Twitter which database

This will help your brand know what specific time periods drove the most engagement and reach with your audience. Instead of switching between different Twitter profiles and analytics tabs, Sprout provides your audience demographics all within the same report. With the Twitter Profiles section of the report, you get a top-level view of your Twitter data per profile such as: followers, net follower growth, engagements and total impressions.

With Sprout Social, these statistics are just the beginning of Twitter data you can pull for your profile. Social media data can showcase several things for your business. Whether you want to see what content performs best or who your core buyers are, data can decipher your overall Twitter production. Collecting, measuring and analyzing the right Twitter data can back up your social media marketing efforts with in-depth analytics.

Sprout Social provides presentation-ready reports at your fingertips to show your team or higher-ups just how well your Twitter marketing is paying off. Want to see what Sprout Social can do for your business on Twitter? Try our powerful Twitter analytics tools for free with a day trial! Sprout Social helps you understand and reach your audience, engage your community and measure performance with the only all-in-one social media management platform built for connection.

Send us an email. Send us an email Who are you trying to contact? Sales Support Other. What Is Twitter Data? As of now, Twitter breaks up your analytics into five main sections: 1.

Account Home Twitter provides a robust monthly review for users to see the performance of their content.

Some of the data you can see from the home section includes: Tweets: Total number of Tweets you sent. Tweet impressions: Total number of times a user was served your Tweet in their timeline or search results including whether it was seen or not. Profile visits: Total number of times your profile was clicked on from your Tweets or through search.

Tweet Activity Tweet activity gives you a broad view of the number of Tweets and organic impressions not including promoted impressions for a specific day or time period. Audience Insights Your Twitter data changes depending on your audience type. Top Language: The top language among your audience. Top Interest Type: The most common lifestyle category for your audience.

Mobile Footprint: The top used wireless carrier for your audience. January 5, 3 min read. Facebook uses fork of MySql 5. MySQL is running on pure flash. Initially facebook messenger kept all data in HBase but was migrated to MySQL to save storage space, reduce read latency and improve support experience. You can find more information here. Performance numbers are impressive as of :.

Query response times: 4ms reads, 5ms writes. The database is heavily sharded and replicated. Related data is kept together in a shard to reduce the number of shards they need to hit to find the data. They also have a lot of binlog consumers. Binlog is a replication mechanism of MySql that independent of a storage type.

HPHP is a frontend application, cluster and region caches are instances of memcache that use leases instead of locks to avoid race conditions. One application of FlockDB that Weil cites is determining which users to show replies to. It should show up only for users that follow both Kutcher and Foursquare.

Weil cites this SlideShare as a resource for those wanting to know more about how Twitter analyzes social graphs:. Big Data in Real-Time at Twitter. Weil says Twitter is currently experimenting with using Cassandra for atomic counting. Twitter uses all the data it collects for a variety of purposes. Some are just simple counting problems, such as figuring out how many requests it serves a day, how many searches it serves a day, what the average time it takes to process those transactions is, etc.

Other uses are more complex. For example, running comparisons of different types of users. So you could get your archived data from Twitter, input it into NodeXL, and create a breathtaking visual representation of your tweets from any period you like.

For a graph junkie like me, this is a very exciting tool. Better known as a Twitter chat room for tweet chats, TWChat also provides you with the option of creating a permanent archive for various hashtags of your choice. Every day, a new archive will be created that shows you how that tag is being used. This is an amazing tool if you are looking to monitor your reputation, or even a specific social campaign.

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