InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is is the next generation of InterSystems' data management software. It includes…
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RavenDB
Score 8.1 out of 10
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RavenDB is a NoSQL Document Database that is fully transactional (ACID) across the database and throughout clusters. The database minimizes the need for third party addons, tools, or support to boost developer productivity and get projects into production fast. Users can setup and secure a data cluster deploy in the cloud, on-premise or in a hybrid environment. RavenDB offers a Database as a Service solution, allowing users to pass on all…
Tibco was not originally planned to be used for HL7 Integrations and as such we had to create some very complicated processes in order for the messages to parse and validate appropriately. It was simply not built for this type of interoperability. Comparatively, InterSystems …
The database, integration engine, and load balancer are all in one place. This is advantageous because 1) there are no hidden costs and it is also far easier to set up the network configuration. 2) The sales engineers are very willing to help in any situation and they are also …
InterSystems IRIS includes a wide array and assortment of otherwise stand-alone solutions. Having a single platform to support database interoperability, storage, and analytics, let alone Security and SQL tools is a great advantage over solutions that tackle a single aspect of …
The best software on the market, the capacity for analysis, storage and security in the handling and storage of data, provides you with the certainty of increasing efficiency in all organizational processes, ensuring that you will have your information available at all times, …
We are using InterSystems IRIS [especially] for database operations as the query performance is really good for [a large] amount of customer data. You can easily integrate for any application like web, desktop, and many more. It also provides BI functionality which is also very …
Because [it's] a very powerful and efficient tool that has the ability to manage your data in a quick and reliable manner. It's easy to use especially if you work in the area of managing a large number of databases or simply need an extra hand. Inter Systems IRIS can provide …
The process of migration and scaling due to heavy lifting is also easier, the speed of performance of IRIS is good and fast were able to get a high increase in query performance after our switch and [immense] amount of features integrated with the solution, from the web …
InterSystems IRIS is more efficient than other applications therefore, it is preferred over the others. Moreover, it is more cost-effective than other applications like Microsoft SQL Server, therefore, many organizations such as small businesses can afford it. Lastly, …
InterSystems IRIS has the flexibility and power to be more than just a databse engine. We are able to create our business processes and interface with out javascript front end. SQL Server has been useful through the Entity framework connecting both together has been the …
I have always studied other databases, I cannot say if it is a problem for Brazilian colleges, however, after meeting IRIS / Caché, my concept of databases has changed. A much more robust and faster bank.
Now that I have had the opportunity to work with this database, there is …
The only comparison I can make is that they are all database tools. I strongly believe that just the fact that IRIS is not so widespread and easy to find in research forums is the reason why it is not so "famous". The tool meets and meets all needs for any situation.
InterSystems IRIS is the union of the best parts of Caché and Ensemble, with a lot of new implementations and some enhancements. IRIS have the same multidimensional database estruture as like Caché and works as an Integration tool like Ensemble.
First of all, Microsoft Access is also a powerful, efficient, and free database. But the feel of it, I mean the GUI is not all great for me. It is very eye-stressing. MongoDB is also a good database, it too is efficient, productive, and powerful. But, upon this, RavenDB is a …
The team is very nice, very helpful, and answer very fast to any answer you may have. Thanks to their help, we were able to use and understand all the RavenDB features in no time! Documentation for server and client is very clear, with a lot of use cases. Maintenance is easy, …
RavenDB is just smarter than the competitors. The mapping reduction sorting is head and shoulders above everything else I've used. Nothing really approaches comparable in terms of complexity. Because of the searching of predetermined categories, read efficiency is terrible. …
The company needed a cache server that was closest and the most accessible, which is why we are currently experimenting with RavenDB which gives us the option to set up our hub in a local setting.
Much better support, more transparent pricing, much more easy setup process, native integration into c# / net core. We also tried to set up a Mongo Atlas cluster by self-study but weren't able to get this running. There is a much better response when searching in google, but a …
While MongoDB is in general more popular, I cannot fathom why that is. If you want ACID support (and as a developer, you'll always want that), MongoDB is way slower when compared to RavenDB. Furthermore, RavenStudio is just integrated, while
[RavenDB is] just simply much cleverer than the competition. The map reduce indexing is a league above anything else I have used. Nothing else comes close on abstraction as well. Read performance is terrifying due to querying pre calculated indexes. It is just a pity it is not …
Having ACID compliance is a big enough reason to choose RavenDB over the other products. You don't have to worry about losing your data if the plug is pulled. You're able to perform many actions within a transaction and not worry about your data being in a bad state if the …
Installing and configuring. We had some big issues with indexing the data after the documents were created and wanted to expand the index, with millions of records this task mostly did not complete despite a dedicated server.
