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Sebastian Cohnen – Building a Startup with NoSQL - NoSQL matters Barcelona 2014

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  • Building a Startupwith NoSQL

    Sebastian Cohnen, @tisbastormforger.com, @StormForgerApp

    NoSQL Matters Barcelona 2014

  • About me Sebastian Cohnen, M. Sc.

    Developer & Founder from Cologne, Germany

    (Web-) Architectures, Performance & Scalability

    Founder of StormForger.com(services around load testing HTTP-based systems)

  • Startups agile & open minded

    small teams, pragmatic

    solve new problems

  • NoSQL?

    "A NoSQL (often interpreted as Not Only SQL) database provides a mechanism for storage and

    retrieval of data that is modeled in means other than the tabular relations used in relational databases."

    https://en.wikipedia.org/wiki/NoSQL

    "Motivations for this approach include simplicity of design, horizontal scaling and finer control over

    availability."

  • NoSQL

    Ease of use (development & operations)

    Very special problem

  • StormForger

  • StormForger load and performance testing of HTTP APIs

    SaaS product

    plan, configure and execute tests

    analyze and compare results

  • We are a startup!

  • Our Needs handle highly structured, complex data

    ingest, process and query time series data

    caching of structured data

    centralized logging and log analysis

  • How to find the perfect solution?

  • There isn't one :-/

  • Polyglot Persistence

    (NoSQL)TechnologyProblem

  • but be careful What are the downsides and tradeoffs?

    Availability of tooling?

    How mature is the technology?

    What about (community or commercial) support?

  • Back to StormForger's needs

  • SQL-ish, declarative query language

    easy to get started with

    powerful background/stream processing

    Time Series Data

  • Caching

    very, very fast

    primitive functions to work with data structures

    awesome community

  • ELK (Elastic Search + Logstash + Kibana)

    Centralized, aggregated logging

    Great analysis and search features

    Logging

  • Structured Data

    Not really tackled yet

    For now: serialize and store as TEXT in RDMS

  • Structured Data (2)

    we already evaluated some solutions

    great query language (AQL)

    support for JOINS & Graphs

  • Conclusion focus on ease of use aspects

    be pragmatic and think agile

    pick the right tool for the job

  • And if you think you found the right solution

    there are always alternatives

  • What about using a SQL DB for NoSQL?

  • PostgreSQL hstore: Key/Value

    json & jsonb: JSON data

    just use your existing tools

    query via SQL, indexable,

  • Thanks!

    https://stormforger.comSebastian Cohnen (@tisba)

    Questions?

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