Tag: ACID

Feed: Planet MySQL; Author: Saroj Tripathy; MySQL Cluster: MySQL Cluster is a real time, ACID-compliant transactional database. It is a combination of MySQL server and the NDB storage engine. Data is cached in memory and durably stored on disk. Indexed columns are always kept in memory while non-indexed columns can be kept in memory or disk. It was mainly designed for telecom databases with 99.999% availability and high performance. Unlike simpler sharded systems, MySQL Cluster transactions can transparently query and update all data in the system. Key features of MySQL Cluster:MySQL Cluster is designed using a shared nothing architectureSupport for large database sizesWith ... Read More

Feed: Neo4j Graph Database Platform. Author: David Penick. “The question isn’t whether graph databases would become mainstream or not, but rather, why have they not been mainstream until now?” said Calum Chalmers, Senior Data Scientist with Capgemini’s Insights and Data Practice in the UK. In this week’s five-minute interview, Julia Astashkina, Partner Marketing Lead for Solution Partners at Neo4j, speaks with Calum Chalmers, Senior Data Scientist at Capgemini about his views on the future of graph technology and about Capgemini’s UK Graph Guild. Tell us a little more about Capgemini’s UK Graph Guild.Calum Chalmers: In the UK, I lead the ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Vikas D. Nambiar. By Vikas D. Nambiar, Sr. Partner Solutions Architect at AWSBy Charudath Doddanakatte, Director, Digital Customer Experience at CapgeminiBy Arockia Raj D, Sr. Consultant, Digital Customer Experience at CapgeminiBy Braham Pal Singh, Sr. Consultant, Digital Customer Experience at Capgemini Pandemic is defined by the dictionary as “(of a disease) prevalent throughout an entire country, continent, or the whole world; epidemic over a large area.” Much of 2020 saw one of the worst global pandemics we have faced. The medical situation this raises with respect to testing, validating, and tracking patient health ... Read More

Feed: AWS Big Data Blog. 2020 has reminded us of the need to be agile in the face of constant and sudden change. Every customer I’ve spoken to this year has had to do things differently because of the pandemic. Some are focusing on driving greater efficiency in their operations and others are experiencing a massive amount of growth. Across the board, I see organizations looking to use their data to make better decisions quickly as changes occur. Such agility requires that they integrate terabytes to petabytes and sometimes exabytes of data that were previously siloed in order to get ... Read More

Feed: Recent Announcements. AWS Lake Formation transactions, row-level security, and acceleration are now available for preview. These capabilities are available via new, open, and public update and access APIs for data lakes. These APIs extend AWS Lake Formation’s governance capabilities with row-level security. In addition, with this preview, we introduce governed tables - a new Amazon S3 table type that supports atomic, consistent, isolated, and durable (ACID) transactions. AWS Lake Formation transactions simplify ETL script and workflow development, and allow multiple users to concurrently and reliably insert, delete, and modify rows across multiple governed tables. AWS Lake Formation automatically compacts ... Read More

Feed: Planet PostgreSQL. After having discussed isolation problems and having made a digression regarding the low-level data structure, last time we explored row versions and observed how different operations changed tuple header fields.Now we will look at how consistent data snapshots are obtained from tuples.What is a data snapshot?Data pages can physically contain several versions of the same row. But each transaction must see only one (or none) version of each row, so that all of them make up a consistent picture of the data (in the sense of ACID) as of a certain point in time.Isolation in PosgreSQL is ... Read More

Feed: Planet PostgreSQL. Big data has an unfortunate tendency to get messy. A few years in, a growing database that use to be small, lean, and well-designed, has better odds than not of becoming something large, bloated, and with best practices tossed aside and now considered unsalvageable.There’s a few common reasons that this happens, some better than others: Technological limitation: The underlying tech doesn’t support the scale. Say transactions or referential integrity across partitions in a sharded system. Stability: Certain operations come to be considered too risky. e.g. Batch update operations that have unpredictable performance properties. Cost/effort: Doing things the ... Read More

Feed: Matillion. Author: Julie Polito; Database technology has changed and evolved over the years. Relational, NoSQL, hierarchical…it can start to get confusing. Storing data doesn’t have to be a headache. If you’re trying to pick the right database for your organization, here’s a guide to the properties and uses of each type.What are the types of databases?1. Relational databases Relational databases have been around since the 1970s. The name comes from the way that data is stored in multiple, related tables. Within the tables, data is stored in rows and columns. The relational database management system (RDBMS) is the program that ... Read More

Feed: AWS Architecture Blog. This post was co-written with Brian Nutt, Senior Software Engineer and Kao Makino, Principal Performance Engineer, both at Snowflake. Transactional databases are a key component of any production system. Maintaining data integrity while rows are read and written at a massive scale is a major technical challenge for these types of databases. To ensure their stability, it’s necessary to test many different scenarios and configurations. Simulating as many of these as possible allows engineers to quickly catch defects and build resilience. But the Holy Grail is to accomplish this at scale and within a timeframe that ... Read More

Feed: Recent Announcements. Amazon DocumentDB continues to increase compatibility with MongoDB and today added support for MongoDB 4.0 compatibility including ACID transactions. With support for MongoDB 4.0 compatibility, you can now migrate MongoDB 4.0 workloads to Amazon DocumentDB and use the same applications, drivers, and tools you already use today with your MongoDB 4.0 database with little or no change. The following are some of the major features and capabilities that were introduced in Amazon DocumentDB 4.0: ACID Transactions – Amazon DocumentDB now supports the ability to perform transactions across multiple documents, statements, collections, and databases. Transactions simplify application development ... Read More