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Splout SQL

Installing and running Splout. Loading an example dataset. Ready for the web. Splout allows serving an arbitrarily big dataset. With high QPS rates. And at the same time provides full SQL. Query syntax. Splout is appropriated for web page serving, many low latency lookups. Scenarios such as mobile or web applications with demanding performance. Plays well with Hadoop. For decoupling database creation. From database serving. The data is always optimally indexed. Splout is horizontally scalable.

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Splout SQL | sploutsql.com Reviews

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Installing and running Splout. Loading an example dataset. Ready for the web. Splout allows serving an arbitrarily big dataset. With high QPS rates. And at the same time provides full SQL. Query syntax. Splout is appropriated for web page serving, many low latency lookups. Scenarios such as mobile or web applications with demanding performance. Plays well with Hadoop. For decoupling database creation. From database serving. The data is always optimally indexed. Splout is horizontally scalable.

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2 features

3 philosophy

4 technical details

5 architecture

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7 getting started

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Splout SQL | sploutsql.com Reviews

https://sploutsql.com

Installing and running Splout. Loading an example dataset. Ready for the web. Splout allows serving an arbitrarily big dataset. With high QPS rates. And at the same time provides full SQL. Query syntax. Splout is appropriated for web page serving, many low latency lookups. Scenarios such as mobile or web applications with demanding performance. Plays well with Hadoop. For decoupling database creation. From database serving. The data is always optimally indexed. Splout is horizontally scalable.

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sploutsql.com

1

Splout SQL's performance

http://sploutsql.com/performance.html

Installing and running Splout. Loading an example dataset. Splout has been designed keeping performance and efficiency in mind. We are continuously benchmarking it in order to make sure that it delivers the performance we designed it for. Throughput and scalability benchmark. With this benchmark we wanted to showcase several things:. Splout's SQL serving throughput:. That Splout delivers a good performance for arbitrary real-time SQL aggregations. Splout's indexing and data generation time:. Correspondin...

2

Splout SQL's architecture

http://sploutsql.com/architecture.html

Installing and running Splout. Loading an example dataset. Splout SQL is a read-only DB. Because of this, the overall architecture is quite simple. Splout SQL is installed on a cluster of commodity hardware machines. Each of the machines runs a DNode. Service and optionally a QNode. But there must be at least one QNode service among the cluster. QNodes implement a REST API. For serving users' queries or receiving deploy / rollback requests. Because data is partitioned. Data balancing and indexing. The DN...

3

Getting started with Splout SQL

http://sploutsql.com/gettingstarted.html

Installing and running Splout. Loading an example dataset. Getting started with Splout SQL. You need to have Java = 1.6 preinstalled. Download a release of Splout from Maven Central:. Version for Hadoop = 2.X (YARN). Version for Hadoop 2.X. Others (cdh5, etc) for your particular Hadoop distribution. After that, you just need to decompress it. You'll need to set properly a few environmental variables (i.e. at /.bashrc). For Hadoop = 2.X (YARN). SPLOUT HADOOP COMMON HOME. SPLOUT HADOOP HDFS HOME. Export SP...

4

Splout SQL's philosophy

http://sploutsql.com/philosophy.html

Installing and running Splout. Loading an example dataset. There are many Big Data problems whose output is also Big Data. Splout targets these problems offering a solution for batch-processing big datasets and deploying them atomically to a read-only cluster that can serve SQL queries over the resulting data. Why Big Data views? But they lack all the features of a rich query language such as SQL. In the past few years we have lived a revolution in the Big Data processing and serving world. We have s...

5

Splout SQL Team

http://sploutsql.com/team.html

Installing and running Splout. Loading an example dataset. Splout SQL is supported by Datasalt. Iván de Prado Alonso. If you want to contribute just drop us some lines. :-). Splout is maintained by Datasalt.

