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Displaying posts with tag: NoSQL (reset)

MongoDB Multi-Statement Transactions? Yes We Can!
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Earlier, I talked about the transactional semantics we are introducing to MongoDB. As I hinted at the end of the post, we are actually doing more. We are introducing multi-statement transactions. That’s right, multiple queries, updates, deletes, and inserts will be able to run inside of a single transaction. We are working on the details of the semantics as we develop our beta, but at a high level, think of it as having the same semantics as TokuDB and InnoDB’s multi-statement transactions in MySQL.

So how will it …

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MongoDB Transactions? Yes
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People claim that MongoDB is not transactional. It actually is, and that’s a good thing.

In MongoDB 2.2, individual operations are Atomic. By having per database locks control reads and writes to collections, write operations on collections are Consistent and Isolated. With journaling on, operations may be made Durable. Put these properties together, and you have basic ACID properties for transactions.

The shortcoming with MongoDB’s …

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See You at Percona Live 2013!
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Percona Live 2013 is coming up fast.  This is hands-down the best MySQL conference of the year, attended by a lot of people I really respect.  Check the speaker list if you need some of their names.  I will also be doing two talks myself.


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They say: "Relational Databases Aren't Dead"
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This is a good read, claiming: "Relational Databases Aren't Dead. Heck, They're Not Even Sleeping", http://readwrite.com/2013/03/26/relational-databases-far-from-dead. A key quote:
"While not comprehensive, the uses for NoSQL databases center around the acquisition of fast-growing data or data that does not easily fit within uniform structures."
There were 2 parts in the statement about NoSQL's uses. I'll start with the latter:


"data that does not easily fit within uniform …




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Wanted: Evaluators to Try MongoDB with Fractal Tree Indexing
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We recently resumed our discussion around bringing Fractal Tree indexes to MongoDB.  This effort includes Tokutek’s interview with Jeff Kelly at Strata as well as my two recent tech blogs which describe the compression achieved on a generic MongoDB data set and …

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The Last Mile for Big Data – Strata Overview with Jeff Kelly of Wikibon (Part 2)
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During the second half of our CUBE discussion with Wikibon analyst Jeff Kelly at this year’s Strata Conference in Santa Clara, we talked about the tipping point for Big Data. Strata veterans could see at a glance that this year’s conference was markedly different. No longer the exclusive domain of geeks and database administrators, this year’s Strata featured some of the biggest enterprise vendors around. With heavy weight enterprise players Intel and EMC Greenplum announcing their own …

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MySQL and MongoDB – Strata Discussion with Jeff Kelly of Wikibon (Part 1)
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We had the opportunity to do a CUBE interview with Wikibon analyst Jeff Kelly at last week’s Strata Conference in Santa Clara. In the first part of our conversation, we discuss how our success in integrating Tokutek’s Fractal Tree® technology into MySQL has led us to another popular database, MongoDB. We explain the results of our recent benchmarking tests with MongoDB, which indicate that adding indexing can also …

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MongoDB + Fractal Tree Indexes = High Compression
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One doesn’t have to look far to see that there is strong interest in MongoDB compression. MongoDB has an open ticket from 2009 titled “Option to Store Data Compressed” with Fix Version/s planned but not scheduled. The ticket has a lot of comments, mostly from MongoDB users explaining their use-cases for the feature. For example, Khalid Salomão notes that “Compression would be very good to …

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NoSQL is Great, But You Still Need Indexes
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I’ve said it before, and, as is the nature of these things, I’ll almost certainly say it again: your database performance is only as good as your indexes.

That’s the grand thesis, so what does that mean? In any DB system — SQL, NoSQL, NewSQL, PostSQL, … — data gets ingested and organized. And the system answers queries. The pain point for most users is around the speed to answer queries. And the query speed (both latency and throughput, to be exact) depend on how the data is organized. In short: Good Indexes, Fast Queries; Poor …

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The Data Day, Two days: February 11/12 2013
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ClearStory sheds light on data analysis service. Illuminating ‘dark data’. More.

For 451 clients: ClearStory bags $9m in series A funding, sheds light on its data analysis service bit.ly/Y6v8sV By Krishna Roy

— Matt Aslett (@maslett) February 12, 2013

For 451 clients: Global IDs makes ‘big data’ MDM play via cloud and Hadoop, touts profitable growth bit.ly/Y6v6kL By Krishna Roy

— Matt Aslett (@maslett) …

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10 Newer Entries Showing entries 61 to 70 of 341 10 Older Entries

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