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Lexington, MA (PRWEB) May 26, 2015

jSonar today announced, SonarW, a major, new, capability for its jSonar Analytics Platform. SonarW is a NoSQL Data Warehouse – the industry’s first JSON-native data warehouse. SonarW is 100% MongoDB compatible, providing seamless data warehousing for MongoDB OLTP environments. SonarW can also be easily deployed within Hadoop environments.

SonarW: An Architecture for Speed, Low Cost and Simplicity

SonarW is purpose-built for today’s flexible modern data. SonarW is ultra-efficient, utilizing parallel processing that demands far less hardware than other approaches. SonarW’s second focus is on usability and convenience – bringing NoSQL simplicity to the Big Data world. Key architectural features include:

JSON-native columnar persistence: This works well for both structured and unstructured data; data is always compressed; and can be processed in parallel for every operation.
Indexing and Partitioning: All data is indexed using patent-pending Big Data indexes.
Parallel and Distributed Processing: Everything is done in parallel-both across nodes and within a node to ensure small, cost effective clusters.
JSON Optimized Code: Designed from the ground up for efficient columnar JSON processing.
Lock-less Data Structures: Built for multi-thread, multicore, and SIMD processing
Ease of Use: SonarW inherits its ease of use and simplicity form the NoSQL world and is 100% MongoDB compatible. Big Data teams are more productive and need to spend less time on platform and code.

“At Intensix, we improve clinical outcomes and reduce hospital costs by processing high dimensional, high frequency data from multiple sources inside the critical care unit. Our predictive analytics engine is using advanced machine learning techniques to analyze very large sets of clinical data, helping clinicians make better decisions- thus decreasing complications, mortality and length of stay,” said Avigdor Faians, VP Product at Intensix. “We’re excited about SonarW’s game-changing cost/performance for such data sets and the new analytics it will allow us to perform.”

Big Data Benchmark: Breakthrough Cost and Performance Results

One of the benchmarks used for Big Data workloads is the “Big Data Benchmark” run by the AMP lab at Berkeley. This benchmark runs workloads on representatives from the Hadoop ecosystem (e.g. Hive, Spark, Tez, etc) as well as from MPP environments. Benchmark testing shows that SonarW runs as fast- or faster – than other BIg Data technologies with significantly less hardware. Test results show an order of magnitude advantage in price/performance versus other current approaches. More detailed information of the test results are available at http://www.jsonar.com.

”We are very excited to introduce SonarW – a significant breakthrough for Big Data analytics in terms of simplicity, cost and performance,” said Ron Bennatan, CEO and co-founder of jSonar. “This is the culmination of years’ worth of work and input from customers with some of the world’s largest and most demanding warehousing environments who need to deliver applications quickly and are no longer willing to spend like crazy and get very little in return.”

jSonar Analytic Tools: Point and Click Simplicity

In addition to SonarW, jSonar provides rich analytical tools for JSON-data environments – for both MongoDB and SonarW. JSON Studio, the recipient of a MongoDB Innovation Award, provides a comprehensive suite of analytical tools that can be used by everyone in the organization. Other high productivity tools include; SonarSQL, SonarR and Sonar Gateway. For more information please visit our web site http://www.jsonar.com.

Availability

SonarW is available July 2015. To schedule a demo or learn more visit http://www.jsonar.com

About jSonar

The jSonar Analytics Platform provides an innovative JSON-based capability for Big Data warehousing and a suite of rich analytic tools. SonarW, a core component of the platform, is the industry’s first NoSQL Warehouse. SonarW delivers unprecedented performance, cost savings and vastly simplifies complex Big Data warehousing projects. jSonar also provides powerful analytic tools such as jSON Studio, SonarR, SonarSQL and Sonar Gateway. These tools, as well as SonarW, are 100% MongoDB compatible. JSON Studio is a recipient of the MongoDB Innovation award for 2014 and a certified MongoDB Ready Partner. For more information visit http://www.jsonar.com.

