1. IBM Informix: la Mejor Tecnología de Base de Datos
Informix v14.10
Extensibility
and IoT
Faster
More Secure
InformixHQ
Enhancements
Cloud
José Manuel Ruiz
Analytics Principal
Informix_4_Vmark / May 22, 2019 / © 2019 IBM Corporation

2. Please note
IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision.
The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.
Clients are responsible for ensuring their own compliance with various laws and regulations, including the European Union General Data Protection Regulation. Clients are solely responsible for obtaining advice of competent legal counsel as to the identification and interpretation of any relevant laws and regulations that may affect the clients’ business and any actions the clients may need to take to comply with such laws and regulations.
Please note:
IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion.
Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision.
The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract.
The development, release, and timing of any future features or functionality described for our products remains at our sole discretion.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.
Clients are responsible for ensuring their own compliance with various laws and regulations, including the European Union General Data Protection Regulation. Clients are solely responsible for obtaining advice of competent legal counsel as to the identification and interpretation of any relevant laws and regulations that may affect the clients’ business and any actions the clients may need to take to comply with such laws and regulations.
Informix_4_Vmark / May 22, 2019 / © 2019 IBM Corporation

3. Global data growth Headline
By 2025, 163 Trillion Gigabytes of data will be created
The volume, velocity and variety of data is growing at a rapid pace, challenging many of today’s organizations. It is predicted that by the year 2025, 163 Trillion Gigaytes of data will be created.
For most organizations this rapid growth is seen as a challenge. And while this is definitely true, it can also be seen as an opportunity. By harnessing and analyzing this data, companies are able to gain drive analytics, data science, machine learning that improve analytic that improve customer interactions, streamline processes and improve operations.
Data to pre Artificial Intelligence (AI), Internet of Things (IOT), cloud, mobile and other new technologies are driving the need for real and near-time analytic decisioning. Today’s data environments are not just a vital piece of IT infrastructure, but a key component of corporate strategy. Organizations are realizing that better insights can improve customer interactions, streamline processes and improve operations.
Data is Eating the World: 163 Trillion Gigaytes Will be Created in 2025
IBM Cloud / HDMP / Apr 12, 2018 / © 2018 IBM Corporation
of which 25% will be IOT Real-Time Data

4. …and data is everywhere !
Private Cloud
Social Data
Structured
Data
Unstructured
Data
Proprietary
On-Prem
Public Cloud
Open Source
Security / Compliance
Data is all around you.
From your smartphone, to your tablet, to that laptop or PC on your desk—data is pervasive and plentiful. And the things it can do for you are amazing. It can propel your business, improve your life and help people.
Today, 80 percent of data comes from previously untapped, unstructured information from the web such as imagery, social media channels, news feeds, s, journals, blogs, images, sounds and videos. Sometimes called “dark data,” unstructured data holds the important insights needed for faster, more informed decisions. So, what’s the other 20 percent? It’s traditional, structured data living in data warehouses, and it’s important, too. You can’t live without structure.
Informix_4_Vmark / May 22, 2019 / © 2019 IBM Corporation

5. Informix is everywhere.
Where is Informix used?
Retail
aerospace
Government
Healthcare
IoT
telecom
Credit transactions
education
Transport
Energy & utilities
Informix is everywhere.
It’s used to make the total guest experience better at some of the world’s largest hotels chains. Informix is a powerful yet invisible part of our daily lives. 5

6. Artificial Intelligence Internet-of-Things (IOT)
IDC predicts global IoT revenue will reach $7.065B by 2020 from $2.712B in 2015
Technology & data growth
70% of enterprises expect to implement AI over the next 12 months1
Cloud
Gartner predicts that 2012, 28% of all IT spending will be for cloud-based infrastructure, middleware, app and business services.
Mobile
Global mobile data traffic is expected to increase nearly a sevenfold between and 2021.
Artificial Intelligence (AI), Internet of Things (IOT), cloud, mobile and other new technologies are driving the need for real and near-time analytic decisioning.
Artificial Intelligence (AI): consider the fact that 70% of enterprises expect to implement AI over the next 12 months. Whether it is AI for business like IBM Watson or for the consumer like Amazon Alexa, the system is only as smart as the people that train them and the data that is available.
Internet-of-Things (IOT): sensors embedded in everyday devices from vehicles, electronics to home devices. These sensors are constantly generating and receiving data that is not worth much without the infrastructure in place to analyze it. IDC predicts Global IoT revenue will reach 7.065B by 2020 from 2.712B in 2015
Cloud: budgets for cloud continue to increase. Gartner predicts that 2012, 28% of all IT spending will be for cloud-based infrastructure, middleware, app and business services.
Mobile: and finally there is the mobile. Mobile internet usage has worked its way into the daily life smartphone and tablet users.
Footnotes:
1 Forbes on Twitter – Nov
Roundup of Internet of Things (IoT) Forecasts and Predictions
3 Cloud Computing Market Projected To Reach $411B By Forbes
4 Mobile Internet – Statistics & Facts – Statista
Data in all shapes and sizes is available but the question remains “Is your organization utilizing it to make data driven decisions?
Informix_4_Vmark / May 22, 2019 / © 2019 IBM Corporation

