Opening Session
Bob Wiederhold
CEO
Database Industry Being
Disrupted
<50%

92%

Relational
Technology

Relational
Technology

Other

Relational
Technology

R...
Operational vs. Analytic Databases
Real-time,
Interactive
Databases

NoSQL

Analytic
Databases
NoSQL Market is Changing

Phase 1

Phase 2

• Grassroots developer adoption

• Enterprise ops & developer adoption

• Smal...
YTY Community Growth

>300%
Fastest Growing
Community
* As measured by Linkedin skills growth
YTY Sales Growth

>400%
Fastest Growing NoSQL
Vendor
* Based on public announcement of 2013 growth
Market Adoption
Internet Companies

> 400 customers;

Enterprises

> 13,000 production nodes deployed
Couchbase Server
Scalability

Performance

Ease of
Development

JSON
JSON JSO

JSON N
JSON

Cache

KV

Hybrid

Document
Computing Growth Drivers Over Time
1960 - 2020
Mobile Processor Evolution
Couchbase Mobile Strategy
JSON Anywhere

Couchbase
Server

JSON

Sync Gateway Server

Lite
JSON

• JSON on the device
-

J...
N1QL

Nickel Query Language
Customer Use Cases
Digital
Marketing

Customer
Experience

OTT
Messaging
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Couchbase_TLV_2014_Opening_Keynote

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  • There are two types of databases. Each is focused on a very different problem.Analytic databases were referred to in the past as OLAP databases. They are focused on looking through every record in a huge database to answer a question or gain an insight about the data contained in it. These analyses are batch processes that access every piece of data in the database, are very “read” heavy, and produce results in seconds, minutes, or sometimes days. For analytic databases, “real time” means an analysis takes a few seconds to run.Real-time interactive databases(operational databases) are often referred to as operational databases. They store a lot of data but usually much less than an analytic database.They must provide access to individual records in a database in milliseconds so that users of an application get good response time.Since the requirements of each database is very different, the architectures and capabilities of each are very different as well.When I refer to NoSQL in my presentation, I am referring to real-time, interactive databases. This is the type of NoSQL database Couchbase provides.
  • There are 3 major trends driving the transition to NoSQL databases; Big Data, Big Users, and the move to Cloud Computing and a SaaS business model.Let me briefly describe how each of these mega-trends is pushing people to adopt NoSQL technologies.
  • There are 3 major trends driving the transition to NoSQL databases; Big Data, Big Users, and the move to Cloud Computing and a SaaS business model.Let me briefly describe how each of these mega-trends is pushing people to adopt NoSQL technologies.
  • Couchbase_TLV_2014_Opening_Keynote

    1. 1. Opening Session Bob Wiederhold CEO
    2. 2. Database Industry Being Disrupted <50% 92% Relational Technology Relational Technology Other Relational Technology Relational Technology New NonRelational Technology 2014 2027 Most database growth will be Non-Relational Technology
    3. 3. Operational vs. Analytic Databases Real-time, Interactive Databases NoSQL Analytic Databases
    4. 4. NoSQL Market is Changing Phase 1 Phase 2 • Grassroots developer adoption • Enterprise ops & developer adoption • Small-scale, non-mission critical apps • Existing mission critical apps • Small deployments • Large-scale, mission critical apps • Big deployment
    5. 5. YTY Community Growth >300% Fastest Growing Community * As measured by Linkedin skills growth
    6. 6. YTY Sales Growth >400% Fastest Growing NoSQL Vendor * Based on public announcement of 2013 growth
    7. 7. Market Adoption Internet Companies > 400 customers; Enterprises > 13,000 production nodes deployed
    8. 8. Couchbase Server Scalability Performance Ease of Development JSON JSON JSO JSON N JSON Cache KV Hybrid Document
    9. 9. Computing Growth Drivers Over Time 1960 - 2020
    10. 10. Mobile Processor Evolution
    11. 11. Couchbase Mobile Strategy JSON Anywhere Couchbase Server JSON Sync Gateway Server Lite JSON • JSON on the device - JSON JSON Developers increasingly prefer NoSQL database • JSON on the wire - No need for data transformation • JSON in the cloud - Flexible data model - High performance - Easy scalability
    12. 12. N1QL Nickel Query Language
    13. 13. Customer Use Cases Digital Marketing Customer Experience OTT Messaging

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