Database Efficiency Internet IoT 
Scalegrid
MAY 13, 2020
Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?
All Things Distributed
JUNE 21, 2018
A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.
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All Things Distributed
JULY 14, 2015
In just three short years, Amazon DynamoDB has emerged as the backbone for many powerful Internet applications such as AdRoll , Druva , DeviceScape , and Battlecamp. I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. DynamoDB Cross-region Replication.
Enprowess
JANUARY 12, 2022
Internet of Things (IoT). Besides that, these apps do well in areas with a slow internet connection. So it is convenient for all to use irrespective of internet speed and it works offline using cached data. Internet of Things (IoT). How does IoT work? IoT tracking systems. AI-powered Chatbots.
ScaleOut Software
JANUARY 9, 2020
To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.
ScaleOut Software
JANUARY 9, 2020
To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.
ScaleOut Software
JANUARY 9, 2020
To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.
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