17. What is Algebraix Data?
IoT – Semantic Web
Super
Powerful
1 Billion
Triples on 1
Node
Native
Mathematical
Engine
Triple store
RDF (Graph)
18. SPARQL Server™
W3C & OGC compliant
RDF / SPARQL Semantic Database
Natively built with proprietary Math
• Algebraix technology (and patents)
Runs on commodity hardware
• In the cloud (or on premise)
• Scales Up and Down
Significantly better benchmark performance
• over leading RDF databases
24. Runs on common
hardware
• Any Cloud or
• On Rremises
High Performance
& Capacity
• Needs no
indexes
• Works
particularly well
w/sparse data
Self-tuning
• Retains results
& intermediate
sets
• Supports point-
in-time queries
SPARQL Server™
25. Algebraix Solution Stack
Data Algebra
DatabaseNoSQL Relational
RDF Semantic
Applications
Meaning
Organization
Optimization
& Execution
Conceptual
Data Loaders Query Translators
• Modern abstract algebra
• Zermelo-Fraenkel set theory
• Mathematics-based
data management platform
• Universal data language
• Collection of I.P.
• SPARQL Server – RDF
• A2DB - Relational
• Search
• Analytics
• Business Intelligence
• Data Integration
Algebraix
Platform
26. How to try it out
• Sign up on their website
• Try out when notified (this July)
27.
28.
29. What is Google Big Query?
QaaS –
interactive
RESTful
web service
SQL-like
language
Queries
data stored
in Google
cloud
Wide
Column
Tables
Uses
OAuth for
access
control
Very Fast
750M
Rows in
<10 secs
30. Easy & Fast
•Text or Json
•Up to 100k inserts/sec (streaming)
Load it
•Supports core SQL query concepts
•SELECT, FROM, JOIN, WHERE, ORDER BY, GROUP BY
•Windowing functions (OVER / PARTITION)
•Common Aggregates (SUM, COUNT, MAX)
•Includes ‘analytic’ SQL
•STDDEV, VARIANCE, CORRELATION
•REGEXP_MATCH
Query it
•Query is $ 5 per TB processed
•Storage is around $30 TB per month
Pay (for) it
Mathematics-based data management platform
Kernel for any data model
High performance
High scalability
Self-tuning
Automatic data re-organization
Small footprint