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Scalable SQL and NoSQL Data Stores - Rick Cattell Home Page

In this paper, we examine a number of SQL and socalled “NoSQL” data stores designed to scale simple OLTP-style application loads over many servers. Originally motivated by Web 2.0 applications, these systems are designed to scale to thousands or millions of users doing updates as well as reads, in contrast to traditional DBMSs and data warehouses. We contrast the new systems on their data model, consistency mechanisms, storage mechanisms, durability guarantees, availability, query support, and other dimensions. These systems typically sacrifice some of these dimensions, e.g. database-wide transaction consistency, in order to achieve others, e.g. higher availability and scalability. Note: Bibliographic references for systems are not listed, but URLs for more information can be found in the System References table at the end of this paper. Caveat: Statements in this paper are based on sources and documentation that may not be reliable, and the systems described are “moving targets,” so some statements may be incorrect. Verify through other sources before depending on information here. Nevertheless, we hope this comprehensive survey is useful! Check for future corrections on the author’s web site cattell.net/datastores. Disclosure: The author is on the technical advisory board of Schooner Technologies and has a consulting business advising on scalable databases.

Ultra-High Performance NoSQL Benchmarking - Aerospike

As companies deal with ever larger amounts of data and increasingly demanding workloads, a new class of databases has taken hold. Dubbed “NoSQL”, these databases trade some of the features used by traditional relational databases in exchange for increased performance and/or partition tolerance. But as NoSQL solutions have proliferated and differentiated themselves (into key-value stores, document databases, graph databases, and “NewSQL”), trying to evaluate the database landscape for a particular class of problem becomes more and more difficult. In this paper we attempt to answer this question for one specific, but critical, class of functionality – applications that need the highest possible raw performance for a reliable storage engine. There have been a few attempts to provide standardized tools to measure performance or other characteristics, but these have been hobbled by the lack of a clear mandate on exactly what they’re testing, plus an inability to measure load at the highest volumes. In addition, there is an implicit tradeoff between the consistency and durability requirements of an application and the maximum throughput that can be processed. What is needed is not an attempt to quantify every NoSQL solution into one artificial bucket, but a more systemic analysis of how some of these databases can achieve under assumptions that mirror real-world application needs. We attempted to provide a comprehensive answer to one specific set of use cases for NoSQL databases -- consumer-facing applications which require extremely high throughput and low latency, and whose information can be represented using a key-value schema. In particular, we look at two common scenarios.

An Introduction to Stretchr: The intelligent Datastack impact to nosql ...

CUSTOMER TESTIMONIAL: FRONT PORCH DIGITAL’S RAPID APPLICATION DEVELOPMENT Front Porch Digital, Inc. is a world leader in digital asset workflow management serving global leaders in the entertainment industry. Front Porch Digital recently integrated Stretchr into its application development processes. “Stretchr has fundamentally changed the way we approach data systems development. Today’s data comes in so many shapes and sizes and is always changing, requiring you to spend a huge amount of time designing and editing schemas in traditional databases or developing expertise in NoSQL technology. With Stretchr all of that time and complexity goes away. You simply acquire the data, from any source and in any form. Stretchr then organizes the data for you based on how your users consume it – it couldn’t be simpler. Our first integration with Stretchr took an afternoon, and was effectively the insertion of one line of code into our existing application. So happy are we with the way Stretchr works and performs that we are tightly integrating our newest products with Stretchr, cutting development times significantly”.

Solving Data Integration Challenges with SQL and NoSQL - FOSE

Many organizations today would seemingly be content with having achieved an information architecture that features a broad-scope enterprise resource management environment feeding data in batch for reporting and analytics to a robust data warehouse environment. As a bonus, the data warehouses in this post-operational environment may consist of solid-state components and automated archival abilities. Irreversibly, the environment also has been inundated with data marts fed from original source and from the data warehouse itself. There is frequently a multidimensional database in the mix. Or a hundred. If there is any contentment with such an architecture, it will be short-lived. With information the “new gold” for companies, each shop must do everything it can to nurture, protect, make available and otherwise exploit the information asset. This will frequently mean venturing into new technology domains for the management of the asset. One may be tempted to consider the NoSQL movement as the epitome of these new technology domains. However, many possibilities have been laid on the table by the vendor community in the years prior to NoSQL. Most have merit in an enterprise today. We clearly need to get away from the winner-take-all mentality where every workload – sometimes whether it is analytical or operational – will be solved the same way as the last one. Frequently, that way was with a data integration operation with the data warehouse followed by the deployment of more reports in the business intelligence tool. Force-fitting a workload into a technology that it was not designed for creates more problems than it solves.

