the incremental load. Sometimes, they call it delta loading, and it's acting very well with the management of the environment of the data warehouse.
Since it has self-backup and self-management capabilities, we did not need a specialized person to manage the infrastructure or solution from the DBA point of view. The solution acted pretty well regarding the dashboards and building some KPI dashboards and analytics.
Oracle Autonomous Data Warehouse is a scalable solution because it is cloud-based. The tool can be easily scaled up and scaled down. You can do it automatically or manually. Since it is self-tuning, you don't need to pay attention to the tuning part of Oracle Autonomous Data Warehouse. The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup.
When it comes to AI, you will find it a lot on the analytics side. You will find two functionalities in the analytics. The first one is the Insights functionality, which allows you to understand your data by giving you some insights, statistics, and personal understanding of the data.
The Insights functionality powered by AI will translate the data to give you the best understanding of the data. It will suggest some KPIs, dashboards, and analytics so that you don't need to pay attention to how to understand your data and from where you have to start using dashboards. This is the first part.
The second part is called augmented functionality. AI can generate an automatic dashboard that best fits your visualization through this augmented functionality. Suppose you have ten columns and don't know the right dashboard or visualization you need to create. You need to right-click and go to create the best visualization.
It will automatically create the best-fit visualization for you. AI is managing insights and augmented functionality for the solution. This will eliminate the need for business users to have IT staff or specialists to develop dashboards or visualization. They can do it and discover the data by themselves.
I would not recommend the solution for public sector companies in the Gulf region that have problems with compliance. You need to comply with the compliance for the cloud providers. They don't want to host their data on the cloud. They need it to be on-premises. Oracle Autonomous Data Warehouse is not available as an on-premises solution.
You have to use another solution, such as an enterprise database. This is a major challenge, but it is also a general challenge in the Gulf region. The second challenge is that Oracle Autonomous Data Warehouse doesn't want to host its data outside its data center.
Oracle Autonomous Data Warehouse is a scalable solution. If you read the Oracle roadmap, you will find that they are taking steady steps to make it the best solution globally. Whatever you need for your journey to build a data warehouse solution or analytics side, you will find a roadmap or alternative solutions through the OCI in general.
Suppose you need to deal with a data lake at a specific time. You will find a data lake inside OCI and integrate it with Oracle Autonomous Data Warehouse. Suppose you need some Cloudera components for a specific case. Within six hours to one day, you can easily configure the Cloudera environment and do some pipeline or streaming from Kafka or HDFS from the Hadoop platform powered by Cloudera.
I believe that it is very scalable. Oracle has very good capabilities when it comes to data warehouse and data management in general. Oracle is the best database in the world. Oracle Autonomous Data Warehouse is nothing but a relational database.
I would recommend the solution to other users.
Overall, I rate the solution ten out of ten.
Mostly, we use it in our company for online transaction systems.
Oracle Autonomous Data Warehouse has plenty of valuable features. It has large amounts of flash cache. It has segregated IO. It has something called smart scan, which other databases don't have. It has got plenty of stuff in the database.
Nothing comes to my mind that needs improvement in the tool. It pretty much has a whole great set of features.
The installation process is complex. Oracle can make the installation process better.
It is a very stable tool.
It is an extremely scalable tool.
I rate the technical support a ten out of ten.
The initial setup is complex. It is not a simple product, so it is complex.
The number of people required to maintain the solution depends on the database size. Also, it depends on the number. There is no formula stating that if I have two databases, then two people are needed. In short, it is very much dependent upon where it is being used.
In terms of price, Oracle falls around the higher end, but that's because it's a superior product. On a scale from one to ten, where one is a low price and ten is a high price, I rate the pricing an eight.
It is a top-notch product. I rate the overall product a ten out of ten.
My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on top of a JSON file with multiple array columns or superset columns, those column values create some difficulty in Oracle.
