Enterprise AI Search, Intranet, and Wiki in one platform. Guru lives in tools organizations already use, so no need to context switch. Users can find info across any app, have an expert help if the info can't be found, and let Guru proactively identify knowledge gaps, duplicate knowledge, and translate it to 100 languages.
$18
per month per user
MongoDB
Score 8.6 out of 10
N/A
MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.
$0.10
million reads
Pricing
Guru
MongoDB
Editions & Modules
All in One
$18
per month per user
Enterprise
Custom
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
Offerings
Pricing Offerings
Guru
MongoDB
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discount available for annual pricing.
Fully managed, global cloud database on AWS, Azure, and GCP
All organizations can benefit from a platform like Guru. The platform allows content to be easily searched in one central location. Information is key to everyone doing their work correctly, and Guru brings access to information in one central location. I can't imagine a scenario where an organization wouldn't benefit from this platform. It's excellent for cross-functional work.
If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
It's not clear how to relate/ attach other guru cards. The feature exists but is not very easy to spot.
We often find it difficult to search because we don't remember the card's title. I would love it if the tag words worked better.
Once editing a card, instead of adding someone to collaborate on a draft, it would be good to send the draft to someone via email. I find people often ignore these emails/pings if it's just a draft collaboration. The wording could be to ask someone to verify the draft.
An aggregate pipeline can be a bit overwhelming as a newcomer.
There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
I rated Guru a 9 out of 10 for renewal likelihood because it has significantly enhanced our processes and customer satisfaction in the automotive rental company. Guru’s user-friendly interface and organized knowledge base make it easy to access and update essential information, which is crucial for maintaining high operational standards. The tool’s integration with other platforms, like the Guru Chrome extension, streamlines our workflow, increasing efficiency and productivity. One of the standout features is the ability to favorite cards, allowing quick access to frequently used information, which saves time and ensures accuracy in customer interactions. Additionally, Guru’s analytics feature helps us identify which resources need updating, ensuring our knowledge base remains relevant and effective. The only reason it’s not a perfect 10 is occasional slow performance and occasional inaccuracies in search results. However, these minor issues do not overshadow the overall benefits Guru provides. Its consistent updates and reminders further enhance our ability to deliver excellent customer support, making it an indispensable tool for our team.
I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
I give this rating because I really find Guru useful and user-friendly. You can easily follow and understand the steps and information from Guru. It has suited every issue that I have handled, and I was able to resolve it with the help of Guru. I hope that more people will find it helpful.
NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
I have never encountered an outage with Guru in the year+ we've had it. I also never encountered an outage at the previous company where I used Guru. It has been extremely reliable.
There is some occasional slowness, or multiple refreshes before content will load. This doesn't happen frequently, though, and I don't get complaints from teammates about it.
The only reason I do not give it a a ten is because I think there is still some room for improvement in meeting the different time zone needs of their customers, but overall their support is top notch. Friendly, capable, and quick.
Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
I would rate the in-person training for Guru a solid 9 out of 10. The session was incredibly valuable as it provided comprehensive insights into using Guru effectively. I learned a lot about the tool's functionalities, which significantly enhanced my proficiency and confidence in utilizing Guru for my daily tasks. The training was engaging, informative, and tailored well to ensure I could apply what I learned immediately. Overall, it was a highly productive and beneficial learning experience.
I would rate the online training for Guru a strong 8 out of 10. While it lacked the interactive nature of in-person sessions, the content was well-structured and delivered effectively. The training modules were clear and comprehensive, covering all essential aspects of using Guru. The flexibility of online training allowed me to learn at my own pace and revisit topics as needed. Overall, it provided a solid foundation and practical understanding of Guru's functionalities, making it a valuable learning experience despite the virtual format.
You will need a very strong team of guru champions in order to get EVERYONE and EVERYTHING on Guru, it takes some craziness and over talking about guru everywhere to get people to be exicted, contribute and use. If you are starting any kind of buisness and you need KB, just go for guru as fast as you can because when you will grow you will thank yourself.
While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
Guru is a vastly superior product for centralizing company knowledge, and in many ways, we feel that there is "more gas in the tank" with the tool (AI search, etc) and ways that we have yet to unlock all of its potential fully. This is primarily a resourcing issue on our side, not a fault of the Guru tool or team.
We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
Guru is somewhat expensive compared to what our org is typically willing to spend on software solutions. Additionally, there is a price difference per seat when paid monthly versus annually, which was a big downside for us as my company didn't want to commit to an annual cost.
Guru allows our team to quickly reference available learning/knowledge materials with our clients on a daily basis and provide better support at every outreach
With that said, spreading those same resources across two major global teams in the USA and Germany can lead to some inconsistencies. The i-frame process is not very intuitive for this scenario and our team treats policy/procedural differences as separate card or article entities.
Guru allowed our organization to pioneer and establish a dedicated knowledge team component, of subject matter experts who work in tangent with existing resources, create new ones, and vet collective knowledge.
Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
