We've always counted on SQL Server as our database backend. It has served us well over the years. It isn't the cheapest part of our stack, but with the plethora of tools provided by 3rd parties, we have found an incredible and scalable method of keeping our data available and easy to maintain.

Product back end and reporting

Managing script output and input, as well as data cleansing.

Main transactional database. SQL Server 2012 Enterprise with AlwaysOn Availability Groups for high availability and disaster recovery.

Users and companies are stored in SQL Server

Integration with LOB systems.

Our beloved DB.

Back End: DataBase

社内サーバー

This is database for all Windows applications.

Stores rules for PRS

Datastorage

My go to database when working with Microsoft Technologies.

Data source from the data warehouse.

UI & administration data.

Azure SQL service to use as a main storage

for BI

Backing database for several distinct APIs

Our core systems that we integrate with are using SQL Server 2012 / 2016 database servers. We use database views on core system databases to help build our domain model.

Everyone needs a robust database, right?

Stitch is a wrapper around a Cassandra database. It has a web application that provides read-access to the counts through an HTTP API. The counts are written to Cassandra in two distinct ways, and it's possible to use either or both of them:

• Real-time: For real-time updates, Stitch has a processor application that handles a stream of events coming from a broker and increments the appropriate counts in Cassandra.

• Batch: The batch part is a MapReduce job running on Hadoop that reads event logs, calculates the overall totals, and bulk loads this into Cassandra.

Implements the App Engine Datastore API.

Stores massive data, distributed among many different clusters.

Cassandra is our data management workhorse. It handles all our key-value services, supports time-series data storage and retrieval, securely stores all our audit trails, and backs our Datomic database.

Logs storage and aggregation

We are using Cassandra in a few of our apps. One of them is as a count service application to track the number of shares, clicks.. etc

Storage and management of Virtual Services

While we experimented with Cassandra in the past, we are no longer using it. It is, however, open for consideration in future projects.

Hot storage system

Datastax interview

某プロプライエタリなWebアプリを動かすのに必要だった(インストールと構築のみ)

Used Cassandra's CQL for database query.

Big data analytics.

As a part of big data machine learning stack (SMACK)

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