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datasalt.es

Splout SQL - DatasaltDatasalt

http://www.datasalt.es/productos/splout-sql

Provée una “vista” SQL sobre tu Big Data con latencias por debajo del segundo y alto rendimiento. Es a Hadoop y las bases de datos SQL lo que Voldemort. Son a Hadoop y las bases de datos llave / valor. Hay muchos problemas Big Data cuyo output también es Big Data. Splout permite servir un conjunto de datos arbitrariamente grande gracias a poder particionarlo. Hay muchas bases de datos que permiten el servicio de Big Data como las NoSQL, pero no tienen un lenguaje rico de consulta. Cada “tablespace&...

datasalt.es

El estado actual del "SQL para Hadoop" - DatasaltDatasalt

http://www.datasalt.es/2014/04/el-estado-actual-del-sql-para-hadoop

El estado actual del “SQL para Hadoop”. Escrito por Pere Ferrera Bertran. En abril 3, 2014. Desde la adopción masiva de Hadoop, muchas herramientas open-source y propietarias han aparecido que tratan de resolver el problema de “hacer consultas sobre Hadoop”. Hadoop comenzó como un simple (aunque poderoso) framework Big Data consistente en (1) una capa de almacenamiento (HDFS, inspirado GFS. Cómo es el conector? Cómo de maduro es? Y cómo de eficiente es? Después de unos años de fuerte tendencia “NoS...

adriangrigoras.com

Lambda Architecture: A state-of-the-art | Adrian Grigoras

http://adriangrigoras.com/blog/lambda-architecture-state-of-the-art

Lambda Architecture: A state-of-the-art. April 22, 2015. Lambda Architecture: A state-of-the-art. It’s been some time now since Nathan Marz wrote the first Lambda Architecture post. What has happened since then? How has the community reacted to such a concept? What are the architectural trends in the Big Data space, as well as the challenges and remaining problems? Big Data: Batch processing-only. And I think it will continue to be so. The consolidated adoption of Hadoop,. And future paradigms like Tez.

datasalt.com

Splout SQL | Datasalt

http://www.datasalt.com/products/splout-sql

Provides a SQL view over your Big Data with sub-second latencies and high throughput. Is to Hadoop SQL what Voldemort. Are to Hadoop Key/Value. There are many Big Data problems whose output is also Big Data. Splout allows serving an arbitrarily big dataset by partitioning it. There are many databases that allow serving Big Data such as NoSQL solutions, but they don’t have a rich query language. In a Big Data Serving solution. By adding more machines you can increase throughput linearly. Splout coordi...

datasalt.com

SQL on Hadoop: A state of the art | Datasalt

http://www.datasalt.com/2014/04/sql-on-hadoop-state-of-the-art

SQL on Hadoop: A state of the art. Written by Pere Ferrera Bertran. On April 1, 2014. Since the mainstream adoption of Hadoop, many open-source and enterprise tools have emerged recently which aim to solve the problem of “querying Hadoop”. Indeed, Hadoop started as a simple (yet powerful) Big Data framework consisting of (1) a storage layer (HDFS, inspired by GFS. And (2) a processing layer (an implementation of MapReduce). Only after a couple of years the first releases of HBase. How mature it is? Alrea...

datasalt.com

Blog | Datasalt

http://www.datasalt.com/blog

A scalable groupByKey and secondary sort for (Java) Spark. Written by Pere Ferrera Bertran. On December 9, 2015. Spark is, in our opinion, the new reference Big Data processing framework. Its flexible API allows for unified batch and stream processing, and can be easily extended for many purposes. It also incorporates a new API called Data Frames. Which will bring it to the next level. Covers some of them. SQL on Hadoop: A state of the art. Written by Pere Ferrera Bertran. On April 1, 2014. And (2) a pro...

datasalt.es

Blog de Datasalt - Una mirada tecnológica a las tendencias en Big DataDatasalt

http://www.datasalt.es/blog

Datasalt y el programa de Experto Big Data de la universidad U-Tad. Escrito por Iván de Prado Alonso. En marzo 17, 2015. Datasalt ha diseñado y está coordinando. El Programa de Experto Big Data. De la universidad U-Tad. El curso está impartido por profesionales del Big Data de Datasalt y de compañías punteras cuyo conocimiento ha sido adquirido enfrentándose a problemas Big Data reales. Leer más…. El estado actual del “SQL para Hadoop”. Escrito por Pere Ferrera Bertran. En abril 3, 2014. Flexibilidad: Lo...

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Splout SQL

Installing and running Splout. Loading an example dataset. Ready for the web. Splout allows serving an arbitrarily big dataset. With high QPS rates. And at the same time provides full SQL. Query syntax. Splout is appropriated for web page serving, many low latency lookups. Scenarios such as mobile or web applications with demanding performance. Plays well with Hadoop. For decoupling database creation. From database serving. The data is always optimally indexed. Splout is horizontally scalable.

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