7. AI IBM Analytics platforms enable the AI Ladder The “AI Ladder”
Machine Learning
Analytics
Data
The “AI Ladder”
3 platforms, 1 Information architecture
Hybrid Data Management
Informix
Db2
Hadoop
Data Science
& Business
Analytics
Watson Studio
SPSS
Cognos
CPLEX
Unified Governance & Integration
Information Server
Optim
CDC
AI is about mimicking and improving the human function; said another way, bringing human features to technology. In the consumer world, that is mimicking speech, vision, and daily interactions. In the enterprise, it is mimicking and improving enterprise functions, such as Logistics, Marketing, Finance, Operations, and HR. While it is similar in concept, the difference is as stark as the Cugnot Steam Trolley and a Tesla.
“Enterprise AI” is about solving sophisticated business problems in highly dynamic environments. This requires an understanding of well-defined use cases and starting points, and an acknowledgement that, per Erik Brynjolfsson, “the bottleneck now is in management, implementation, and business imagination.”
Of course, the entry points for AI vary from organization to organization. In some cases, companies jump directly to the top of the ladder and adopt established AI technologies for specific use cases (e.g., H&R Block’s use of IBM Watson for personalized tax planning). But in many others, organizations begin to build out their Enterprise AI environment by getting their IA in order.
To provide fluidity and avoid Brynjolfsson’s bottlenecks, organizations have three distinct foundational areas of technical advancement to embrace and exploit: Hybrid Data Management, Unified Governance & Integration, and Data Science & Business Analytics.
Hybrid Data Management, provides a platform to manage all data types across all sources and destinations. It incorporates all forms of data management (SQL, NoSQL) and all flavors of techniques (row store, column store, document store, Hadoop), collectively optimized with rich SQL access. An effective data strategy has to be singular in approach and that starts with hybrid data management.
Unified Governance & Integration provides the components that make data easily and securely available across cloud platforms, by enabling robust data preparation, policy creation, authorization, auditing, and more.
Data Science & Business Analytics combine to provide holistic and collaborative analysis of all data types, and empower people to economically extract meaning from, and interpret, complex data sets. Key components of this platform includes analytics tools, advanced statistical models and machine learning.
The data science and AI renaissance are flourishing because of digitization, the data explosion, and the transformative impact that machine learning is having on data – namely, to enable new tasks to be performed. But while existing AI techniques have given us greater insight, we still do not have self-driving cars. This is because building AI systems involves more than learning how to perform a specific task from data; it requires an infrastructure. Through the adoption of hybrid data management, unified governance & integration, and data science & business analytics, organizations of all sizes and all levels of understanding can begin to unleash the power of AI in the Enterprise.
Informix_4_Vmark / May 22, 2019 / © 2019 IBM Corporation

8. AI Innovation – Infusing Machine Learning/Self Healing into Informix
This is the database equivalent of a “driverless car”.
Every Informix customer expects 100% uptime, stability, and peak performance.
Gather statistics on vital engine stats and actions
Review statistics for trends
Anticipate thresholds and take corrective action
Runbooks built into the admin tool
Alert
Health-check
Trend Use Cases:
Storage
CPU/mem usage
Indexing/update statistics
Users AI
Machine Learning
Analytics
Data
[Emphasis on Innovation research items – no commitment on delivery]
Next Steps
Define the vital engine stats that need to be stored and analyzed.
Create the “health-check” alerts and pre-defined runbooks (expert system approach for phase 1).
Train ML models with the collected stats and build classifiers.
Incorporate the result of the classifier into the health-checks and/or the runbooks.

