Webinar - Introduction to Azure DocumentDB
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Azure DocumentDB is described as a cloud-powered, globally scaled NoSQL database service that provides high performance with low latency access around the world. It offers millions of requests per second and can store many terabytes of data. Key features highlighted include automatic indexing, easy query capabilities, multi-record transactions, 99.99% SLAs for availability and latency, and globally distributed data replication across multiple regions with configurable consistency models. It is positioned as an alternative to relational databases and other NoSQL options that can better support modern application development needs.
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Webinar - Introduction to Azure DocumentDB
- 1. Azure DocumentDB Your Cloud-powered, Geo-scaled, NoSQL Superweapon… Hiding in Plain Sight
- 2. Azure DocumentDB Millions of RPS Many TBs of data Transparent Partitioning <10ms Reads <15ms Writes Low-latency access around the globe! Automatic Indexing Easy-to-learn query grammar Multi-Record Transactions Blazing fast, planet scale NoSQL service 99.99% SLAs for availability, latency, and throughput
- 3. FearTheWalking Dead #1 in Apple app store free apps during launch week >1M downloads ~1B queries per day 99% queries served under 10ms
- 4. Globally Distributed • Not just for disaster recovery…. DocumentDB is unreasonably highly available • Replicate data across any # of regions of your choice • Low-latency access to your data around the globe • Dynamically configure your write and read regions Azure DocumentDB gives you the ability cheat the speed of light!
- 6. … with well-defined consistency models! Consistency Level Strong BoundedStaleness Session Eventual Total global order Yes Yes, outside of the “staleness window” No, partial “session” order No Consistent prefix guarantee Yes Yes Yes Yes Monotonic reads Yes Yes, across regions outside of the staleness window and within a region all the time Yes, for the given session No Monotonic writes Yes Yes Yes Yes Read your writes Yes Yes (in the write region) Yes No Strong consistency, High latency Eventual consistency, Low latency More consistent queries More performance and availability
- 7. You’re probably not using DocDB… ■ …most enterprise software still written against relational databases ■ …variety of NoSQL options out there – MongoDB – Cassandra – RavenDB – CouchDB – Redis – Memcache – Etc. ■ …you’re here today
- 9. Relational Rob ■ Often LOTS of tables ■ Schema-centric and schema-focused – *Not* always data-centric ■ Application tendencies: – Complex queries – Hard to scale horizontally – Limits to scaling vertically – Tied to ORM – Multi-table joins, locking hints, configurable transaction isolation levels, “user-defined columns” – &*%#$@!($*#$!!?!?
- 10. DocumentDB ■ Document-based ■ Focus is the data itself – Not a pre-ordained schema ■ Auto-indexing of all content ■ (Mostly) transparent data partitioning ■ Supports configurable, distributed consistency Relational databases ■ Row-oriented ■ Pre-ordained schema is primary – Even to the detriment of accessing applications! ■ Manual index definitions – Frequent source of perf issues ■ (Mostly) non-transparent data partitioning – Frequest source of scalability issues ■ Supports configurable, local consistency
- 11. Server-hugger Sam ■ Many “pets”… no cattle ■ Focus on IT status quo vs. developer productivity and options ■ Emotional appeals – “Not secure” – “Not proven” – “Not scalable” – “Something something vendor lock-in”
- 12. DocumentDB ■ No server provisioning, configuration or management – Focus is on the data, not the servers ■ 99.99% SLA ■ <10ms reads and <15ms writes for 99% of queries ■ Transparent, declarative geo- replication – Failover, regional client reads, etc. Self-hosted database ■ Server provisioning, configuration, and management are all your problem, now and into the future – Enjoy your pets! ■ “What’s an SLA?” ■ “Slow queries?That’s a developer problem” ■ Geo-replication is your problem – …and it’s a BIG problem
- 13. App Dev features ■ .NET and .NET Core, Node.js, Python, Java SDKs… full REST API – Database, collection, and document manipulation, etc. ■ MongoDB protocol support ■ Parameterized queries ■ SQL-based query language – .NET SDK support for LINQ ■ Server-side Javascript UDFs, stored procedures, and triggers – Multi-document transactions in sprocs and triggers ■ Local emulator support (yay!) ■ Query Playground – https://www.documentdb.com/sql/demo
- 15. Pricing
Editor's Notes
- #17: https://azure.microsoft.com/en-us/blog/documentdb-total-cost-of-ownership-for-nosql-databases/ https://documentdbportalstorage.blob.core.windows.net/papers/11.17.2016/NoSQL%20TCO%20paper.pdf