Apache HBase vs. Azure Table Storage vs. HyperSQL DataBase vs. SQLGate Comparison Chart

Use Azure Table storage to store petabytes of semi-structured data and keep costs down. Unlike many data stores—on-premises or cloud-based—Table storage lets you scale up without having to manually shard your dataset. Availability also isn’t a concern: using geo-redundant storage, stored data is replicated three times within a region—and an additional three times in another region, hundreds of miles away. Table storage is excellent for flexible datasets—web app user data, address books, device information, and other metadata—and lets you build cloud applications without locking down the data model to particular schemas. Because different rows in the same table can have a different structure—for example, order information in one row, and customer information in another—you can evolve your application and table schema without taking it offline. Table storage embraces a strong consistency model.

SQLGate is a simple but powerful IDE for multiple SQL databases. As an integrated database management and development solution, it simplifies the construction and operation of databases. It is customized for seven different databases that make up 83.2% of the DBMS market. These include Oracle, SQL Server, MySQL, MariaDB, Tibero, and PostgreSQL. SQLGate makes it easier and quicker to deal with databases holding large amounts of data. Multiple Languages available: Korean, English, Spanish, French, Japanese, etc..