In terms of architecture and pricing structure, I feel it is a little bit costly compared to Azure. It's fine compared to RedShift, but compared to Azure, it's a bit pricey when you calculate for one TB storage plus around five hours of reporting with the frequency of 1TB data. The cost adds up, making Oracle a bit expensive.
There are two clusters I'm expecting to improve. The super set datasets need a bit of enhancement, especially the column values that come with the super in these. There's a separate column called super. Those kinds of elements have to be improved in Oracle.
Another aspect is the pricing strategy, which should come with different options. Cloud users prefer keeping their applications in OCI cloud. Many are moving to Postgres for savings. That's a great deal for us.
We recently moved our Oracle database to Postgres, saving a significant amount. Oracle Autonomous Data Warehouse should consider more flexible pricing strategies based on usage to accommodate the diverse needs of users.
In future releases, I would like to see better support for various file systems when creating tables. Plus, a bit more focus from the Oracle community on improving things. And lastly, the pricing strategy could be tweaked to leverage the power of Oracle Autonomous Data Warehouse further.
I have been using it for two years.
The community support is top-notch. We can almost always find answers, even for new file formats. That's what initially drew us to Oracle. Knowing a strong community was there to help us overcome any challenges was a major deciding factor. So, I'd rate the support a solid nine out of ten, maybe even nine and a half.
Positive
I've also used AWS Redshift and Azure Synapse Analytics. I worked with Redshift and now Snowflake Query Service. On top of Snowflake, I used Resideo and others. I even played with some open-source options like PNOC.
In the market, the main players are Azure, AWS Redshift, and Oracle Autonomous. But compared to the others, configuration is much easier in Autonomous.
Now, in terms of creating and reporting for our current needs, it's pretty easy.
We're planning to keep working on Oracle Autonomous. We'll apply it to historical accounts only for now. Once this project wraps up, we plan to move all our accounts to Oracle.
The initial setup is fine if compared to RedShift; this is easy.
On AWS or Azure, spinning up a data warehouse involves things like Glue jobs, schedules, file transfers from S3, crawler configurations, and processing shifts. It's a whole orchestration!
With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main reason we use it.
Postgres is the first reason, and the second one is it's easy. That's one of the main reasons we haven't migrated away yet. It frees us from the complexities of server and configuration management, allowing us to focus on what truly matters: reporting and queries.
Cost-wise, it's a solid seven out of ten. A bit costly, but it is a good tool.
I recommend it, mainly because we don't need to work on configuration compared to others. There is no need for those manual setup steps.
However, users should be aware of potential file strategy differences and some technical nuances versus other data warehouses. Overall, though, it's a smooth transition.
Configuration and administrative side? I would rate it as nine and a half out of ten.
But for development, data fetching, fixing, and applying algorithms, I would rate it a seven out of ten due to compatibility issues, extra coding, and other needs.
Performance tuning, however, shines at eight to eight and a half! It automatically indexes and tunes based on my tables, saving me loads of work.
It is used by banking customers. Oracle is strong in banking, and many of their existing customers do use or continue to use Oracle solutions.
One advantage is that if you already have an Oracle Database, it easily integrates with that.
If you are using structured data, it works pretty well. They have engineered their hardware, which is based on Sun, to work with their database and data warehouse in an optimal way. So, the data exchange is extremely fast and good. If it is just tabular data, it works really well. I like that part.
It is good as data warehouses go, but it is not that good for really big data.
It doesn't work well when you have unstructured data or you need online analytics. It is not as nice as Hadoop in these aspects.
It is stable.
It is scalable. It is good for data warehouses, but it is not that good for big data. In the environments where I have seen it being used, there were probably 20 to 25 people working with this solution.
I would rate them a four out of five.
Positive
We also work with Hadoop and Teradata. We are neutral, and we are open to working with any of them. There is no preference.
Its setup is somewhat simpler than Hadoop because it does not have so many components. We have had two—in some cases, three—people in the past for the deployment.
