21–30 of 58 posts
We're getting good results from http://traildb.io/ and we don't have to grant Facebook a worldwide, royalty-free license to our patent pool in order to use it.
https://github.com/facebookincubator/beringei#license says "We also provide an additional patent grant."
None of this sounds to me like you have to grant Facebook any patents to use Beringei.
What would HN suggest to store about 1GB of data per day, mostly for archiving and offline analysis, with less than 10 columns including timestamp? We're currently writing everything to our postgres DB and flushing the table to S3 every few days but it's killing the app performance under high loads. I'm looking for something that is easy to set up and keep running with low to no maintenance.
We're getting good results from http://traildb.io/ and we don't have to grant Facebook a worldwide, royalty-free license to our patent pool in order to use it.
https://github.com/facebookincubator/beringei/blob/master/LI... doesn't even mention patents. https://github.com/facebookincubator/beringei#license says "We also provide an additional patent grant." None of this sounds to me like you have to grant Facebook any patents to use Beringei.
We're getting good results from http://traildb.io/ and we don't have to grant Facebook a worldwide, royalty-free license to our patent pool in order to use it.
https://github.com/facebookincubator/beringei/blob/master/LI... doesn't even mention patents. https://github.com/facebookincubator/beringei#license says "We also provide an additional patent grant." None of this sounds to me like you have to grant Facebook any patents to use Beringei.
What would HN suggest to store about 1GB of data per day, mostly for archiving and offline analysis, with less than 10 columns including timestamp? We're currently writing everything to our postgres DB and flushing the table to S3 every few days but it's killing the app performance under high loads. I'm looking for something that is easy to set up and keep running with low to no maintenance.
We're getting good results from http://traildb.io/ and we don't have to grant Facebook a worldwide, royalty-free license to our patent pool in order to use it.
We're getting good results from http://traildb.io/ and we don't have to grant Facebook a worldwide, royalty-free license to our patent pool in order to use it.
I don't think TrailDB is comparable to Beringei. TrailDB is built for behavioral analytics queries while Beringei is developed for time-series aggregated metrics.
That's exactly what we're using TrailDB for. Works great.
What would HN suggest to store about 1GB of data per day, mostly for archiving and offline analysis, with less than 10 columns including timestamp? We're currently writing everything to our postgres DB and flushing the table to S3 every few days but it's killing the app performance under high loads. I'm looking for something that is easy to set up and keep running with low to no maintenance.
CSV Same way most web servers log traffic.
What would HN suggest to store about 1GB of data per day, mostly for archiving and offline analysis, with less than 10 columns including timestamp? We're currently writing everything to our postgres DB and flushing the table to S3 every few days but it's killing the app performance under high loads. I'm looking for something that is easy to set up and keep running with low to no maintenance.
What would HN suggest to store about 1GB of data per day, mostly for archiving and offline analysis, with less than 10 columns including timestamp? We're currently writing everything to our postgres DB and flushing the table to S3 every few days but it's killing the app performance under high loads. I'm looking for something that is easy to set up and keep running with low to no maintenance.
The "hacked" way is to go CSV files, store them on s3. It is very limited but it is also very simple. (Not sure what software can run queries on CSV files directly).
The "doing things right" way is to go for AWS RedShift or Google BigQuery. There is a learning curve at the start but it's really REALLY good and it will pay off by many folds later.