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GridGain
Systems is revolutionizing real-time data access and processing by offering
enterprise-grade in-memory computing solutions built on Apache® Ignite™.
GridGain solutions are used by global enterprises in financial, software,
ecommerce, retail, online business services, healthcare, telecom and other major
sectors. GridGain solutions connect data stores (SQL, NoSQL, and Apache™
Hadoop®) with cloud-scale applications and enable massive data throughput
and ultra-low latencies across a scalable, distributed cluster of commodity
servers. GridGain is the most comprehensive, enterprise-grade in-memory
computing platform for high volume ACID transactions, real-time analytics, and
hybrid transactional/analytical processing. For more information, visit
gridgain.com |
See also:-
GridGain's blog,
GridGain
- mentions on StorageSearch.com |
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Editor's comments:- whilst not being an SSD
company GridGain is an interesting company in the
SSD software ecosystem
because its products and customer deployments are in the big memory systems
architecture space which is one of the bubbling islands in the enterprise and
cloud memory systems
ocean.
New companies like GridGain have been helping the data
processing market adapt to new thinking about memory system fabrics which are
unconstrained by traditional phsyical limits of memory size and shared data
latency.
See also:-
RAM SSDs,
the way ahead
for memory systems |
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| Introducing a new market
for software which is strongly typed to new physical memory platforms and
nvm-inside processors while unbound from the tyranny of memory virtualizable by
storage. |
| Memory Defined
Software | | |
. |
| "Previous concerns
about RAM being able to store only a limited amount of data are becoming a
non-issue. Recently, Amazon introduced their X1 Instance, which lets customers
rent computing instances with 2 terabytes of RAM for just $13.34 per hour. At
such pricing levels, the economics of renting large clusters containing
virtually any amount of RAM are well within reach." |
| Abe Kleinfeld,
President & CEO at GridGain
Systems in his blog -
In-Memory
Computing Will Dramatically Change Our Lives (July 14, 2016) | | |
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"In its earliest implementations GridGain's products could be regarded
as a memory resident relational database. But by 2018 GridGain's solutions had
expanded their ambitions and reach and could support multi node memory, cluster
snapshot, ACID transaction support, backup and persistence."introducing
Memory Defined Software |
| .... |
| Unlike memory companies
(for whom high double digit YoY revenue growth in 2017 was a serendipitous
outcome from a broken pact with industry roadmaps) the noteworthy thing about
GridGain is that unlike many other storage software companies it does have real
customers and a long track record of pioneering a computing context which was
once considered esoteric (like SSDs 20 years ago) but which real soon will be
the mainstream. |
| 84% sales growth for
GridGain - (January 2018) | | |
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SSD history
top SSD companies
popular SSD articles
on StorageSearch.com
is remanence in
persistent memory a new security risk?
where are we
heading with memory intensive systems?
miscellaneous
consequences of the 2017 memory shortages |
| .. |
| The memoryfication market –
with tiered enterprise memory – now has so many competitors and so many
form factors that no one can be guaranteed to get a sizable chunk of it with any
single product. It's really a fragmented market in which there are many ways to
get similar results using entirely different mixes of technology at the server,
box and infrastructure levels. |
| in memoriam Diablo
- (December 2017) | | |
.. |
| How do
banks use big memory systems to detect and prevent fraud? |
Editor:- January 9, 2017 - In the early 2000s I
started hearing stories from vendors of
ultrafast SSDs
about how their fast memory systems were helping banks to not only ease the
choke points in their transactions but also provide insights into fraud
prevention.
A new white paper GridGain Systems
provides a good introduction and synthesis of
the
various roles of in-memory computing in accelerating financial fraud detection
and prevention (pdf) which includes many named bank examples.
This paper describes how in memory computing provides the low latency data
sharing backbone which is needed to enable pattern detection for fradulent
activity to be assessed in real-time while at the same time enabling genuine
transactions to proceed quicky.
Among other things, the paper says...
"The
move from disk to memory is a key factor in improving performance. However,
simply moving to memory is not sufficient to guarantee the extremely high memory
processing speeds needed at the enterprise level... Clients who have implemented
the GridGain In-Memory Data Fabric to detect and prevent fraud in their
transactions have found that they can process those transactions about 1,000
times faster." ...read
the article (pdf)
See also:-
SSD Security | | |
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