9. IBM Cloud

10. Internet of Things Focus
Informix: Strategic offering investment Priorities
Roadmap Acceleration
Market Expansion
Internet of Things Focus
Reinvigorate IBM Informix in the market with new interfaces and feature innovation
Enhance client value, experience & loyalty
Engage with clients and partners to discuss the new and accelerated product roadmap and address new enhancement opportunities
Expand digital influence
Enable hybrid cloud journey
Target new application developers with new programming languages and graphical administration tools
Deliver in all commercial clouds and ICP for Data platform
Reinvigorate academic presence to build more expertise for hire
Publish case studies and materials to help clients get started quickly
Increase partnerships with OEM and ISV
Present the power of IOT with Informix TimeSeries, JSON, geospatial and relational embeddable in edge devices
Complement various IOT frameworks
Build partnerships across the gateway HW manufacturer ecosystem in key industries like utilities
Deploy educational hands-on workshops to client and partners
Leverage Informix in Watson IoT and embedded partner solutions
Think / © 2019 IBM Corporation

11. Motivations and Use cases for embedded databases at edge – IT/OT
Intermittent or unstable connectivity creates need to locally persist data for later processing and continue operations (stores, factory floor, oil rigs,…)
Real time decision making and continuous monitoring is required near point of origin without unpredictable latency of round-trip to cloud and back
Volume of data is cost prohibitive even for cheap cloud storage so only filtered and aggregated information can be uploaded for historical analysis
Implementing local ML/Optimization routines are now feasible and require local persistency and data processing power
Data security and regulations may mandate local data storage
Competition from new highly efficient business models (‘Uberization’)
Think / © 2019 IBM Corporation

12. Informix Today – Perfect for embedded IoT and Edge solutions
Low footprint, low resource usage Hybrid Database (SQL/NoSQL) with optimized Time Series and Geospatial data
Optimized sensor data storage (clustered, compressed, round robin, high frequency data)
Time series elements can be JSON documents
Built-In time series data high performance loader API (> values/sec/CPU core) plus MQTT-to-TimeSeries loading interface
Simplified application development
More than 100 built-in SQL time series functions (incl. pattern matching and spatiotemporal functions)  User extensible
Choice of APIs: SQL, MongoDB, REST
Full data sharding and replication support across Edge-/IoT-Gateways and into the Cloud
Multi platform/OS availability (incl. Cloud): ARM v6/v7/v8, Intel (incl. Quark/Atom), Power, Sparc
IBM Informix database is well suited for the whole spectrum of IoT database requirements at enterprise scale
Think / © 2019 IBM Corporation

13. Informix: la Mejor Tecnología de Base de Datos 30+ years enduring Informix differentiators in database market
Optimized data type support and language extensions that permit high performance domain specific queries and efficient compressed storage
Minimize the cost of hardware and DBAdmin resources for embedded solution ISVs and enterprises serving highly distributed locations (retail, hotels, transport,…)
Informix supports NoSQL data access methods and integration with SQL relational data, including the unique TimeSeries and spatial data types
Informix has been successfully used in creating customized pricing for business partners building high value domain and geo specific custom solutions
Optimized Database for Time Series and Geospatial data
Small Footprint, Low Administration and Distributed instances
Multi-Model Integration in one database
Flexible pricing metrics and embedded solutions business model
High uptime and proven replication technology for HA. Built-in encryption at rest and in backups.
Unique pricing metrics and embedded solutions business models
Proven Enterprise class Reliability and Security
Very high performance analytic queries with low tuning on operational data stored in Informix database
Integrated In-memory Warehouse Accelerator
Informix v14.10
March 2019
Think / © 2019 IBM Corporation

14. Informix v14.10.xC1? Licensing Changes
AIX 7.2 (    or newer ) on POWER8, POWER9, and possibly on POWER7; POWER6 and lower are not supported. AIX 7.1 is not supported. Red Hat 7.4 and newer, PPC64LE ( " little endian" ) are supported on POWER8 and POWER9. 
The Red Hat 7.5 running in "native" mode on POWER9 is also supported.

