Grapholytic

PLEASE FILL OUT THE REGISTRATION FORM

{{registerError}}

REGISTRATION COMPLETE

Thank you for registering. You are now able to login with your e-mail adress. No password is needed.

If you don't close this window within 10 seconds, you will be redirected automaticly.

PLEASE LOGIN

{{loginError}}

IF YOU ARE INTERESTED IN ENTERPRISE SIZED GRAPHS, PLEASE > CONTACT OUR SUPPORT.

CONTACT

AMERICA

MIOsoft CORPORATION
switchboard@miosoft.com
+1 (608) 210-1193

EMEA

MIOsoft DEUTSCHLAND GMBH
info@miosoft.de
+49 (0) 40-6887461-10

APAC

MIOsoft BEIJING CO., LTD.
china@miosoft.com
+86 (10) 8587-5600
Thank you for contacting us. Your request will be processed and we will contact you as soon as possible.

You can close this window by clicking outside.

IMPRINT

ANGABEN GEMÄß §5 TMG:

MIOSOFT DEUTSCHLAND GMBH
GROSSER GRASBROOK 9
D-20457 HAMBURG
DEUTSCHLAND

EMAIL: INFO@MIOSOFT.DE
TELEFON: +49 (0) 40-6887461-10
TELEFAX: +49 (0) 40-6887461-99

GESCHÄFTSFÜHRER: DR. ING. ERNST SIEPMANN
REGISTERGERICHT: AMTSGERICHT HAMBURG
REGISTERNUMMER: HRB 128042
UMSATZSTEUER-IDENTIFIKATIONSNUMMER GEMÄß §27A UMSATZSTEUERGESETZ: DE 23 63 80 919

Graph. Introducing complex object structures into graphs.

Reliability. Proven Track Record in Enterprises - for over 10 years.

Analytics. Combines analytics with transactional processing - establishing trans-analytical Applications.

Parallelism. Contextual clustering for parallel distribution of graphs.

Huge. In Production with over 2,2 Petabytes.

IN A NUTSHELL:

grapholytic by MIOsoft is the leading approach to get the best results out of the combination of Graph DB and highly scalable object database architecture.

Characteristics: The only database with automatic based distribution of graphs to cluster nodes using advanced machine learning algorithms. No Limits for scalability. Binding Data to CPU power: enabling parallel processing and advanced performance for analytical processing. Combining In-Memory Computation and Low Cost storage for enterprise computation scenarios.



DETAILS