Contact: Ron Bennatan, jSonar, 781-369-JSON(5766), press(at)jsonar(dot)com

Washington, D.C., (PRWEB) October 29, 2014

The Big Data and Enterprise Architecture Conference, to be held by the non-profit Data Management Forum on November 19-21, 2014, in Washington, D.C., is a premier event that shows how breakthroughs in Big Data, Data Warehousing methods, tools and approaches are shaping enterprise architecture within major corporations, governments and businesses on a world-wide basis, while citing from practical applications developed in various industries. It will describe how Big Data—and unstructured data in particular—will vastly influence the Data Management world over the next few years.

Speakers involved with DAMA, NASA, IBM, National Science Foundation, DARPA, National Institutes of Health, Dept. of Defense and White House Presidential Initiative on BIG DATA Research and Development and similar organizations dealing with Big Data issues will discuss some of the most successful programs that promise to greatly improve the tools and techniques needed to access, organize, and glean discoveries from huge volumes of digital data. Such programs hold the promise to solve the Nation’s most pressing challenges using Big Data Technologies in Education; Science; Defense/Intelligence; Biomedical Research; Computing; Energy; and in many more major arenas.

On Friday, the main seminar day, The 2014 Data Warehouse and Enterprise Architecture conference speaker list showcases topics in big data, analytics, enterprise architecture and data warehousing. Bill Inmon, the “Father of Data Warehousing” will present the keynote address, concerning the role of unstructured data in the big data world. Bill describes how some important innovative architectural features are intertwined – the life cycle of data, the need to connect unstructured data with structured data, the need to tightly couple metadata with the warehouse itself, the need for an enterprise metadata repository – all these features are vitally important for the next generation of data warehousing – and all are important to accommodate the needs for big data and analytics.

As an example of the power of NoSQL DB s in handling ANY kind of data—BIG or small—Mr. Norman T. Kutemperor (who has been called the “Father of NoSQL”), of Scientel will present an enhanced Enterprise Content Management & Search (ECMS) solution based on Scientel’s Gensonix NoSQL DB for structured and unstructured Big Data. ECMS can store, organize, and access at many levels virtually any kind of digitized data that an organization wants to track cost-effectively.

It will also focus on how its Gensonix NoSQL DB stores structured/unstructured data in Relational, Network, and Document formats, and is ideal for business, scientific, medical, etc., environments, as well as raw data analysis applications.

Other primary aspects will also be described, such as: Gensonix utilizes the NSQL® language; is native to low level languages such as C; supports many intrinsic functions; and performs easy recursive database/computing operations. Supporting multi-dimensional array processing, Gensonix is capable of very efficient analysis of vast amounts of structured and unstructured data at ultrahigh speeds. Gensonix also runs on Large Data Warehouse Appliance configurations and scales to large numbers of multiprocessor nodes.

Brief example case studies to be presented will show how: (a) Gensonix is faster and more economical in both development and production environments; (b) Gensonix can tackle complex problems that are difficult or nearly impossible with certain other types of database solutions; (c) Gensonix fully processes Trillion-record level large data tables without the use of table joins; (d) Scientel’s Gensonix-based ECMS can perform comprehensive, Enterprise-wide, cost-effective, management of ALL digitized data—“Big” or not.; (e) Gensonix can handle Big Data transactional data at speeds in excess of 1 Million transactions/minute, with R&D focusing on speeds much larger on LDWA equipment.

About Scientel Information Technology, Inc.

Scientel Information Technology, Inc. is a U.S.-based, international, systems technology company, operational since 1977. Scientel also designs/produces highly optimized high end servers, which can be bundled with its “GENSONIX® ENTERPRISE” DBMS software, as a single-source supplier of complete systems for Big Data environments. Scientel also customizes hardware and software for specific applications resulting in higher performance

.

