Team: Felix Gessert, Florian Bücklers, Hannes Kuhlmann, Malte … · 2020-06-24 · 3,8s 4,4s...
Transcript of Team: Felix Gessert, Florian Bücklers, Hannes Kuhlmann, Malte … · 2020-06-24 · 3,8s 4,4s...
Team: Felix Gessert, Florian Bücklers, Hannes Kuhlmann, Malte Lauenroth, Michael Schaarschmidt
19. August 2014
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The Page Load Problem
Loading…
-1% Revenue
100 ms
-9% Visitors
400 ms500 ms
-20% Traffic
If speed can boost so many
Business KPIs
...what causes slow page load times?
State of the ArtTwo bottlenecks: latency und processing
High Latency
Processing Time
Solution: Global CachingFresh Data from Ubiquitous Web Caches
Low Latency
Less Processing
New Caching AlgorithmsSolve Consistency Problem
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New Caching AlgorithmsSolve Consistency Problem
1 0 11 0 0 10
F. Gessert, F. Bücklers, und N. Ritter, „ORESTES: a Scalable Database-as-a-Service Architecture for Low Latency“, in CloudDB 2014, 2014.
F. Gessert und F. Bücklers, „ORESTES: ein System für horizontal skalierbaren Zugriff auf Cloud-Datenbanken“, in Informatiktage 2013, 2013.
F. Gessert, S. Friedrich, W. Wingerath, M. Schaarschmidt, und N. Ritter, „Towards a Scalable and Unified REST API for Cloud Data Stores“, in 44. Jahrestagung der GI, Bd. 232, S. 723–734.
F. Gessert, M. Schaarschmidt, W. Wingerath, S. Friedrich, und N. Ritter, „The Cache Sketch: Revisiting Expiration-based Caching in the Age of Cloud Data Management“, in BTW 2015.
F. Gessert und F. Bücklers, Performanz- und Reaktivitätssteigerung von OODBMS vermittels der Web-Caching-Hierarchie. Bachelorarbeit, 2010.
F. Gessert und F. Bücklers, Kohärentes Web-Caching von Datenbankobjekten im Cloud Computing. Masterarbeit 2012.
W. Wingerath, S. Friedrich, und F. Gessert, „Who Watches the Watchmen? On the Lack of Validation in NoSQL Benchmarking“, in BTW 2015.
M. Schaarschmidt, F. Gessert, und N. Ritter, „Towards Automated PolyglotPersistence“, in BTW 2015.
S. Friedrich, W. Wingerath, F. Gessert, und N. Ritter, „NoSQL OLTP Benchmarking: A Survey“, in 44. Jahrestagung der Gesellschaft für Informatik, 2014, Bd. 232, S. 693–704.
F. Gessert, „Skalierbare NoSQL- und Cloud-Datenbanken in Forschung und Praxis“, BTW 2015
F. Gessert, N. Ritter „Scalable Data Management: NoSQL Data Stores in Research and Practice“, 32nd IEEE International Conference on Data Engineering, ICDE, 2016
W. Wingerath, F. Gessert, S. Friedrich, N. Ritter „Real-time stream processing for Big Data“, Big Data Analytics it - Information Technology, 2016
F. Gessert, W. Wingerath, S. Friedrich, N. Ritter “NoSQL Database Systems: A Survey and Decision Guidance”, Computer Science - Research and Development, 2016
F. Gessert, N. Ritter „Polyglot Persistence“, Datenbank Spektrum, 2016.
6 YearsResearch & Development
BaqendParse Kinvey
0.3 s2.6 s 3.9 s
Competitive AdvantageWhat impact does Baqend have in practice?
0,2s1,5s1,6s
2,7s3,8s
4,4s
California
BaqendAzureParse
FirebaseKinvey
Apiomat
Frankfurt
0,3s2,1s
1,8s2,6s
4,2s0,8s
Baqend
Tokyo
0,3s1,6s
1,9s3,2s
5,3s6,6s
Baqend
Sydney
0,3s6,3s
4,7s6,5s
10,0s9,3s
Baqend
0,2s1,5s1,6s
2,7s3,8s
4,4s
Competitive AdvantageWhat impact does Baqend have in practice?
California
Frankfurt
Tokyo
Sydney
0,3s2,1s
1,8s2,6s
4,2s0,8s
0,3s1,6s
1,9s3,2s
5,3s6,6s
0,3s6,3s
4,7s6,5s
10,0s9,3s
BaqendAzureParse
FirebaseKinvey
Apiomat
Baqend
Baqend
Baqend
Speedup with Baqend:
15.4x
T R Y T H I S
benchmark.baqend.com
Shop
SimultaneousUsers
< 1 secondPage Load
Time
7.8% Conversion
Rate
3%ServerUsage
How is this technology used
for development?
Baqend Cloud is a SaaS
Public-Cloud Market
Backend-as-a-Service
84.9% CAGR
2015
Market sizeBackend-as-a-Service
15.8% Compound Annual Growth Rate (CAGR)²
1 http://www.marketsandmarkets.com/PressReleases/baas.asp2 http://www.gartner.com/newsroom/id/3143718
2020
(Values in USD)
175.8B2
1.3B1
365.2B2
28.1B1
4 Computer Scientists+2 PhD Researchers+3 CS Students
1 BusinessEconomist
Baqend Team
Ziel mit InnoRampUpFor a web without loading times.
www.baqend.com@Baqendcom
>10xFaster Loads
Automatic Scaling
Faster Development