NewSQL Provides Scalable Performance Based On Relational Paradigm

To be able to access information from a database, you ‘ll need a database management system (DBMS); a collection of programs which allow you to select data in a database. For years now, database professionals have relied on the table-based SQL for data storage and retrieval, but the NewSOL database model abandons a number of traditional ideas about the right structure for a database in order to achieve enhanced performance flexibility.

Instead of using structured tables to store many related attributes in a row, NewSOL databases store values for each provided key and distribute them across the database. NewSQL is designed to facilitate the access of huge quantities of data where traditional SQL-based models fall short.  Some  NewSQL solutions are among others MemSQL, SaleArc, GenieDB, ClustrixDB and VoltDB.

NewSQL for Big Data Requirements

Many businesses are looking at big data as well as real-time analytics to understand their target market better in order to generate additional sales and they know that they can no longer rely on SQL to manage their database as it simply wasn’t designed with today’s big data requirements in mind. Enter NewSQL, a new type of relational database that uses SQL as the query language but provides the same scalable performance of NoSQL systems.

NewSQL brings the benefits of the relational paradigm to distributed architectures, providing such a high level of performance that horizontal scalability is less of a requirement. NewSQLguarantees atomicity, consistency, isolation, and durability (ACID), so important with ecommerce for instance. ClustrixDB, because of it scalability and analytics capabilities, is emerging as the NewSQL database of choice for e-commerce businesses who can make decisions on product recommendations and to also see what revenue will look like based on sales during certain periods.

This technology simply gives a business the flexibility needed to handle e-commerce traffic while also providing customers with a sophisticated digital shopping experience.  To address big-data OLTP business scenarios which traditional NoSQL systems can’t address, alternative database systems have evolved such as NewSQL systems. NewSQL is a set of different new scalable SQL database vendors who have designed solutions to bring the benefits of the relational model to the distributed architecture. Relational databases’ is improved so that their performance is no longer an issue.

NewSQL Handles High Profile Data

The information in a traditional database is organized in records, files and field, but a new database access language, NewSQL is simpler than the older SQL which has become outdated because it is seen as too complex and with too many flaws.  First used by 451 Group analyst Matthew Aslett, NewSQL is used by a number of enterprises systems handling high- profile data. Matthew Aslett writes “’NewSQL’ is our shorthand for the various new scalable/high performance SQL database vendors. We have previously referred to these products as ‘ScalableSQL’ to differentiate them from the incumbent relational database products.

Horizontal Scalability No Longer a Necessity

The goals of the NewSQL is to bring the benefits of the relational paradigm to distributed architectures so that horizontal scalability is no longer a necessity.   NewSQL systems vary with their internal architectures, but they all support the relational data model and also use SQL as their primary interface. Applications targeted by NewSQL systems are characterized by their number of transactions that are repetitive, are short lived and which touch a small subset of data using index lookups. NewSQL systems can be grouped into 3 categories:

■SQL Engines – providing the same programming interface as SQL,examples of new storage engines include InfiniDB and TokuDB.
■New architectures – designed to operate in a cluster of shared-nothing nodes; each node owning a subset of the data.  These databases, written from scratch, include components such as flow control, distributed concurrency control as well as distributed query processing. Example systems are GemFire XD, VoltDB and Google Spanner among others.
■Transparent sharding – a sharding middleware layer automaticall splits databases across many nodes such as Scalearc, ScaleBase and dbShards.

SQL was at first developed at IBM to retrieve data stored in their database management system and many business have become well acquainted with SQL, put in place to access and manipulate information and data stored in their databases as well as for creating new tables.

Valuable New Features

Databases store information about products and people for instance, starting in a word processing program or spreadsheet, but transferring information to a database created by a database management system. Developed in the late 1970s, SQL is an internationally-recognized programming language for defining relational databases. Many SQL Server professionals have been waiting anxiously for the release of the newSQL with its new features, among which are –

Clustered Columnstore Indexes – a clustered columnstore index improve query performance and data compression for data warehousing workloads. Clustered Columnstore Indexes are updatable which means Inserts, Updates, Deletes and Selects can be performed on tables.

Delayed Durability – SQL Server 2014 means some transactions being delayed durable; control returning to the client before the log record is written to disk. Delayed durability helps reduce latency related to log I/O. This setting provides for new scalability opportunities.
New Cardinality Estimation Design – improves query plan quality as well as query performance. The new estimator calculates cardinality, using assumptions and algorithms that support modern OLTP as well as data warehousing workloads.

Because of growth in OLTP systems, new solutions are required and information management systems like NewSQL systems cater to this trend and is ideal for those businesses who are either looking to develop new applications on scalable OLTP systems, those relying on existing knowledge of OLTP usage and those migrating from existing applications and who want to adapt to new patterns of data growth.

Start Benefiting Immediately

Companies need to do what it takes to win in an enormously competitive market and it can only benefit an organization to investigate a new technology; NewSQL, which is critical for bringing the power of distributed computing to relational databases, giving companies a competitive advantage. Relational database management systems (RDBMS) have always served in organizations, but today’s data-intensive transactional applications show them up as actually being inadequate for keeping up with the demands of the modern organization, but with NewSQL there will be dividends that an organization can immediately start benefiting from.

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