15. Informix v14.10.xC1? Licensing Changes
AIX 7.2 (    or newer ) on POWER8, POWER9, and possibly on POWER7; POWER6 and lower are not supported. AIX 7.1 is not supported. Red Hat 7.4 and newer, PPC64LE ( " little endian" ) are supported on POWER8 and POWER9. 
The Red Hat 7.5 running in "native" mode on POWER9 is also supported.

16. Informix v14.10.xC1? Licensing Changes
Ampliación de los límites en Informix Workgroup
de 16 cores y 16 GB RAM  24 cores y 32 GB RAM
Eliminación de la edición Informix Advanced Workgroup.
La edición Informix Enterprise ahora incluye la compresión de datos.
Nueva métrica de licenciamiento VCPU.
Recordemos que:
Informix cobraba suplementos de licencia por cambios de versión v12v13 y por cambios de plataforma SolarisLinux. IBM no cobra por estos cambios estando al corriente de mantenimiento.
IBM permite el despliegue de Informix en entornos virtualizados (sub-capacity) pero hay que medir el despliegue con ILMT. O-tras bbdd no permiten este tipo de despliegues obligando a licenciar la máquina física completa.
AIX 7.2 (    or newer ) on POWER8, POWER9, and possibly on POWER7; POWER6 and lower are not supported. AIX 7.1 is not supported. Red Hat 7.4 and newer, PPC64LE ( " little endian" ) are supported on POWER8 and POWER9. 
The Red Hat 7.5 running in "native" mode on POWER9 is also supported.

17. Debian V7 (32bit) for Raspberry Pi
What is Informix v14.10.xC1? Platform/OS/Compiler modernization
Workgroup/Enterprise:
32-bit   12.10
64-bit  12.10
64-bit  vNext.xC1
AIX
6.1, 7.1
6.1, 7.1, 7.2
7.2
HP-UX Itanium
11.31
Linux – Intel
RHEL 5,6
CentOS 6
SuSE SLES 11
Asianux 3.0
Debian 5.0
Ubuntu 8.04 LTS thru LTS
RHEL 5,6,7
CentOS 6,7
SuSE SLES 11, 12
Ubuntu 8.04 LTS thru 17.10
RHEL 7 (min update 4)
CentOS 7 (1708)
SuSE SLES 12 (SLES 15)
Ubuntu LTS
Linux – IBM POWER (Big Endian)
n/a
Linux – IBM POWER
(Little Endian)
RHEL 7.1
SuSE SLES 12
Ubuntu LTS 14.04
Linux – IBM system z
SuSE SLES 11,12
Mac OS X
10.9, 10.10
Solaris SPARC
10,11
11.3
Solaris x64
Windows
Windows 2008R2 thru 2016
Windows 7,8
Windows 2003R2 thru 2016
Windows 7 thru 10
Windows 2016
Windows 10
ARM
V7 (Debian 7)
V8 (OpenSuSE)
Debian V7 (32bit) for Raspberry Pi
AIX 7.2 (    or newer ) on POWER8, POWER9, and possibly on POWER7; POWER6 and lower are not supported. AIX 7.1 is not supported. Red Hat 7.4 and newer, PPC64LE ( " little endian" ) are supported on POWER8 and POWER9. 
The Red Hat 7.5 running in "native" mode on POWER9 is also supported.

18. Informix Roadmap Innovate! Informix v14.10 2020 Q1 19 2019
Available since March
vNext.xc2
vNext.xc3
vNext.xc4
Under Consideration
Application Developer Ecosystem Improvements
Prioritized RFEs and defect fixes
Multi-Model (graph, geodetic) – research
BI and Data Visualization
Prioritized RFEs and defect fixes
Super Scale Out Phase1 - research
Prioritized RFEs and defect fixes
Self Healing Server - research
Super Scale Out Phase 2 - research
Enterprise Replication to Cloud - research
IWA on Cloud - research
Major Performance Improvements
InformixHQ
Increased uptime, better TCO
Security Updates
Spatiotemporal Improvements
Up to date OS and platforms
Informix
12.10.xc12
Current release
Innovate!
4GL fixpack
Sept,
2018
Q1 19
2019
2020
And beyond
Think / © 2019 IBM Corporation

