Quickly deploy a graph database on GKE via GCP Marketplace
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Quickly deploy a graph database on GKE via GCP Marketplace


SPEAKER: Today’s big
data applications tend to have a very
common data problem. While they all
have the tools they need to manage volumes
of information, they still lack the
ability to generate insight from that data. And with traditional databases,
this is pretty tricky. Legacy relational database
management systems are great at managing
lists of items, but cumbersome for defining
how they relate to each other. Eventually, they realize
that the relationships between data points matter
more than the individual points themselves. This is where Neo4j comes in. It’s a graph database,
meaning that relationships between items are a
first class citizen, allowing it to help you
generate valuable insights about your data while
also remaining flexible when expanding a data model or
conforming to changing business needs. Graph is a core technology
that powers hundreds of different use cases, from
real time recommendations to fraud detection to network
and IT operations, master data management, and more. On the technical
side, Neo4j fits along with any microservices
you may develop, can be used with Neo4j’s
Bloom visualization, or as a store for graph
QL-based applications, analytics services, or any other
app deployed in a Kubernetes easily. And here at Neo4j,
we love Kubernetes. We provide Docker containers,
allowing customers to run in a clustered setup
for query scalability. But we found that customers
quickly ran into problems when the containers proliferate. Thankfully, Kubernetes solves
the orchestration problem with less work for you. Kubernetes has many advantages
for improving operations, but it can be challenging
for new users to set up. This is why Neo4j leverage
is Google Kubernetes Engine. GKE is the best form of
managed Kubernetes that allows our customers to
focus on the business applications of their graph and
not be concerned with cluster provisioning and maintenance. And with GCP marketplace,
you can go from zero to a working clustered
graph database in less than five minutes. Simply choose the Neo4j
solution, fill in some data, and get moving. It’s a fast and easy way
for you to get started. GCP marketplace is
great, because it gets you kickstarted with a
working setup tailored to best practices quickly, while
still allowing power users access to the
underlying resources, so you can always customize
to your deployment needs. And it also lets users
track Neo4j deployments as a single unified app in
our Kubernetes cluster instead of just a bunch of
interrelated containers Google Kubernetes Engine
combined with GCP marketplace provide best in class
services for our Neo4j users it lets you get up
and running fast so you can focus on
your data and extracting the value from that,
rather than all of the work of setting up
and managing your database clusters. If you’d like to
know more, check out the links in the
description below and feel free to reach out with
any questions or comments you may have. Thanks for watching.

About Ralph Robinson

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