Showing posts with label architecture. Show all posts
Showing posts with label architecture. Show all posts

Tuesday, November 15, 2016

Teradata delivers unified big data architecture

Teradata delivers unified big data architecture


Teradata delivers unified big data architecture Analytical DBMS: Teradata, Teradata Aster. In-memory DBMS: Although not an in-memory DBMS, Teradata Intelligent Memory monitors queries and automatically moves the most-requested data to the fastest storage tiers available, with options including RAM, flash, SSD, and various speeds of conventional spinning discs. Stream-analysis option: None. Hadoop distribution: Resells and supports the Hortonworks Data Platform. Hardware/software systems: Teradata and Teradata Aster are integrated software/hardware systems. Hadoop is supported with two Teradata appliance offerings as well as standardized Dell configurations. Teradata entered the big-data era boasting the largest roster of petabyte-scale enterprise data warehouse (EDW) customers of any vendor. It took a couple of years for the company to accept that SQL could not satisfy all needs, but in 2011 it acquired Aster Data and in 2012 it partnered with Hortonworks to build out what it calls its Unified Data Architecture (UDA). The Teradata DBMS is at the heart of the UDA, supporting EDWs and marts for production BI and analytical needs. Options include SQL and various in-database analytic options including extensive support for SAS. The company has kept this DBMS at the forefront of performance with hybrid row and columnar compression and an Intelligent Memory feature for fast querying from RAM as well as SSDs, flash, or various speeds of spinning disks. Aster is the UDA data-discovery platform, a small, transient store for day-to-day exploration of structured and multi-structured (clickstream, social, or machine) data. Analysis options include SQL, SQL-MapReduce, and SQL-graph analysis. Hadoop is the option for high-scale, low-cost storage, and subsets of data from this store can be copied to Teradata Aster or drawn into Teradata using SQL-H, the companys SQL-on-Hadoop option. Hadoop boosters such as Cloudera would argue that cost and scale advantages will lead customers to do more of their analyses, including SQL, graph, and, of course, MapReduce, on Hadoop. Teradata is counting on its SQL-friendly ways -- and the foreign nature of Hadoop tools and languages for many practitioners -- to keep structured-data analyses in Teradata and variable-data analyses in Teradata Aster. The more popular, capable, and easy to use that Hadoop becomes, the less compelling a separate data-discovery platform will be. Regardless, theres no doubt that the core Teradata DBMS will continue to be a cornerstone of data management for lots of big and performance-driven companies.
Teradata delivers unified big data architecture

Analytical DBMS: Teradata, Teradata Aster.
In-memory DBMS: Although not an in-memory DBMS, Teradata Intelligent Memory monitors queries and automatically moves the most-requested data to the fastest storage tiers available, with options including RAM, flash, SSD, and various speeds of conventional spinning discs.
Stream-analysis option: None.
Hadoop distribution: Resells and supports the Hortonworks Data Platform.
Hardware/software systems: Teradata and Teradata Aster are integrated software/hardware systems. Hadoop is supported with two Teradata appliance offerings as well as standardized Dell configurations.
Teradata entered the big-data era boasting the largest roster of petabyte-scale enterprise data warehouse (EDW) customers of any vendor. It took a couple of years for the company to accept that SQL could not satisfy all needs, but in 2011 it acquired Aster Data and in 2012 it partnered with Hortonworks to build out what it calls its Unified Data Architecture (UDA).
The Teradata DBMS is at the heart of the UDA, supporting EDWs and marts for production BI and analytical needs. Options include SQL and various in-database analytic options including extensive support for SAS. The company has kept this DBMS at the forefront of performance with hybrid row and columnar compression and an Intelligent Memory feature for fast querying from RAM as well as SSDs, flash, or various speeds of spinning disks.
Aster is the UDA data-discovery platform, a small, transient store for day-to-day exploration of structured and multi-structured (clickstream, social, or machine) data. Analysis options include SQL, SQL-MapReduce, and SQL-graph analysis. Hadoop is the option for high-scale, low-cost storage, and subsets of data from this store can be copied to Teradata Aster or drawn into Teradata using SQL-H, the companys SQL-on-Hadoop option.
Hadoop boosters such as Cloudera would argue that cost and scale advantages will lead customers to do more of their analyses, including SQL, graph, and, of course, MapReduce, on Hadoop. Teradata is counting on its SQL-friendly ways -- and the foreign nature of Hadoop tools and languages for many practitioners -- to keep structured-data analyses in Teradata and variable-data analyses in Teradata Aster. The more popular, capable, and easy to use that Hadoop becomes, the less compelling a separate data-discovery platform will be. Regardless, theres no doubt that the core Teradata DBMS will continue to be a cornerstone of data management for lots of big and performance-driven companies.

