Low cost way to evaluate Mapd


#1

I am looking to just play around with Mapd. The lowest cost aws option I saw was over $600 a month. Are there any other low cost options to test this? How does the cost of deploying this on Azure compare?


#2

@vacquah We have two cloud-based ways to evaluate MapD, or at least to try the full functionality. We can issue credits for AWS, or we have a time-bound GCP instance. Both are Enterprise edition on a single node. Let me know if either of those interest you.

If you’d like to evaluate MapD on a more powerful system, I can introduce you to someone from the sales team.


#3

Hello

My needs are much more simpler. The community edition should be enough for me. Looking to analyze energy usage data and determine if its good to have.


#4

So I setup an Ubuntu VM on Azure and installed MapD by following the “Ubuntu CE CPU Installation With Apt” guide.

Everything worked ok until I got to:

Connect to Immerse using a web browser connected to your host machine on port 9092. For example, http://mapd.mycompany.com:9092.

I tried the following : http://{the public ip of the vm}:9092.

Not working. Cant connect. What am I missing?


#5

Probably you have to enable your azure vm to accept connections on port 9092 from your host.

Check the mapd_webserver is listening on 9092 port with netstat command on Ubuntu


#6

Yes that was it. And also had to set the destination to “VirtualNetwork” of the inbound port rule. Now time to learn how to load data!


#7

If you have data in csv format, the fastest way to load it is using copy command from mapdql, but you have to create table before.

A fast way to create the table is to get a file with a sample of your data with headers in the first line and import with “import data” from immerse interface; this would create your table; then you can get the ddl syntax with mapdql with the \d [table name] command and eventually modify the datatypes and/or the encoding to save memory and space on disk.


#8

Now when I access the url for Immerse, I go right into it - right past the login screen. Seem like I am auto logged in? What happens if I share the dashaboard? I’d like to enforce the password.


#9

cool feature…isn’t it? :wink:

you can chage the behaviour looking at this post on community


#10

@vacquah i know it’s been a few months, but i’m curious to know if your experience setting up on Azure matches what we just published today?