Static and Dynamic Semantics of NoSQL Languages - PPS

that is deduced directly from the structure of the program even in the absence of any explicit type declaration or annotation. We present a calculus for processing semistructured data that spans differences of application area among several novel query languages, broadly categorized as “NoSQL”. This calculus lets users define their own operators, capturing a wider range of data processing capabilities, whilst providing a typing precision so far typical only of primitive hard-coded operators. The type inference algorithm is based on semantic type checking, resulting in type information that is both precise, and flexible enough to handle structured and semistructured data. We illustrate the use of this calculus by encoding a large fragment of Jaql, including operations and iterators over JSON, embedded SQL expressions, and co-grouping, and show how the encoding directly yields a typing discipline for Jaql as it is, namely without the addition of any type definition or type annotation in the code.

Will NoSQL Databases Live Up to Their Promise? - Leavitt ...

Organizations that collect large amounts of unstructured data are increasingly turning to nonrelational databases, now frequently called NoSQL databases. M any organizations collect vast amounts of customer, scientific, sales, and other data for future analysis. Traditionally, most of these organizations have stored structured data in relational databases for subsequent access and analysis. However, a growing number of developers and users have begun turning to various types of nonrelational—now frequently called NoSQL—databases. Nonrelationa l dat a ba ses— including hierarchical, graph, and object-oriented databases—have been around since the late 1960s. However, new types of NoSQL databases are being developed. And only now are they beginning to gain market traction. Different NoSQL databases take different approaches. What they have in common is that they’re not relational. Their primary advantage is that, unlike relational databases, they handle unstructured data such as word-processing files, e-mail, multimedia, and social media efficiently. They are also easier to work with for the many developers not familiar 12 r2tec.indd 12 computer with the structured query language. SQL is the programming language used for querying and updating relational databases. Some NoSQL databases can function in a distributed setting. Users could thus scale a single database by running it across additional inexpensive machines rather than by having to run it on a single more powerful and costly machine.

PostgreSQL as a Schemaless Database - The Build

PostgreSQL as a Schemaless Database. Christophe Pettus PostgreSQL Experts, Inc. OSCON 2013 Welcome! • I’m Christophe. • PostgreSQL person since 1997. • Consultant with PostgreSQL Experts, Inc. • cpettus@pgexperts.com • thebuild.com • @xof on Twitter. What’s on the menu? • What is a schemaless database? • How can you use PostgreSQL to store schemaless data? • How does do the various schemaless options perform? A note on NoSQL. • Worst. Term. Ever. • It’s true that all modern schemaless databases do not use SQL, but… • Neither did Postgres before it became PostgreSQL. (Remember QUEL?) • The defining characteristic is the lack of a fixed schema. Schematic. • A schema is a fixed (although mutable over time) definition of the data. • Database to schema (unfortunate term) to table to field/column/attribute. • Individual fields can be optional (NULL). • Adding new columns requires a schema change.

