On SingleStore Kai for MongoDB . Q&A with Jason Thorsness.
ODBMS.org | MongoDB
by Roberto Zicari
11M ago
Q1. MongoDB is one of the most popular, widely adopted databases. What are the pros and cons of using MongoDB? MongoDB has grown to be one of the most widely-adopted NoSQL databases for JSON-like documents across many industries. MongoDB’s document model and API align closely with how many applications produce and consume data, and its developer experience and broad ecosystem of supporting libraries and integrations make it a natural choice for many use cases. However, MongoDB’s underlying architecture is not optimized for in-app analytics or any query involving large numbers of documents in c ..read more
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On Amazon DocumentDB Global Clusters. Q&A With Meet Bhagdev
ODBMS.org | MongoDB
by Roberto Zicari
1y ago
Q1. What is Amazon DocumentDB (with MongoDB compatibility)?  Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that is purpose-built to store and query JSON. Amazon DocumentDB is engineered with scalable workloads in mind, and allows compute and storage to scale independently. You can easily scale read capacity to millions of requests per second by adding up to 15 low latency read replicas across three Availability Zones (AZs) in minutes, regardless of data size. Amazon DocumentDB scales to 64TiB automati ..read more
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Percona Expands Services Offerings with PostgreSQL Support
ODBMS.org | MongoDB
by Roberto Zicari
1y ago
Addition of PostgreSQL Creates First Support Organization to Offer Enterprise-Class Services for MySQL, MongoDB, MariaDB and PostgreSQL Open Source Databases   Percona, the company that delivers enterprise-class MySQL®, MariaDB®, MongoDB®, and other open source database solutions and services, announced it is extending its world renowned open source database support expertise to PostgreSQL. As a result, organizations can, for the first time, work with a single, trusted vendor to meet their support needs for MySQL, MongoDB, MariaDB, PostgreSQL, or any hybrid combination ..read more
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On Data and Transportation. Q&A with Carlo Ratti
ODBMS.org | MongoDB
by Roberto Zicari
1y ago
Q1. Are you involved in initiatives (Private, Public) in the area of Transportation where (Big) Data is used? or Can you refer us to initiatives in the area of Transportation that you are aware of, where (Big) Data is used? Let me answer both questions together. Big Data means a better knowledge of the urban environment. In relation to mobility, let me share an example: At MIT Senseable City Lab, we analyzed all taxi trips that connect the City of New York in a given year. The project-called HubCab– gathered 170 million taxi trips by over 13,000 Medallion taxis in New York City ..read more
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When Should I Enable MongoDB Sharding?
ODBMS.org | MongoDB
by Roberto Zicari
1y ago
BY Adamo Tonete   | October 16, 2017 | In this blog post, we will talk about MongoDB sharding and walk through the main reasons why you should start a cluster (independent of the approach you have chosen). Note: I will cover this subject in my webinar How To Scale with MongoDB on Wednesday, October 18, 2017, at 11:00 am PDT / 2:00 pm EDT (UTC-7). Sharding is the most complex architecture you can deploy using MongoDB, and there are two main approaches as to when to shard or not. The first is to configure the cluster as soon as possible – when you predict high thro ..read more
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This Week in Data with Colin Charles 10: MariaDB and Upcoming Appearances
ODBMS.org | MongoDB
by Roberto Zicari
1y ago
BY Colin Charles   | October 13, 2017 | Join Percona Chief Evangelist Colin Charles as he covers happenings, gives pointers and provides musings on the open source database community. Beyond spending time getting ready for Velocity and Open Source Summit Europe this week, there was some feature testing this week that compared MySQL and MariaDB. Naturally, a long report/blog is coming soon. Stay tuned. Releases I reckon a lot of folks are swamped after Percona Live Europe Dublin and Oracle OpenWorld, so the releases in the MySQL universe are a bit quieter. Percona Mon ..read more
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MySQL vs MongoDB Choosing right technology for your application
ODBMS.org | MongoDB
by Roberto Zicari
1y ago
Peter Zaitsev, CEO Percona,  presented at SCALE 15x on March 3, 2017. Download Slides ..read more
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NoSQL by the numbers
ODBMS.org | MongoDB
by Roberto Zicari
1y ago
NoSQL by the numbers BY Matt Aslett, research director, 451 Research Since the third quarter of 2012, 451 Research has been tracking the mentions of NoSQL databases in LinkedIn profiles. It is a fairly crude but nonetheless interesting measure of the relative popularity of the various NoSQL databases. There has been a clear leader throughout this period, with MongoDB growing from 43% of all mentions of NoSQL technologies in LinkedIn profiles in Q3 2012 to more than 50% in Q2 2015. To be clear: MongoDB is mentioned in more LinkedIn profiles than all of the other NoSQL databases put together. If ..read more
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TOKUMX V2.0
ODBMS.org | MongoDB
by Roberto Zicari
1y ago
TOKUMX V2.0 Posted On September 30, 2014 | By Tim Callaghan TokuMX v2.0: the latest version of Tokutek’s high-performance MongoDB distribution. Highlights of this new release are as follows: Fast updates that can boost the speed of updates to unindexed fields by more than 10x. Ark elections making replication trustworthy and more ops-friendly. Smaller oplog entries made possible with a brand-new rollback algorithm. Geospatial indexes with haystack, 2d, and 2dsphere indexes and queries in MongoDB. Partitioned sharding for specific configurations. Our Enterprise E ..read more
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On Amazon DocumentDB Global Clusters. Q&A With Meet Bhagdev
ODBMS.org | MongoDB
by Roberto Zicari
2y ago
Q1. What is Amazon DocumentDB (with MongoDB compatibility)?  Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that is purpose-built to store and query JSON. Amazon DocumentDB is engineered with scalable workloads in mind, and allows compute and storage to scale independently. You can easily scale read capacity to millions of requests per second by adding up to 15 low latency read replicas across three Availability Zones (AZs) in minutes, regardless of data size. Amazon DocumentDB scales to 64TiB automati ..read more
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