quasardb is the ultimate data backend! Learn more at http://www.quasardb.net/

1. Right to data
March 2016
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2. OUR MISSION:
GIVE INSTANT ACCESS
TO THE RELEVANT DATA
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3. The idea
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RDBMS
In-memory
Applications
Data
NoSQL

4. The “direct to data” quasardb technology
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Fast and frugal
ACID transactions
Scale-out / Scale-up
Automatic replication
Batch processing
Streaming
Unlimited tagging
Multi-platform
Spark integration
And so much more!

5. 5
How it works?

6. In real life
Even for large entries
Even under pressure
We chose the impossible
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Reliable
Fast
Scalable
Multi-processor friendly
Multi-nodes friendly
No software limit
Fail gracefully
No “small print”

7. Don’t search, tag!
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• Indexing the whole content is slow
• Document oriented approach does not scale
• Relations don’t scale
Our solution: tagging
• Scalable
• Inexpensive
• Simple
• Flexible

8. Scalable thanks to the Chord Algorithm
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100
150
200
12 1
• Consistent hashing distribution
• Fully symmetric: no master node
• Each node only knows about its neighbors
• Lookup: O (log n) complexity
Crawl the ring in O (log n) to find SHA-3 (key) successor
Data
Key SHA-3 21
28
1
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9. What reliable means
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Persistence Distribution Networking Memory
Synchronous
Consistent
 Replication
 Hot plug’n’play
 Timeout
 Retries
 Safe
marshaling
 Greedy
 Overcome
low-memory
conditions

10. Symmetric, Asynchronous, Atomic and Lock-Free
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Unlimited parallel read access
Highly optimized
memory
management
Elastic
and transparent
Continuous
self-
optimization
BA No global
lock

11. Optimized Memory Usage : Zero Copy
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AFinal result
MarshallingA
BufferingA
A
Unmarshalling A
Network copy
Network transmissionA
A
Original
A
A

12. 12
To sum up

13. Benefits
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Easy installation and set-up
• Simple user interface
• Data agnostic
• Hot plug’n’play
Scalability
• Theoretical infinite scalability thanks to a P2P design
• Automatic sharding on membership changes
• Schemaless design
Protect your investment
• Complete your ecosystem but does not replace it
• Works on all infrastructure types
• Interfaces with all market’s standards

14. Benefits cont…
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Reliability
• Masterless design ensures fault tolerance system
• No single point of failure
• No errors even under heavy loads
• Data replication provides high availability
Frugality
• Run on supercomputer and on limited resources
connected objects as well
• Benchmarks have shown a 40% reduction of
computer resources
• Consumes only required computer resources

15. Compatibilities
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OS
API

16. Roadmap
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Quasardb 2.5 – Q2 2016
• Time series
• Speed optimizations
• More APIs
• Excel plugin
Quasardb 3.0 – Later in 2016
• Fine grained access control
• Secure connection
• Server-side processing
• Advanced tag queries

17. 17
What our customers do with quasardb

18. Mail sorting systems
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A couple of milliseconds to perform
hundreds of queries.
Speed and accuracy of quasardb
delivers.

19. Document archival
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Customer dissatisfied with elastic
search.
Speed, reliability and complexity
issues.
With quasardb: no more pains
points and double the
performance!

20. Historical financial data
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Load the terabytes of data you
need in a couple of minutes in a
big memory machine.
And then… Sub-second
computations.
This is how you should do Big
Data.

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How fast is fast?

22. Cisco UCS Benchmark
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0
10
20
30
40
50
60
0
100000
200000
300000
400000
500000
600000
700000
800000
900000
1 node 2 nodes 4 nodes 7 nodes
Gigabit/s
Transactionspersecond
Bandwidth Tps

23. References and partners
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24. www.quasardb.net
Thank you!
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