Transform your DBMS to drive engagement innovation with Big Data
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Transcript of Transform your DBMS to drive engagement innovation with Big Data
• Big Volume• Too much data, and hard time managing it.
• Big Velocity• Coming at you too fast. Drinking from a firehose.
• Big Variety• Coming at you from too many places. You have a data integration problem.
Big Data problem - 3 V’s
Finding Money in IT
35% 80% 80%
Software Infrastructure
Budget on DBMS (1)
In House DBMS Apps
Candidates to Move Off
Expensive DBMS (2)
Cost Savings (3)
(1) Gartner, Forrester and EDB analysis
(2) The State of Open-Source RDBMS, 2015, Gartner, April 2015
(3) The State of Open-Source RDBMS, 2015, Gartner, April 2015; EDB analysis of customer experiences and market prices
Finding Money in IT
Relative Cost for IT Stack Components
Analytics
High Value
Invest for Brand
Mobile
Applications
Middle-ware
$ Database Bloat $
Virtual Machine
Operating System
Commodity
Rationalize for Stability
Getting Money in ITGartner: Relational OSDBMS has matured and today can be considered as a
standard infrastructure choice for a large majority for new enterprise applications.
2009
Figure 1Relational Open-Source DBMS Maturity Evaluation, 2015
Source: Gartner (April 2015)
Figure 2Relational Open-Source DBMS Maturity Evaluation,2015
Source: Gartner (April 2015)
2015
Open-Source DBMS
Commercial
Non-Mission Critical ApplicationsNon-Mission Critical Applications
Mission Critical
Applications
Mission Critical
Applications
Total Cost of Ownership Total Cost of Ownership
DBMS Functionality DBMS Functionality
DBA Tools DBA Tools
Availability
of DBA ResourcesAvailability of DBA
Resources
• PostgreSQL 9.5 released on Jan 7, 2016
• EDB Postgres Advanced Server 9.5 released Jan 26, 2016
• EDB Postgres Advanced Server 9.5 Highlights:• Enterprise security and auditing• Advanced performance and scalability• Data Integration and Distributed Transaction Management (XA)• Integration with Data Adapters and XA• Extended database compatibility for Oracle®
• NoSQL and big data capabilities with ACID
EDB Postgres Advanced Server 9.5
Velocity
- Hundreds of thousands to millions
of write ops/second- Single millisecond to sub
millisecond latencies- In-memory databases
- High write thru-put with low latencies
- Different workload management for the same dataset
Volume
- Petabytes+ of data
- Iterative, exploratory analytics –patterns, trends, anomalies
- Hadoop- NoSQL Data Stores
The 3 Vs of Big Data at the Edges
Variety
- Niched and domain specific (e.g., social, graph)
- Structurally dynamic (schemaless)- NoSQL Data Stores
- Development Interfaces
RDBMS(Most common
workloads)
Velocity
- Parallel Query- In-memory tables- High performance partitioning- Linear Scaling to 64 and more cores - DBaaS in Private & Public Cloud- PaaS (Cloud Foundry)-Resource Manager for serving OLTP and OLAP workload based on priorities
Volume
- Transparent caching for massive read throughput- Advanced log based multi-master replication- Hadoop integration (FDW)- NoSQL integration (FDW)
EDB Postgres: Expanding RDBMS Use Cases
Variety- Advanced text storage/search- Native JSON and JSONB object support- Spatial data support - PostGIS- H-store (key value data)- Support for Procedural Languages viz. Native PL/PgSQL, Oracle’s PL/SQL, PL/Py, PL/Perl, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/sh (shell)
EDB Postgres(Widening workload
capabilities)
Postgres enables you to support a wider range of workloads with your relational database:
• An Object-relational design and decades of proven reliability make Postgres the most flexible, extensible and performant database available
• Document store capabilities: XML, JSON, PLV8; HStore (key-value store); non-durable storage; full text indexing
• Foreign Data Wrappers enable read/write integration with other database technologies
• Postgres sees the data source as a table that can be queried and written to
EDB Postgres for Big Data
Journey to the Money
• Partner with EDB
• Break Free of Expensive DBMS
• Apps Inventory
• Staged Migration
• Build a Migration Baseline
• Get the Money!