Out of the many variants of document and SQL databases out there that we have used, RavenDB is our no 1 choice for anything but the smallest projects which can be served with a very small SQL instance. Other than that, RavenDB packs more features and is easier to work with than …
The given alternatives are also powerful and really good noSQL databases but the highest availability of RavenDB allows me/us to know it a lot better. RavenDB is encrypted by default wherever we use it in production and it has a high level of documents compression.
As I have said before in the previous questions ... RavenDB has a very simple clean UI, but stacks up in its power. Though new to me, I have found it to be much easier to learn and use than my previous database - Microsoft SQL Server. RavenDB's simple design and meaningful …
Being that ACID and cluster transaction support is a big plus against all of them. Cool prices on Azure and AWS is another plus. The ability to search between millions of documents.
When I first started using RavenDB, I did evaluate Mongo DB but found it to be lacking. The primary issue was that Mongo DB did not support atomic consistency for the persistence of multiple documents at the same time, although I think this may not be an issue with subsequent …
Once I had got my head around the concept of a document database it was a happy bye-bye to SQL Server. Firebird - far too fiddly - I found myself writing a silly API to sit on top of Firebird just to do the most basic things. MongoDb - in the very short time I spent with it, it …
We chose Raven over Mongo because it has robust support for multi-document transactions, first-class .NET and LINQ support, a well-designed API that has inspired imitation and has better tooling out of the box. We chose Raven over Redis because Raven is a full persistent …
It is best suited in the scenario where a single interface is required for providing [a complete end-to-end] solution to the customers. You don't need [a] separate platform to write code or [perform] database operations. All you need is InterSystems IRIS software and you are done. You can also use analytics functionality which is one of the greatest [features] which many customers need for their solution[.]
RavenDB is very well suited for NoSQL beginners to start easily setting up and using a NoSQL database. Also to set up a high performance and high availability cluster is possible without reading tons of documentation. Very straightforward assistant! The performance is really high.
Enhanced documentation, more comprehensive and user-friendly documentation, including detailed tutorials and examples
Improving compatibility and integrations with others programming languages
Introducing tools and techniques to optimize the performance of ObjectScript applications, such as profiling tools, performance monitoring utilities, and code optimization guidelines
We've had an excellent experience using RavenDB. Internally we are testing the newer features in 5.0 such as time series, which will effect the con specified previously dependent on the real world performance. We foresee that BattleCrate will continue to use RavenDB as we grow.
Really good .NET client that is very easy to use. The management studio is excellent and puts anything that Microsoft or Oracle have to shame. Very quick to develop with once the complexity hurdle has been overcome. Initially using it can be a bit painful until you fully grasp the event sourced nature of the indexing.
The InterSystems WRC has always been helpful and responsive. The folks I have spoken with are always understanding of our needs and questions and regardless of if the question is simple or complex we are always met with the same professionalism and helpfulness every time. I have no hesitations contacting InterSystems for help!
Had a question that was answered in minutes. Never used a NoSQL approach before, but was able to be proficient in a matter of hours. Easy to read API Documentation. 5 out 5 support in book, I have never once ran into an issue that wasn't quickly solved by either their support team or myself doing a quick search online.
Tibco was not originally planned to be used for HL7 Integrations and as such we had to create some very complicated processes in order for the messages to parse and validate appropriately. It was simply not built for this type of interoperability. Comparatively, InterSystems IRIS for Health (HealthConnect) has out of the box HL7 features that would parse messages, offer a variety of validation options, simplified data lookups and transformation and reduced the amount of time it took to develop connections with out vendor systems. InterSystems IRIS also allows one to push just single files into production at a time so there is less of a chance of us pushing something that should not be in production yet as our previous system was set up to with TIBCO deployments
RavenDB is just smarter than the competitors. The mapping reduction sorting is head and shoulders above everything else I've used. Nothing really approaches comparable in terms of complexity. Because of the searching of predetermined categories, read efficiency is terrible. RavenDB is a storage system designed for the current websites and functional prototypes. It has an easy-to-use interface and enables quick replication and backup installation. Furthermore, technical assistance responds quickly and walks you through the implementation and deployment procedures.
RavenDB has saved my customers a lot of money with their cloud services' tiered model. The database is able to grow with the project/company and can start out small at a low cost.
RavenDB is free for three nodes and three CPUs, which makes it great for development scenarios. You're able to start rapidly building applications without having to worry about licensing.
Scaling out has allowed us to use three small cloud servers when starting out and get the performance and throughput of a single larger server.