In terms of maintenance, after some time, you probably don't need permanent staff for maintenance. Once it is in a steady state, our observation is that the clients can survive with on-call support. The IT department of the bank is able to manage without external consultants. They do the operational stuff, and if there is a problem, we help them, but after some time, support is not required 24/7. Previously, it was also available on-premises, and then they re-architected it to be on the cloud. Now, they're on the cloud, which is another reason it does not require on-premises support.
I don't have any reliable data, but the customers are okay with it. They have not had any complaints.
Cloud solutions are cheaper, but in the long run, they may not be much cheaper. They certainly have a lower initial cost.
The licensing is yearly, and it is based on the size of the hardware and the number of users.
I would rate it a seven out of ten.
The solution can be used for many things, including:
No database installation, configuration, or maintenance is needed.
The autonomous database provides several benefits and unmatched performance. It is self-driving, self-securing, and self-repairing.
Self-driving implies that all routine administration tasks including provisioning, performing backups and recovery, making fault-tolerant fail-overs, applying patches, performing upgrades, optimizing and tuning for performance, and scaling are all fully automated.
Self-securing implies that all data is encrypted and security updates and patches are applied automatically both periodically and off-cycle. The option for encryption keys to be managed by a user is provided.
Self-repairing implies that the database detects and recovers from failure of any sort, such as a single node failure, without user intervention.
The product is available on Oracle Cloud.
It guarantees 99.995% up-time.
There is no installation, configuration, or maintenance needed.
It integrates easily with other cloud services.
The product is self-driving. All routine administration tasks including provisioning, performing backups and recovery, making fault-tolerant fail-overs, applying patches, performing upgrades, optimizing and tuning for performance, and scaling are all fully automated.
The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle.
The service could be improved by:
I've used the solution for more than three years.
The product is highly stable. Oracle Autonomous Database is a next-generation, first-of-a-kind, revolutionary, mission-critical data management in the cloud service. The autonomous database eliminates the need for data management by a database administrator (DBA) which is error-prone.
Stability implies that the database is reliable with guaranteed 99.9% Availability. The database recovers from failures automatically.
The solution has automated scaling based on need and usage.
The product offers excellent support.
Positive
We previously used AWS RDS and switched to Oracle Autonomous Database due to its ease of provisioning and access.
No setup is required as the service is fully automated, and runs on Oracle Cloud. Only an account registration is needed.
We did not use a third-party vendor.
We've seen an ROI of +90%.
Setup cost is not an issue as the service is on Oracle's Cloud. The Oracle Cloud Free Tier is an always free cloud service, with limited resource capacity.
We have a number of clients that are universities. They use the solution for student management. We also have clients in transport, banking, and science domains.
The product is easy to use. I like that it is cloud-based.
The tool is not as autonomous as it's led to believe. A lot of the tools that were previously there have now been taken away. If we write our queries in the same way, then it doesn't trigger the autonomy in the way that it should.
I have been using the solution since it was released.
I rate the tool’s stability a ten out of ten.
I rate the tool’s scalability a ten out of ten.
The product is easy to set up, but it can be very difficult once you get beyond the autonomy. The solution could be deployed on public, private, and hybrid cloud environments. The time taken for deployment depends on the client.
The price depends on the configuration we choose. It can vary massively.
We provide technical support to our customers. Overall, I rate the solution a seven out of ten.
The solution helps stream the data faster and in real time.
They should add features to make the solution more user-friendly. They should work on making its integration with GoldenGate easier. It would increase work efficiency while loading the data into the data warehouse.
We have been using the solution for twenty years.
It is a stable solution.
The solution is scalable, and I rate its scalability as an eight. We have 20 users of the solution in our organization.
The solution's support team responds well to specific issues. But sometimes, they suggest we refer to the manual, which is not helpful.
The solution's initial setup is straightforward. But, the implementation gets too complicated when we load the data from different systems into our data warehouse.
The solution's cost is reasonable. I rate its pricing as a five.
I rate the solution as an eight.