Partner with EDB
POSTGRESinnovation
ENTERPRISE reliability
24/7 support
Services & training
Enterprise-class features, tools &
compatibility
Certifications
Productroad-map
Control
Thousands of developers
Fast development cycles
Low cost
No vendor lock-in
Advanced features
Enabling commercial adoption of Postgres
Database Compatibilityfor Oracle®
• Faster, easier migrations
• PL/SQL, OCI support
• Oracle SQL extensions
• User defined objects
• Function packages
• Database links
• Oracle-like tools:EDB*Loader, EDB*Plus, EDB*Wrap
ADVANCED SERVER
EDB POSTGRES
Database Compatibility with Oracle®
Compatible with:
Your BusinessYour AppsYour People
Lower Costs and
Increased Agility Applications
Running on OracleOracle
Developers
Use the MoneyFeed New Apps Data Reliably & Securely
EDB Postgres
NoSQL
Big Data
Other
Databases of
Record and Engagement
Active Database for
Digital Business
Digital Business
Apps and Initiatives
EDB Postgres
Internet
of Things
Mobile
Analytics
Internet
of Things
Holistic View of
Customer and
Supply Chain
Data
Cloud
Intelligent
Customer Offers
and Service
EDB CustomersEDB currently has over 3,500 total customers including 63 of the Fortune 500 and 137 of the Forbes
Global 2000
EDB is a LeaderThe Gartner report, Magic Quadrant for Operational Database Management Systems, by Donald Feinberg, Merv Adrian, Nick Heudecker, Adam
Ronthal, and Terilyn Palanca was published October 12, 2015.
Gartner Comments
“EnterpriseDB is responsible for many
features of PostgreSQL, contributing to
JSON, materialized views and partitioning.”
“Clients report that the functionality of
EnterpriseDB's Postgres Plus Oracle
compatibility feature is more than sufficient to
run both mission-critical and non-mission-critical
Applications.”
“Reference customers rated EnterpriseDB highly
for the stability of its DBMS, and were satisfied with its HA/DR features.”
The Time is NowTransform your DBMS to Drive Digital Business
“With EDB Postgres Advanced Server, we found a solution that not only provided exceptional performance, but made it easy to migrate
existing data … we were better able to control software cost.”
- Steve Akers, CIO, Genscape
“Open-source relational DBMSs (RDBMSs) have matured and today can be considered by information leaders, DBAs and application
development management as a standard infrastructure choice for a large majority of new enterprise applications.”
- Gartner Report, The State of Open-Source RDBMSs, 2015
In an Ideal World, You Would Have a Centralized View• We call this the Logical Data Warehouse
Customer Interactions
OLTP Live Data
Purchase History
The Logical Data Warehouse
Web LogsTransaction Logs
EnterpriseDB’s Strategy around BigData focuses on 3 Areas• Core PostgeSQL Features to Support ‘Big Data’
• Flexible Datatypes – JSON / JSONB and Key Value Store
• Unlogged tables to improve performance
• Foreign Data Wrappers (FDW)
• Use PostgreSQL as a central interface to connect to other systems to gather data and issue queries or joins
• Push-down for where and columns improve performance
• Postgres Plus features
• Resource Management to more effectively run mixed workloads
• EDB*Loader to load data from various sources
Delivers over 26 billion ad impressions per month with each ad served involving EDB Postgres Advanced Server
Supports over 200,000 transactions per minute across the globe with a 3millisecond response time
• EDB Postgres Advanced Server
• Services and Support
PRODUCTS PURCHASED
• Scalable Database Infrastructure to Support Billions of Ads
• Low-cost database solution to meet
scalability and performance requirements
• Multi-master support
KEY CUSTOMER REQUIREMENTS
• A reliable partner to be there throughout the process
• Significant cost savings
• Ability to add space when needed and replication when desired without having to reinstall the database
OTHER KEYS TO SUCCESS