10 REASONS Why it makes a good option for your DB IN-MEMORY DATABASES Presenter #10: Robert Vitolo

 Stores and manipulates table data within the main memory space  Also known as:  MMDB (Main Memory Database)  IMDB (In-Memory Database)  IMDS (In-Memory Database System)  Implemented using a large amount of memory and/or compression schemes  Characterized by high performance through algorithmic simplicity and the lack of I/O operations IN-MEMORY DATABASES SUMMARIZED

 Real-time data processing  Usage in embedded devices  More efficient use of computer resources  Data-set testing in application development  Reduced development / manufacturing cost for products  Feasibility due to dropping cost of RAM  Cost effective alternative to data warehousing  High capacity support through compression  Flexibility through hybrid products  Support of the ACID standard 10 REASONS SUMMARIZED

 When information is changing on a constant basis (in real- time)  Examples:  Stock market trading  Sensor monitoring  Online auctions  Air traffic control  Limitations of traditional DBs: lack timing constraints, consistently high performance  Real-time database systems utilizing an MMDB model can ensure consistency in the data that is captured and queried REAL TIME DATA PROCESSING

 “Smart” devices dedicated to handle specific tasks  Examples:  Set-top boxes  Cell phones: “Smart Phones”  Rely on main memory for local storage of retrieved data  Typically low power devices designed with modest hardware specifications  Absence of magnetic disks improves power performance and MMDBs still operate faster than flash memory EMBEDDED DEVICES

 Traditional DB optimization has focused on enhancing speed through improving frequent file I/O operations  MMDBs are built from the ground up from the viewpoint of maximizing memory performance, fewer CPU instructions  Fewer I/O operations, no need for building large indexes, no cache management, less code complexity  CPU spends the bulk of it’s time working directly with data, not managing, translating, and moving it between CPU and disks EFFICIENT USE OF RESOURCES

 Manufacturers of enterprise database/server applications need to run test suites on their software using large datasets to identify bugs  Utilizing an MMDB reduces build times and down time by processing the dataset more quickly. TESTING IN ENTERPRISE APPLICATIONS

 Streamlined code allows for easier development and easier debugging and troubleshooting.  Specialized devices like smart phones can be manufactured for less money, as they don’t require extra disks for redundancy and can use fewer hardware components REDUCED DEVELOPMENT / MANUFACTURING COSTS

FALLING COST OF RAM

HARD DRIVE PRICES UP 90 – 180%

 Upfront costs of hardware, servers and space make building a data warehouse a non-starter for small to mid-sized businesses.  An MMDB and in-memory analytical tools provides the ability to analyze large data sets, but is simple to setup, administer, and maintain. ALTERNATIVE TO DATA WAREHOUSING

 Limitation of MMDB: Your database can only be as large as your main memory.  Diverted through compression: Oracle’s Exalytics product allows up to 10TB of data in main memory per 1TB DRAM chip.  In the future: deal with larger databases using DIMDB (Distributed In Memory Database) that harness the main memory systems of several computers connected by network or in the cloud  Example: Network Cloud DB by Xeround SUPPORT FOR LARGE DATABASES THROUGH COMPRESSION

 Some MMDBs can be run in a hybrid mode, allowing both in- memory data processing and on-disk tables.  Examples:  Solid DB by IBM  Altibase  H2  This allows an organization to try out an MMDB without abandoning their traditional DB structure if the hardware is already in place, or gradually transition to a fully MMDB solution as hardware needs to be replaced. FLEXIBILITY THROUGH HYBRID PRODUCTS

 ACID: Atomicity, Consistency, Isolation, and Durability  Biggest strength of an MMDB is also its biggest weakness: MMDB stores all data in volatile RAM  Getting around it:  NVRAM / Battery backup RAM  Redundancy through backup to disk storage / Network SUPPORT FOR ACID STANDARD