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Sunday, November 6, 2016

HP HAVEn architecture taps Vertica

HP HAVEn architecture taps Vertica


HP HAVEn architecture taps Vertica Analytical DBMS: HP Vertica Analytics Platform Version 7 (Crane release). In-memory DBMS: Vertica is not an in-memory database, but with high RAM-to-disk ratios the company says it can ensure near-real-time query performance. Hadoop distribution: None. Stream-processing technology: None. Hardware/software systems: HP ConvergedSystem 300 for Vertica, plus a choice of reference architectures for Cloudera, Hortonworks, and MapR Hadoop distributions. HP calls its big-data-platform architecture HAVEn, an acronym for Hadoop, Autonomy, Vertica, Enterprise Security, and n applications. HP doesnt have its own Hadoop distribution, but it provides reference hardware configurations for leading Hadoop software distributors. Autonomys IDOL software addresses search and exploration of unstructured. Vertica is HPs massively parallel processing columnar analytical DBMS designed for speedy analysis of massive, structured data sets. Competing with the likes of IBM PureData for Analytics (Netezza) and Pivotal Greenplum, Vertica is intended to complement rather than replace legacy enterprise data warehouse environments such as Teradata. With the Vertica 7 release, HP added a FlexZone designed to let users explore data in large data sets before defining the database scheme and related analyses and reports. Release 7 is also integrated with Hadoop through Hives HCatalog metadata store, giving users a way to explore data on HDFS in a tabular view. HPs ArcSight Logger software for collecting and analyzing machine data and its Operational Analytics offerings give it more of an IT-centric spin on big-data analysis than most of its rivals. IBM, SAP, and Oracle, for example, are much deeper on data-integration, BI, and analytics software for business applications. If HP is your IT systems management and hardware vendor of choice, the HAVEn platform and its components complement Hadoop and investments in third-party data-management and analytics software.

HP HAVEn architecture taps Vertica

Analytical DBMS: HP Vertica Analytics Platform Version 7 (Crane release).
In-memory DBMS: Vertica is not an in-memory database, but with high RAM-to-disk ratios the company says it can ensure near-real-time query performance.
Hadoop distribution: None.
Stream-processing technology: None.
Hardware/software systems: HP ConvergedSystem 300 for Vertica, plus a choice of reference architectures for Cloudera, Hortonworks, and MapR Hadoop distributions.
HP calls its big-data-platform architecture HAVEn, an acronym for Hadoop, Autonomy, Vertica, Enterprise Security, and "n" applications. HP doesnt have its own Hadoop distribution, but it provides reference hardware configurations for leading Hadoop software distributors. Autonomys IDOL software addresses search and exploration of unstructured. Vertica is HPs massively parallel processing columnar analytical DBMS designed for speedy analysis of massive, structured data sets. Competing with the likes of IBM PureData for Analytics (Netezza) and Pivotal Greenplum, Vertica is intended to complement rather than replace legacy enterprise data warehouse environments such as Teradata.
With the Vertica 7 release, HP added a "FlexZone" designed to let users explore data in large data sets before defining the database scheme and related analyses and reports. Release 7 is also integrated with Hadoop through Hives HCatalog metadata store, giving users a way to explore data on HDFS in a tabular view.
HPs ArcSight Logger software for collecting and analyzing machine data and its Operational Analytics offerings give it more of an IT-centric spin on big-data analysis than most of its rivals. IBM, SAP, and Oracle, for example, are much deeper on data-integration, BI, and analytics software for business applications. If HP is your IT systems management and hardware vendor of choice, the HAVEn platform and its components complement Hadoop and investments in third-party data-management and analytics software.

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