Beyond NoSQL: What Makes a Modern Database

The term NoSQL is terrible. While in some respects it captures the excitement around a slew of new databases that challenge the relational model, it conflates all sorts of different database types that are more different than they are similar. In this talk, we'll discuss the challenges that have driven companies to explore alternatives to the relational database. We'll then define the requirements for a modern database and discuss where MongoDB fits in.

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  • Graham

    Appreciate the feedback. Looking back, the talk should have been more concrete and more technical, so that was a mistake on my part.

    Thanks anyways for being apart of the discussion and the community, and for keeping us honest.


    1 · May 15, 2014

  • Dawit L.

    This had the potential to be a better presentation. It felt more like a "think out loud" session. Wasn't very insightful outside of the fact that companies are trying to distinguish themselves and shy away from the "NoSQL" moniker. We never answered the question of "what makes a modern database" and I was hoping for a more of a what is the definition of an enterprise non-relational document database (e.g. MongoDB). We need standards people, but this field is still evolving. Hold on, we'll get there.

    1 · May 14, 2014

    • Michael T.

      I agree with this. I agree that "NoSQL" is a very broad brush that not very useful, but I would hope for a more specific categorization of the field with understanding of the various compromises made by different types of NoSQL (and SQL) DBs. Just saying "NoSQL is a useless term" leaves a hole in the terminology space that hopefully could be filled with relevant and useful categories.

      2 · May 14, 2014

  • Nitin k.

    Just my two cents: MongoDB is used at ADP only by one team. ADP uses Accumulo, HBase, Cassandra, CouchBase as per need basis.

    May 14, 2014

  • Nicholas M. C.

    Francesca confirmed that ADP (payroll company) uses MongoDB, they gave a great talk on their uses of JSON at NodeRoad for dashboards and non-NLP semantic search, dumbed down enough that I understand, technical enough that the engineers were also impressed:

    May 14, 2014

  • Nicholas M. C.

    Free pizza, intriguing tech, wish there was more nuts and bolts and specifics to each use case, for example what specific types of data was MetLife working with, and what specific things about MongoDB masse the CTO decide to use it? Also, the combination of the three points was okay since it differentiates Mongo but then this framework wasn't applied to show how MetLife and Salesforce demonstrated all three differentiation factors. While I'm a n00b, I do wish there was more code, better technical comparisons between MongoDB and other options and why the balance of different things MongoDB does is better than specialized databases like key-value for time-series data specifically.

    May 14, 2014

  • Dan S.

    This was a great topic, but seemed more a marketing presentation. There were some moments of discussion, but for the most part poorly addressed the question, aside from as Mongo marketing perspectives. I use mongo but it failed help me answer the questions for why I use it over other modern DBs. It's not just about document models or data structure, time to launch, or SQL ... there are operational and technical issues that modern projects require. There seem to be more answers and directions.

    1 · May 13, 2014

  • Zardosht K.

    Does anyone know who is speaking?

    April 28, 2014

  • Antonius M.

    Mongo has developed nicely. Feature rich, performance, and scalable. Overall design lends itself to working with objects (users on websites for example) and make great use of cheaper hardware: CPU, RAM, SSD. Unlike the uber priced Oracle that loves running on linux (free OS expensive DB = oxymoron), MongoDB is open source and free. WOW! There's a lot there for everybody me thinks...

    2 · April 29, 2014

  • Dawit L.

    This is a great topic and one that is hotly debated in enterprise circles. Once again it comes down to picking the right solution for the challenge-space. I'm still learning :-) Looking forward to the discussion.

    April 29, 2014

  • mohammad m r.

    Looking forward.

    April 28, 2014

  • mohammad m r.

    Looking forward.

    April 28, 2014

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