Likelihood to Recommend Apache Lucene is a perfect text search implementation where the heap space usage needs to be kept to its minimal. It also enables search based on various search fields and most importantly the search and index process can happen simultaneously. The only scenario where it might be less appropriate would be when the index size grows too big. We have witnessed few scalable issues where the search would take a while when the index size is too large.
Sirish Vadala Applications Developer Information Technology Specialist
Read full review 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.
Read full review Pros We found Apache Lucene to be extremely performant in querying large amounts of data and retrieving the correct files based on the metadata provided. The online community offers great support for the product. Even though it is an open source tool, it is not difficult to find help online for it. When we were creating a proof of concept application, we found that the software worked just as well, while being run locally on a resource-limited PC. Read full review 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. Read full review Cons User interface for setup and maintenance would be helpful. Easier cloud/cluster setup. Better, centralized documentation. Read full review 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. Read full review Likelihood to Renew 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.
Read full review Usability 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.
Read full review Support Rating 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.
Read full review Implementation Rating 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.
Tom Maiaroto Sr. Platform Developer / UX Designer / Optimization Engineer
Read full review Alternatives Considered The search and index performance of [Apache] Lucene is excellent and the quality of results is good, if not better. For implementing it with small scale applications it is a no brainer, Lucene is the best and most cost effective solution. Learning curve is not too steep either.
Sirish Vadala Applications Developer Information Technology Specialist
Read full review 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.
Read full review Return on Investment Being an open source project we did not have to pay any licensing fees for using Apache Lucene. It has greatly improved our search functionality in our web apps. Read full review 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 Read full review ScreenShots Apache Lucene Screenshots