Scientel’s specialty is advanced NoSQL DBMS design and applications/systems integration for advanced business processes. This includes applications for Big Data, commercial intranets, Supply Chain management, IT consulting, support, etc., along with “beyond mainframe-level” Large Data Warehouse Appliance hardware/systems.

GENSONIX® allows very user-friendly data manipulation capabilities found in standard, SQL-based, database management systems, but it goes beyond. It is truly an “ALL-in-One SQL” — an “All Data Management System” in the form of an ultra-flexible, NoSQL DBMS of perfectly general capabilities and application potentials. It can also function in concert with mainline SQL systems to efficiently handle both structured and unstructured data as a large data warehouse repository. However, it can handle heavy database loads by itself with the aid of the GENSONIX® NSQL©™ query/procedural language. GENSONIX® supports both telnet as well as http interfaces. GENSONIX® is capable of handling trillions of rows/transactions for billions of customers, which is a huge advantage in “truly Big Data” structured applications.

Business customers can take advantage of Scientel’s capabilities in advanced Business Intelligence and Data Analytics to grow their business by handling Big Data more cost-effectively and with greater insights to remain competitive. Scientific, government, and similar organizations can use these capabilities to efficiently process Big Data, instead of being swamped by it. And, Scientel’s Enterprise Content Management & Search solutions can vastly simplify storage, access, and management of any kind of digitized data for any size organization.

Find More Big Data Enterprise Press Releases

Washington, D.C., November 21,2014 (PRWEB) November 25, 2014

The Big Data and Enterprise Architecture Conference was held by the non-profit Data Management Forum on November 19-21, 2014, in Washington, D.C. This was a premier event that showed how breakthroughs in Big Data, Data Warehousing methods, tools and approaches are shaping enterprise architecture within major corporations, governments and businesses on a world-wide basis, while citing from practical applications developed in various industries. It described how Big Data—and unstructured data in particular—will vastly influence the Data Management world over the next few years.

Speakers involved with DAMA, NASA-Jet Propulsion Lab, IBM, National Science Foundation, and similar organizations dealing with Big Data issues discussed some of the most successful programs that will greatly improve the tools and techniques needed to access, organize, and glean discoveries from huge volumes of digital data. Such programs hold the promise to solve the Nation’s most pressing challenges using Big Data Technologies in Education; Science; Defense/Intelligence; Biomedical Research; Computing; Energy; and in many more major arenas.

On Friday, the main seminar day, The 2014 Data Warehouse and Enterprise Architecture conference agenda listed showcase topics in Big Data, Analytics, Enterprise Architecture and Data Warehousing. Bill Inmon, the “Father of Data Warehousing”, presented the keynote address, concerning the role of unstructured data in the big data world. Bill described how some important innovative architectural features are intertwined – the life cycle of data, the need to connect unstructured data with structured data, the need to tightly couple metadata with the warehouse itself, the need for an enterprise metadata repository – all these features are vitally important for the next generation of data warehousing – and all are important to accommodate the needs for Big Data and Analytics.

As an example of the power of NoSQL DB in handling ANY type of Big Data, Mr. Norman T. Kutemperor (who has been called the “Father of NoSQL”), of Scientel also presented an enhanced Enterprise Content Management & Search (ECMS) solution based on Scientel’s Gensonix NoSQL DB for the varieties of unstructured Big Data. ECMS can store, organize, and access at many levels virtually any kind of digitized data that an organization wants to track cost-effectively.

Scientel’s presentation also focused on how its Gensonix NoSQL DB –a “polymorphic” DB — stores structured/unstructured data in Relational, Network, and Document formats, and is ideal for business, scientific, medical, etc., environments, as well as raw data analysis applications.

Polymorphism is the ability of an entity to behave like more than 1 of its counterparts given a set of circumstances or criteria; or, the provision of a single interface (a shared boundary across which separate components of a computer system exchange information) to entities of different types. In other words, in a polymorphic DB, you can use a relational approach when that is appropriate, hierarchical when that is, and so on. No one paradigm is fully implemented, but the DB uses enough of the features/capabilities needed to provide a reasonable solution to a problem.

