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I have a lot of logged data stored into a database by a data logger. Basically i have a lot of rows with a timestamp and some values. I want to store this data into a db that has performance and can scale on a multi node structure to support fault tolerance behaviour (and balance requests). Typically i use MySQL but i find its scalability not simple for this type of application. This time, i want offer other db scenarios.
So: Mongo, Redis, Couchdb?
Thanks all.
This is a hard question to answer and not something we can really give answers to on SO.
Redis is quick for getting the data in, but you can not query on the values of the keys so searching would be harder.
MongoDB & CouchDB would both work well as they are document stores and can be used to store any format for the logs.
There are other options. I know Cassandra is used a lot for this task, but there is also ElasticSearch as in (ElasticSearch, Log Stash, Kibana) which is a great solution for central logging.
In the end it probably down to what you want to do with the data.
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Realm Database or MySQL or MongoDB or the standard Firebase.
I am curious why would anyone choose one over another. I am in a group project and one of the members in the group suggested that we should use Realm Database over Firebase. He tried to explain to me the reason but I was not able to comprehend.
What has your experience been like? Is one database more user-friendly over another?
Firebase seems to have very nice documentation.
Which one would you guys suggest?
Those are three different things.
Realm is a database for storing content locally on a device.
MySQL is usually used together with a web server. If you have a server and need to store data, you can use MySQL.
Firebase is Google's alternative for building your own server. It gives you tools that allow you to avoid having to build your own web server, such as Firestore, which lets you do CRUD operations directly from devices without needing to send that information through a server first.
If you works on small project you must going with MYSQL database. Its very simple and easy to understand. But if your project are big like that organisation type projects I recommend you to going with MongoDB.
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Is there a document or refference we can look at to dimension how many databases would be the recommended maximum based on the Tier type
e.g.:
db-n1-standard-1
1vCPU, 3.75 GB
or
db-n1-standard-2
2vCPU, 7.5 GB
Number of databases is not a good indicator for choosing your tier.
You can have an instance with a 100 databases with little activity on a small instance, a single large database that needs a lot of memory and so forth.
You need to take into consideration how big you expect each database to be, how much data you expect to be kept in the cache, how many read/write queries you expect to be handling and so on.
The usual recommendation is to run load tests using your expected workloads and determine the machine requirements based on that.
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I know that this is not good question but i am asking please help me any suggestion or solution .Is it possible to see the tables,
structure and data like phpmyadmin or parse.com provide the GUI.
I install the mongodb in my Ubuntu OS but i fetch the data through queries. Is it possible to use a tool like GUI based application so that i can see the data,table structure and other information.
i am new in mongodb if there is any solution to setup the gui based application that can interact with mongodb like MySQL and phpmyadmin
please provide the relevant information.
thanks
You can't beat RoboMongo. It's free, reliable and intuitive. Exactly what you want.
MongoDB Compass is a GUI for MongoDB.
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We've fed up with instability and unpredictability of ELK stack but still in love with the Kibana dashboards.
Hence I'm looking for some potential migration paths. MongoDB looks very promising: huge track record, lots of docs, ability to cope with json easily etc.
Is there some equivalent to Kibana working on top of MongoDB? Some web app which lets you easily run search queries over indexed data, make them into dashboards, add nice maps and diagrams etc.
I've looked into https://docs.mongodb.org/ecosystem/tools/administration-interfaces/ but this seems to be more about managing MongoDB itself rather than playing with data in it.
you could have a look at mongodb-compass click here
if you would want more, the new mongodb 3.2 has features to connect to any BI tool, like talend. Read more here
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I am looking for something similar to MySQL Proxy. The purpose is to modify incoming queries on the server. I am not looking for alternative ways to achieve the same. My best guess at the moment is to modify GridSQL, but this adds complexity and it takes time. I have asked this question before in a vastly different way and got no relevant results, so I deleted that question and added this one.
Edit: It is important that the client can continue to utilize the PostgreSQL protocol, so the package I am looking for needs to communicate using it.
You might take a look at sqlrelay which has the ability to route and filter queries.
http://sqlrelay.sourceforge.net/sqlrelay/router.html
If you want to rewrite the queries I think sqlrelay falls short.
You might otherwise look into PostgreSQL's rules, which can be used to substitute or rewrite queries:
http://www.postgresql.org/docs/8.4/interactive/rules.html
You can refer to the following postgresql-aync driver project.
https://github.com/mauricio/postgresql-async