Decoding the buzz created by MongoDBat the

The MongoDB leaders at the recent MongoDBWorld 2015 event geared up to answer queries regarding the new and upcoming enhancements made to the leading NoSQL database that will be a part of MongoDB 3.2 release.

MongoDB 3.0 release

Still, there was a lot of buzz around the swappable storage engine, a part of the MongoDB 3.0 release that happened in February and not without a reason since it has proved to be a significant upgrade from the original default engine MMapv1.

Swappable storage engine and WiredTigerWith the new pluggable storage engine API introduced in MongoDB 3.0, users can leverage the same resources like the database language, query, and operating tools across different applications with different workloads, each powered by different MongoDB storage engines.

7-10 times higher performance

Other benefits of WiredTiger Integration

More Scalability

Lower Cost by 80%

Better hardware utilisation

What people have to say?

“The company now wishes to focus on supporting the ability to switch storage engines as per user need”.Kelly Stirman, VP Strategy and Product Marketing at MongoDB

“MongoDB’s data engine swap will allow faster parallel processing.”Ray Smith, CEO and co-founder, Datahug Inc.,

What people have to say?“The key word that MongoDB has been missing is document-level locking, which is engrained in WiredTiger from the beginning. As the range of applications built on MongoDB continues to expand, we believe the capabilities announced today will be extremely well received as they deliver on our core promise – to help organisations move faster, and dramatically simplify access to data to a broader audience.”

Eliot Horowitz, CTO and Co-Founder at MongoDB

Enhancements expected with the MongoDB 3.2 Connector for BI

Dynamic Lookups

Document Validation

Encryption for Data at Rest

Schema Visualization

Connector for BIThe connector provides users SQL-based access to the tools like Cognos, SAP BusinessObjects, and Tableau, through the MongoDB’s Aggregation Framework boosting the performance and scalability.

The “lookup” feature as a part of the Aggregation Framework can combine two types of related data and is considered a useful tool for reporting and provides flexibility for modelling data.

Dynamic Lookups

Document Validation The document validation rule of the MongoDB 3.2

can be used to apply rules to data fields to verify data types, fields, mandatory fields, etc.

This feature along with the dynamic schema will allow for great flexibility in defining rules that will also provide a two-way benefit of data quality and simplified application development.

Encryption for Data at RestThis add-on security feature is secured with keys by the industry standard Key Management Interoperability Protocol (KMIP) 

It is mainly targeted at regulated industries like the healthcare, finance, and government that have stringent security requirements.

MongoScout, a graphical interface, will help the developers and DBAs to get a view of the data structure.

This can be a powerful tool in the hands of the developers to make decisions about indexing and validation rules.

Schema Visualization

That’s not all, feel free to share this information

For any queries on Big Data

Suyati provides marketing technology and integration services for companies that wish to combine the best of breed solutions and create a unified approach to customer acquisition. This unified digital marketing approach requires system integration between various CMS and CRM platforms, and a slew of eCommerce, Marketing Automation, Social Media Listening, email and social marketing, and customer service systems. Our specialized knowledge in Salesforce, open source and .Net based systems enables us to build effective custom integrated solutions for our clients.