It was noted that Gensonix has 7 main key features: Multi-modeling, Document stores, NSQL Language, SQL queries, Transaction Tables with OLTP, MPP on HPC and Never-Slow technology—ALL in a single DB! This identifies Gensonix as truly a polymorphic DB which allows it to behave like another DB in other instances.

Other primary aspects were also described, such as: Gensonix utilizes the NSQL® language; is native to low level languages such as C; supports many intrinsic functions; and performs easy recursive database/computing operations. Supporting multi-dimensional array processing, Gensonix is capable of very efficient analysis of vast amounts of structured and unstructured data at ultrahigh speeds. Gensonix also runs on Large Data Warehouse Appliance configurations and scales to large numbers of multiprocessor nodes.

Brief example case studies were presented that showed how: (a) Gensonix is faster and more economical in both development and production environments; (b) Gensonix can tackle complex problems that are difficult or nearly impossible with certain other types of database solutions; (c) Gensonix fully processes Trillion-record level large data tables without the use of table joins; (d) Scientel’s Gensonix-based ECMS can perform comprehensive, Enterprise-wide, cost-effective, management of ALL digitized data—“Big” or not.; (e) Gensonix can handle Big Data transactional data at speeds in excess of 2 Million transactions/minute on a single node, with speeds much larger on LDWA equipment.

About Scientel Information Technology, Inc.

Scientel Information Technology, Inc. is a U.S.-based, international, systems technology company, operational since 1977. Scientel also designs/produces highly optimized high end servers, which can be bundled with its “GENSONIX® ENTERPRISE” DBMS software, as a single-source supplier of complete systems for Big Data environments. Scientel also customizes hardware and software for specific applications resulting in higher performance.

Scientel’s specialty is advanced NoSQL DBMS design and applications/systems integration for advanced business processes. This includes applications for Big Data, commercial intranets, Supply Chain management, IT consulting, support, etc., along with “beyond mainframe-level” Large Data Warehouse Appliance hardware/systems.

GENSONIX® allows very user-friendly data manipulation capabilities found in standard, SQL-based, database management systems, but it goes beyond. It is truly an “ALL-in-One SQL” — an “All Data Management System” in the form of an ultra-flexible, NoSQL DBMS of perfectly general capabilities and application potentials. It can also function in concert with mainline SQL systems to efficiently handle both structured and unstructured data as a large data warehouse repository. However, it can handle heavy database loads by itself with the aid of the GENSONIX® NSQL©™ query/procedural language. GENSONIX® supports both telnet as well as http interfaces. GENSONIX® is capable of handling trillions of rows/transactions for billions of customers, which is a huge advantage in “truly Big Data” structured applications.

Business customers can take advantage of Scientel’s capabilities in advanced Business Intelligence and Data Analytics to grow their business by handling Big Data more cost-effectively and with greater insights to remain competitive. Scientific, government, and similar organizations can use these capabilities to efficiently process Big Data, instead of being swamped by it. And, Scientel’s Enterprise Content Management & Search solutions can vastly simplify storage, access, and management of any kind of digitized data for any size organization.

Find More Big Data Technology Press Releases

Enterprise Big Data Technology stack remains incomplete without the use of one or more NoSQL technologies. However given the large number of NoSQL technologi…

Los Angeles, CA (PRWEB) August 16, 2012

DATAVERSITY today announced a number of late additions to the NoSQL Now! Conference schedule making this year’s event the most anticipated multi-vendor NoSQL event on record. The conference, set for August 21 – 23 at the San Jose Convention Center, expects 1000 attendees and 80 presenters.

