Cloudant is an open source non-relational, distributed database service that requires zero-configuration. It's based on the Apache-backed CouchDB project and the creator of the open source BigCouch project.
Cloudant's service provides integrated data management, search, and analytics engine designed for web applications. Cloudant scales your database on the CouchDB framework and provides hosting, administrative tools, analytics and commercial support for CouchDB and BigCouch.
Cloudant is often…
$1
per month per GB of storage above the included 20 GB
SAP HANA Cloud
Score 8.9 out of 10
N/A
SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.
$0.95
per month Capacity Units
Toad Database Developer Tools
Score 8.8 out of 10
N/A
Toad by Quest is a database management toolset that database developers, administrators and data analysts use to simplify workflows, create code free from defects, automate frequent or repetitive processes, and minimize risks. Editions include Toad for Oracle, which automates administration tasks and helps proactively manage databases while embracing performance optimization and risk mitigation. Similar editions exist for IBM DB2, SQL Server, SAP, or MySQL and Postgres environments (Toad Edge).
$229
per year
Pricing
IBM Cloudant
SAP HANA Cloud
Toad Database Developer Tools
Editions & Modules
Standard
$1
per month per GB of storage above the included 20 GB
Standard
$75
per month 100 reads/second ; 50 writes/second ; 5 global queries/second
Lite
Free
20 reads/second ; 10 writes/second ; 5 global queries / second ; 1 GB of storage capacity
Our organization found Cloudant most suitable if One, a fixed pricing structure would make the most sense, for example in a situation where the project Cloudant is being used in makes its revenue in procurement or fixed retainer — thus the predictability of costs is paramount; Two, where you need to frequently edit the data and/or share access to the query engine to non-engineers — this is where the GUI shines.
I think if you have a large organization, it's probably the product and the marketplace to go to. We're a large management consulting firm operating in four to seven countries. And generally speaking, I think that's the size and the scope where it scales best. I can't speak to smaller companies, but I can't see smaller companies leveraging the benefits as much as a larger organization can.
Toad for Oracle is very well suited for all Oracle implementations, be it single instance or RAC. It is best suited for use of Oracle DBA, Developer and Database Engineers. I don't recommend Toad for Oracle for Project Managers or Solution Architects. This can be a pricier choice for these people. They can do fine with free options like SQL Developer.
Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information.
Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data.
Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions.
Toad is a de-facto standard tool for data developers and analysts. Generally speaking it provides almost every function needed to manage data in EDW with great performance and stability.
The nature of clinical data is big-sized: one table may have billions of rows. Toad provides critical functions to manage SQLs, e.g. Top SQL that can monitor and manage SQLs using CPU power and network bandwidth, so that EDW administrator can optimize ETL operations in the best efficiency.
Many of our data analysts are not computer science backgrounded (having clinical / nursing background). Toad provides great auditing tools such as Tuning Lab or SQL Scanner, so that data analysts can train themselves with guidance of the tool.
Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
Lack of clarity on licensing is one major challenge
Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4
The power and control it gives is at the same time kind of a negative thing. There's too many options available, even when you don't need them. For simple database operations it's sometimes easier to just use SQL Developer since navigation is way more intuitive and easy.
Related with the above: there is a steep learning curve. However, since this is the main tool for any Oracle developer, this is not that much of a problem.
If I remember well, Toad used to be free, some 20 years ago. Or at least had a free version. It would be nice to have a free version. The dedicated Oracle developers and DBA's won't use the free version, but all the rest of us developers might use it instead of SQL Developer. It would make communications between everybody somewhat easier.
the flexibility of NoSQL allow us to modify and upgrade our apps very fast and in a convenient way. Having the solution hosted by IBM is also giving us the chance to focus on features and the improvement of our apps. It's one thing less to be worried about
We would rate our likelihood of renewing at 9/10. SAP HANA Cloud has proven to be a highly reliable and scalable data platform that consistently delivers strong performance. Its seamless integration with our overall SAP landscape, combined with improved analytics and real-time data capabilities, makes it a core part of our long-term technology strategy.
It's mostly just a straight forward API to a data store. I knock one off for the full text search thing, but I don't need it much anyways. Also, the dashboard UI they give is pretty nice to use. It provides syntax-highlighting for writing views and queries are easy to test. I wish other DBs had a UI like this.
It is very useful solution which provides you speedier data processing, real-time analytics. It helps you manage diverse data types. It also offers you excellent disaster management. It has user friendly interface which helps you navigate system and transactions easily and perform task smoothly.
I give is an 8 because nothing is a 10 and there is always room for improvement. I believe the user who is not as technologically inclined would be better suited with an easier way to identify the options for setting the layout up for Toad's GUI. To some it is very cumbersome and confusing.
it is a highly available solution in the IBM cloud portfolio and hence we have never had any issues with the data base being available - we also do continuous replication to be on the safer side just in case some thing goes awry. We also perform twice a year disaster recovery tests.
very easy to get started and is very developer friendly given that it uses couchDB analytics. It is a cloud based solution and hence there is no hardware investment in a server and staging the server to get started and the associated delays/bureaucracy involved to get started. Good documentation is also available.
However, I am not the right person to answer this as we have another department to handle support and contact the service provider for any support required. Although i will say that they are the quick respondent and knows how to handle querry of the customers and provide quick and better support.
I give the overall support for Toad for Oracle a 10/10. This is because whenever there has been an issue with this software, our team has got an immediate response. The same can not be said for similar software. The most recent example of this is when we needed to renew our licenses. Some employees were unable to log in to code with the given license key. Support was able to resolve the issue quickly.
online resources are good enough to understand but there is nothing like testing. In our case, we discovered some not documented behavior that we take in count now. Also, the experience in NodeJs is critical. Also, take in count that most of the "good practices" with cloudant are not in online courses but in blogs and pages from independent developers
Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.
The feature-set, including security, is very comparable. Overall, IBM's services added to the product are mature and stable, although product support and engineers could be a little better. Global availability is improving, and Disaster Recover Capabilities are great. Overall, it's very comparable to MongoDB as a DBaaS offer, available globally and with great documentation.
I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.
Toad is much better than Tableau query writer. Tableau is not intuitive and requires knowledge of proprietary database language to fully implement. Tableau does not perform as quickly and accurately as Toad. Toad is very easy and slim to install. Additional hardware is often required to run Tableau smoothly. Support for Tableau is even more expensive than Toad support.
The service scales incredibly well. As you would expect from CloudDB and IBM combination. The only reason I wouldn't score it a 10 is the fact that document trees can get nested and nested very quickly if you are attempting to do very complex datasets. Which makes your code that much more complex to deal. Its very possible we could find a solution to this problem with better database planning to begin with, but one of the reasons we chose a service over a self-hosted solution was so we could set it up quick and forget about it. So we weren't going to dedicate a team to architecture optimization.
Quick and easy query development helps reduce man-hours in a project which converts to real dollars.
Query analysis and tuning result in low database overhead and low latency, thus translating into real dollars because a system can thus handle more requests from customers.
Ease of use makes it easy to deploy greenhorns in projects with minimal training, thus helping save money. Otherwise menial and simple jobs would have required experienced DBAs.