19. Innovation – Multi-Model
“True Hybrid Analytics”
Innovation – Multi-Model
Completed
Innovation Research Items
Spatio- Temporal
Document store (JSON/BSON)
A Multi-Model database is one that can store, index, and query data in more than one model. Informix can store, index, and query data ACROSS Models!
Model Popularity Trends
Graph
Key-value Store
Relational
Geodetic
Graph
Key-value store
Graph
Key-value Store
Time Series
Retail User Scenario:
Data Stored in:
JSON - Metadata on products
Key Value Data Store - Pricing/SKU
Graph - Reliability of the supplier
You are able to find the description on a specific product, its price, and vendor information all in one query
Smart Grid User Scenario:
Data Stored in:
Graph – Electricity Grid
Relational - Revenue by Customer
Find how many customers are affected by an outage and the revenue they bring in all in one query
[Emphasis on Innovation research items – no commitment on delivery]
Informix has been multi-model even before the term was defined. We have had the unique strategy with multi-model to be able to store, index and query data ACROSS the models starting with relational, Spatial, TimeSeries and custom data models incorporated into one query. This strategy continued to be enhanced with the implementation of the document store (JSON/BSON native datatypes). Now we have had requests to add Graph and Key-Store models into our portfolio and the market trends back that up. We are looking into this now. Call out the two specific user scenarios for the capabilities this will now give to our customers.
Description of graph and key-store model if needed:
GRAPH
Relationships (connections) drive storage, retrieval, and management of data
Some examples where a graph database works best:
Recommendation engines
Identifying impact of outages
LinkedIn
KEY-STORE
A key and a value associated with that key drive storage, retrieval, and management of data; Simple and fast.
Embedded systems
In-memory systems
Advanced key-stores allow sorting, enabling range queries and ordered processing

20. Informix Today – Developer Jump Start
2020
Python and Node.js
Drivers developed and supported by Informix lab
Both currently require full CSDK installation – but this is changing!
Informix Today – Developer Jump Start
Docker Hub
IBM Smart Gateway kit -
Code samples -
Github -
Free Informix Developer Edition -
Innovator-C edition on Docker Hub -
Developer edition on Docker Hub -
Informix Developer Edition for Raspberry Pi (32bit) -
Client and connectivity examples -
Informix Python driver -
Informix Node.js driver -
Think / © 2019 IBM Corporation

21. is Faster, Stronger and More Flexible
The 2019 Informix Roadshow
Welcome to Informix 14.1:
is Faster, Stronger and More Flexible
Latest features of IDS 14.10
Encryption at Rest & Backups
Informix on Cloud
Replication Technologies
Compression
Storage Manager
Time Series - Smart Metering
Informix Warehouse Accelerator
Embed and Autonomics
NoSql
Internet of Things
Roadmap
GDPR
The 2019 Informix Roadshow is a two-day, deep-dive technical event that gives you hands-on experience with the latest IBM® Informix® release features. This roadshow is designed to help you gain fresh, innovative ideas for optimizing your business performance and creative competitive advantage - and it's absolutely free to attend these events.
October 7-8, 2019
Madrid,
October 9-10, 2019
Barcelona,
October 14-15, 2019
Lisbon,
IBM Cloud / HDMP / Apr 12, 2018 / © 2018 IBM Corporation

22. What is Informix v14.10.xC1? Themes
vNext
Extensibility
and IoT
Faster
More Secure
InformixHQ
Enhancements
Cloud
Faster
Significant performance improvements for replication workloads and OLTP
InformixHQ
New, fully supported, graphical administration tool
More Secure
Provides higher security for encryption keys and Transport Layer Security (TLS)
Cloud & Containerization
New VPC pricing metric for easier license monitoring
Enhancements for Usability, Administration, and Increased Uptime
Customer RFEs implemented to include in-place alter improvements, renaming of indexes and constraints online, and common table expression implementation
Extensibility and IoT
ARM v8 support
Enhances timeseries granularity and spatial projection systems
Working closely with IBM and IIUG, we have been recruiting clients to take part in the Beta. The vNext release is due out in early 2019 and makes significant advances in performance (5x performance gain with secondaries, security (offsite key management to Amazon), IoT (sub-second GPS readings), and ease of administration (simplified key-based editions). These themes continue to remain the core values of the Informix server. We will talk in more detail over the next few slides what is vNext…
Think / © 2019 IBM Corporation

23. Informix_4_Vmark / May 22, 2019 / © 2019 IBM Corporation