New presentations added to the conference line up include:

Dropping ACID: Architecting with Eventual Consistency in the Cloud by Jason Bloomberg of ZapThink.
Moving Beyond the No/New/SQL Debate: Introducing the Application Data Layer, by Mike Miller of Cloudant
Keeping up with Streaming/Sensor Data by Dave Brown of EMC
Market sensing Using a Graph Database by Montiago LaBute of YarcData

To see the full program go to: http://nosql2012.dataversity.net/agenda.cfm?confid=70&scheduleDay=PRINT

Many new sponsors and exhibitors have also joined the exhibit floor in recent weeks, including VoltDB, Versant, Oracle, OpenShift (by Red Hat), StarCounter, Phasic Systems, Yarc Data, Analytica, Gigaspaces, Clustrix, Cloudant, Metric Insights and Manning Publications.

Some highlights from these exhibiting organizations include:

VoltDB is a NewSQL database that is focused on high velocity, 100% accuracy with real-time analytics. VoltDB will conduct a Lunch n Learn workshop so that conference attendees can start to gain experience with VoltDBs newest generation database for micro-transactions, low-latency, real-time feeds, sensor-driven data, and throughput of millions of operations per second.

Metric Insights will show a detailed Big Data case study of how Barnes & Noble Inc. uses Metric Insights to create insights from a 100 Terabyte Aster data store. The system is used by hundreds of users daily, both internal and at external partners sites.

Starcounter will discuss the companys patent-pending VMDBMS technology, which is more than 100 times faster than traditional databases and 10 times faster than high performance databases. Its in-memory database is ideal for highly transactional large-scale and real-time applications, while guaranteeing ACID-compliant transactions.

YarcData’s uRiKA system is a Big Data appliance for graph analytics. uRiKA helps enterprises reveal unknown, unexpected or hidden relationships in Big Data by creating a highly-scalable, real-time graph analytics warehouse that supports ad hoc queries, pattern-based searches, inferencing and deduction. Yarc Data is a Cray company.

Versants Robert Greene, will examine NoSQLs adoption problems that stem from a lack of standards-based programming techniques, and will describe how to use JPA to get around them. The presentation will feature Big Data deployment examples from the utilities and energy management sectors showing how consumer energy demand response and AMI harvesting can be performed at high speed and scale using Hadoop and Java.

NoSQL Now! is the preferred industry platform for developers to announce product launches and breaking news. Leading vendors will demonstrate dozens of innovations. This years Platinum level sponsors include leading graph vendors like Neo Technology (creators of Neo4j) and Objectivity, the company behind InfiniteGraph. Additional NoSQL and high-performance database companies who will be exhibiting include 10gen, Couchbase, DataStax, Amazon Web Services, Clustrix, Franz and Cloudant. For more information on sponsorship or opportunities to promote your products and services, please contact Tony Shaw at tony(at)dataversity(dot)net.

To register for the conference, request a press pass, or to view the program schedule visit: http://nosql2012.dataversity.net/

For press inquiries please contact Gretchen Hydo at Gretchen(at)Chatterboxink(dot)com or (818) 203-6060.

About NoSQL Now!:

NoSQL Now! is an educational conference and exhibit focused on the emerging field of NoSQL technologies. NoSQL (Not Only SQL) refers to the new breed of databases that are not based on the traditional relational database model, including document stores, key value stores, columnar databases, XML databases and graph databases. The NoSQL Now! Conference is designed to educate developers, data managers and architects on how these new technologies work, the applications they are best suited for, and how to deploy them. Additional details are available at http://www.NoSQLNow.com.

About DATAVERSITY:

DATAVERSITY provides resources for information technology (IT) professionals, executives and business managers to learn about the uses and management of data. Our worldwide community of practitioners, advisers and customers participates in, and benefits from, DATAVERSITYs educational conferences, discussions, articles, blogs, webinars, certification, news feeds and more. Members enjoy access to a deep knowledge base of presentations, research and training materials, plus discounts off many educational resources including webinars and conferences. For more information please visit: http://www.Dataversity.net or email info(at)dataversity(dot)com.

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