RedisDay London 2018

1. HIGHEST PERFORMANCE,
LINEAR SCALING
HIGH AVAILABILITY WITH INSTANT
FAILOVER
DURABILITY AT MEMORY SPEEDS
ACTIVE-ACTIVE GEO DISTRIBUTION
(CRDT-BASED)
BUILT-IN HIGH PERFORMANCE
SEARCH
MULTI-MODEL
FLEXIBLE DEPLOYMENT OPTIONS
(CLOUD, ON-PREM, HYBRID)
INTELLIGENT TIERED DATA ACCESS
(RAM & FLASH MEMORY)
FAST RELIABLE FLEXIBLE

2. available in
5.0 with Streams

3. ➔ ➔

4. Data
RedisGraph
connectedness
real-time

5. RedisGraph 1.0
General Available NOW

6. Roi Lipman
Senior Software Engineer
Redis Labs

7. Use Case: Real-Time Fraud Detection
Connected data within
a sea of data points
Finding patterns

8. Matrices: A different representation
1
1 1
1
3
2

9. Linear algebra: Traversal
1
1 1
1
1 1*

10. Why no one has taken this approach before?
Sparse
vs
Dense
Missing math
libraries

11. Cypher → Algebraic Expression
MATCH
(src)-[:follows]->(f)-[:follows]->(foaf)
WHERE src.age > 30
RETURN foaf
Age_Filter
×
Follower
×
Follower

12. Benchmark
10x-600x
better latency
40-50%
memory reduction

13. The future
GPU
Graph
Analytics
Distributed
Graph
Graph
Exploration
Cost-based
execution
plan

14. A conversation with Roi

15. Seeing is believing.

16. It’s not just us.

17. “ With the simplicity and scale that RedisGraph is able to
deliver with its multi-tenant architecture and the
compactness of the data storage, we’ve been able to
reduce our infrastructure footprint quite considerably.
Emre Sokullu
CEO AND FOUNDER, GROU.PS