DataStax Brings In-Memory To NoSQL - InformationWeek

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DataStax Brings In-Memory To NoSQL
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MonicaP771
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MonicaP771,
User Rank: Apprentice
3/2/2014 | 11:06:50 AM
Re: In-memory DBMS vs. in-memory feature
How fast do you need to go? In the "Impatience Economy" people want everything right now. To create the richest, most personalized and monetizable experience, Apps want to understand context - what's going on right now. With a faster database, Apps can process more data, make better decisions and deliver what the user wants. 

Low latency translates into richer customer experiences, higher throughput with fewer servers and price/performance numbers that enable Apps that could not be imagined and business models that were not possible before. 

This applies to 2 node clusters at e-commerce sites SnapDeal as well as enterprise digital marketing hubs like [X+1] that manage billions of records, each with 5,000 -10,000 attributes and respond with 10 recommendations within 50 milliseconds.
anon7628224144
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anon7628224144,
User Rank: Apprentice
2/27/2014 | 5:12:00 PM
Scale comparison between Aerospike and Cassandra

Hi Doug,

 

There seems to be an inaccuracy in the article comparing scale between Aerospike and Cassandra. Scale comes in many ways. One is scaling to handle higher data sizes - DataStax/Cassandra may handle higher DATA VOLUMES that I am not aware of but that would not apply to the in-memory version, definitely. However, if scale is about transaction THROUGHPUT at LOW LATENCY, Aerospike is far and away the market leader.

 

What could be higher scale than real-time platforms like AppNexus, BlueKai -  the third largest DMP that Oracle just acquired -  eXelate, The Trade Desk, Chango and others that are managing terabytes of data at over 1 Million TPS at steady state (>30% writes), with predictable response times 99% in 3-5ms? All these are Aerospike customers.

 

Also, In-Memory has existed in NoSQL for a long time. Aerospike (previously named Citrusleaf) has been in continuous production since early 2010 on various in-memory configurations (in addition to flash/ssd based configurations). I am sure other NoSQL products  have had in-memory also for much longer, like Redis, for example.

 

Srini V. Srinivasan

Founder, VP Engineering and Operations

Aerospike

D. Henschen
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D. Henschen,
User Rank: Author
2/27/2014 | 1:12:26 PM
In-memory DBMS vs. in-memory feature
Gotta say, there's a difference between an in-memory database that operates all in memory (SAP Hana, Oracle TimesTen, Aerospike, MemSQL, VoltDB) and a conventional database with added in-memory processing options (DataStax new feature, Microsoft's coming (Hekaton/In-Memory OLTP) feature, and Oracle's announced but far-from-release In-Memory Option for Oracle 12c. With everything, including indexes, you can obviously run faster, but the question for customers is how fast do you need to go? RAM is more expensive than disk, and the point of these added features and options is that you don't have to rip and replace the old database.


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