Document Databases Resources - Page 12
Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Document Databases
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.
Document Databases Articles
I Ranked the 7 Best Document Database Software for 2027
TL;DR: What is the best document database software based on user reviews?
MongoDB Atlas is the best document database software with a G2 Score of 98, the highest among all tools I evaluated as per G2’s Fall 2026 Grid® Report for Document Databases. Other best document database software that made my list are:
Elasticsearch: Best for enterprise teams that need fast search across huge document sets
Amazon DynamoDB: Best for serverless apps that face unpredictable traffic spikes
Amazon DocumentDB: Best for mid-sized teams that need MongoDB compatibility with tight security
Google Cloud Firestore: Best for small teams that want real-time app data with minimal setup
InterSystems IRIS: Best for teams that want one data platform backed by close vendor support
Couchbase: Best for interactive apps that need fast reads and node-by-node scaling
by Sagar Joshi
What Is a Document Database? Fundamentals You Should Know
Imagine searching through hundreds of filing cabinets for one particular record.
by Sudipto Paul
Document Databases Glossary Terms
Document Databases Discussions
0
Question on: Redis Software
Is there any way to store JSON by not converting into string
?
G2 is not honest.
I wrote 4 detailed reviews because I should win a $10 Amazon gift card for each review. According to G2 dashboard, my reviews reached the requirements. At the end all my reviews were approved, published and and didn't received my rewards. I got in touch with G2 and received no answer.
0
Question on: MongoDB Atlas
How to make MongoDB to accept joins
What is the work in progress to help the MongoDB users like me and other to be able to avoid data redundancy. If this can be achieved then MongoDB will be an engine of choice to most people.
As MongoDB is a document oriented Database. So data is distributed across different nodes and in order to apply joins, a data should be collected on a single node and then join can be applied on that data. Hope this answer would help!
The concept of joins in MongoDB was introduced by its 3.2 Version. For joining the two tables in MongoDB we have to use $lookup stage or Keyword as it will add the new array fields.
0
Question on: Progress MarkLogic
what will be scope of marklogic developers in future ?
i am currently undergoing training in marklogic tool
who knows...
Best class
MarkLogic Developers have knowledge of and are using the most advanced Enterprise NoSQL database on the market. That is not likely to change any time soon.
Not sure exactly what you mean by "scope". Technologies? Employability? Markets?
Please clarify.
Document Databases Reports
Mid-Market Grid® Report for Document Databases
Fall 2026
G2 Report: Grid® Report
Grid® Report for Document Databases
Fall 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Document Databases
Fall 2026
G2 Report: Grid® Report
Momentum Grid® Report for Document Databases
Fall 2026
G2 Report: Momentum Grid® Report
Small-Business Grid® Report for Document Databases
Fall 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Document Databases
Summer 2026
G2 Report: Grid® Report
Small-Business Grid® Report for Document Databases
Summer 2026
G2 Report: Grid® Report
Mid-Market Grid® Report for Document Databases
Summer 2026
G2 Report: Grid® Report
Grid® Report for Document Databases
Summer 2026
G2 Report: Grid® Report
Momentum Grid® Report for Document Databases
Summer 2026
G2 Report: Momentum Grid® Report