WSJ NBC News Poll - Wall Street Journal

Study #13528 -- page 1 NBC News/Wall Street Journal Survey Interviews: 1000 Adults, including 300 cell phone only respondents Date: December 4-8, 2013 48 Male 52 Female Study #13528 NBC News/Wall Street Journal Survey Please note: all results are shown as percentages unless otherwise stated. The margin of error for 1000 interviews among Adults is ±3.10% Unless otherwise noted by a “+”, all previous data shown reflects responses among all adults. Q2a For statistical purposes only, would you please tell me how old you are? (IF “REFUSED,” ASK:) Well, would you tell me which age group you belong to? (READ LIST) 18-24 .................................................................... 25-29 .................................................................... 30-34 .................................................................... 35-39 .................................................................... 40-44 .................................................................... 45-49 .................................................................... 50-54 .................................................................... 55-59 .................................................................... 60-64 .................................................................... 65-69 .................................................................... 70-74 .................................................................... 75 and over .......................................................... Not sure/refused ................................................ Q2b To ensure that we have a representative sample, would you please tell me whether you are from a Hispanic or Spanish-speaking background? Yes, Hispanic ................................................... No, not Hispanic .............................................. Not sure/refused ............................................ Q2c 12 6 10 8 11 7 9 10 10 5 4 6 2 11 89 - And again, for statistical purposes only, what is your race--white, black, Asian, or something else? White .............................................................. Black .............................................................. Asian .............................................................. Other .............................................................. Hispanic (VOL) ............................................. Not sure/refused .......................................... 74 12 3 4 6 1 HART RESEARCH ASSOCIATES/PUBLIC OPINION STRATEGIES December 2013 Q3 Study #13528 -- page 2 NBC News/Wall Street Journal Survey All in all, do you think things in the nation are generally headed in the right direction, or do you feel things are off on the wrong track? High 9/01 72 11 11 6 Low 10/1720/08+ 12 78 7 3 4/11 28 63 6 3 2/11 31 60 6 3 1/11 35 56

NBC poll - Wall Street Journal
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Date: October 7-9, 2013 48 Male 52 Female Study #13413 NBC News/Wall Street Journal Survey Please note: all results are shown as percentages unless otherwise stated. The margin of error for 800 interviews among Adults is ±3.46% Unless otherwise noted by a “+”, all previous data shown reflects responses among all adults. Q2a For statistical purposes only, would you please tell me how old you are? (IF “REFUSED,” ASK:) Well, would you tell me which age group you belong to? (READ LIST.) 18-24 .................................................................... 25-29 .................................................................... 30-34 .................................................................... 35-39 .................................................................... 40-44 .................................................................... 45-49 .................................................................... 50-54 .................................................................... 55-59 .................................................................... 60-64 .................................................................... 65-69 .................................................................... 70-74 .................................................................... 75 and over .......................................................... Not sure/refused ................................................ Q2b To ensure that we have a representative sample, would you please tell me whether you are from a Hispanic or Spanish-speaking background? Yes, Hispanic ................................................... No, not Hispanic .............................................. Not sure/refused ............................................ Q2c 10 7 11 8 11 7 9 9 11 6 4 6 1 11 88 1 And again, for statistical purposes only, what is your race--white, black, Asian, or something else? White .............................................................. Black .............................................................. Asian .............................................................. Other .............................................................. Hispanic (VOL) ............................................. Not sure/refused ..........................................

Oct. 25-28 - Wall Street Journal

Study #13452 -- page 1 NBC News/Wall Street Journal Survey Interviews: 800 Adults, including 240 cell phone only respondents Date: October 25-28, 2013 48 Male 52 Female Study #13452 NBC News/Wall Street Journal Survey Please note: all results are shown as percentages unless otherwise stated. The margin of error for 800 interviews among Adults is ±3.46% Unless otherwise noted by a “+”, all previous data shown reflects responses among all adults. Q2a For statistical purposes only, would you please tell me how old you are? (IF “REFUSED,” ASK:) Well, would you tell me which age group you belong to? (READ LIST.) 18-24 .................................................................... 25-29 .................................................................... 30-34 .................................................................... 35-39 .................................................................... 40-44 .................................................................... 45-49 .................................................................... 50-54 .................................................................... 55-59 .................................................................... 60-64 .................................................................... 65-69 .................................................................... 70-74 .................................................................... 75 and over .......................................................... Not sure/refused ................................................ Q2b To ensure that we have a representative sample, would you please tell me whether you are from a Hispanic or Spanish-speaking background? Yes, Hispanic ................................................... No, not Hispanic .............................................. Not sure/refused ............................................ Q2c 10 8 9 9 11 7 8 10 12 6 4 5 1 11 89 - And again, for statistical purposes only, what is your race--white, black, Asian, or something else? White .............................................................. Black .............................................................. Asian .............................................................. Other .............................................................. Hispanic (VOL) ............................................. Not sure/refused .......................................... 74 12 2 4 7 1 HART RESEARCH ASSOCIATES/PUBLIC OPINION STRATEGIES Late October 2013 Q3 Study #13452 -- page 2 NBC News/Wall Street Journal Survey All in all, do you think things in the nation are generally headed in the right direction, or do you feel things are off on the wrong track? High 9/01 72 11 11 6

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