performance

In the previous article we told that we’ve performed a lot of work concerning optimization of parsing queries in SQL documents. Also we informed that we’ve fixed all problems that were found by users of our intellisense… But recently one user sent us quite a small script that caused freezing of SSMS by Devart SQL Complete. Here it is:
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Recently we have released a free SQL Complete tool that provides IntelliSense and script layout for SQL Server. If you like IntelliSense in Visual Studio and write T-SQL, you’ll probably appreciate the productivity improvements with SQL Complete.
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We compared some best-of-breed data comparison tools with dbForge Data Compare 2.00 to find out which one is speedier to compare and synchronize data in SQL Server databases.

The participant tools were tested with default settings on live databases on SQL Server 2008 that installed with default settings on a desktop (with a dual-core processor and 2Gb of RAM). Both the SQL Server and the tools were installed on the same desktop.

Live Databases:
Two databases with total size of 1Gb: 115 tables containing one with 3 million records of numeric and string data types, the other with middle size BLOB data.

Task №1: We measured the speed of each tool while comparing the data, generating an update script, and at last synchronizing the databases.

Data Comparison/Synchronization Performance

Result №1: Tests results show that dbForge Data Compare for SQL Server v2.00 has leaved the competitors far behind.

Task №2: We decided to compare the performance of the selected participant tools based on the main industry-leading competitor’ performance. Besides we took into account the product price and tried to calculate the efficiency as best performance for less money.

Performance/Price

Result №2: This graph shows that not all the tools can be proud of delivering an expected combination of best performance and best price. dbForge Data Compare handles this task well.

Check Shot

To fully complete our research, we decided to go the whole hog and use the aforementioned tools to compare large databases with the size of 120Gb (some tables in these databases have 2.4 billion records, some tables contain 1.5Gb of LOB data, the FILESTREAM table is with 5.3Gb of records). dbForge Data Compare was good at comparison, while neither of the competitive tools compared tables with LOB data and records in the FILESTREAM table. When we excluded such tables, only one tool coped with 2.4 billion records.
Speed rate of dbForge Data Compare is several times higher than other popular competitive tools have.

Try dbForge Data Compare on your database. Delivering qualitative data comparison and synchronization is our fame.

We guarantee quick support and product improvement if dbForge Data Compare fails to compare and synchronize your database. We even may give you the product license for free.

Devart announced the release of a new version of the professional tool for SQL server data comparison and synchronization – dbForge Data Compare 2.00. Committed to support the needs of database-dealing professionals, Devart now delivers a performance-leading SQL comparison tool that incorporates three times faster data comparison and synchronization, the smallest price and greater satisfaction than all other data comparison tools offer.

Incorporating these three components, dbForge Data Compare 2.00 guarantees greater satisfaction and smother database-dealing experience for any SQL comparison and synchronization goals.

The highlights of dbForge Data Compare 2.00 include:

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Optimized tool facilitates database developers and web masters to efficiently work with remote databases at a lower cost with a greater speed.

Devart today announced the release of dbForge Studio for MySQL v 3.60, a cutting-edge tool for administration and development of MySQL databases.

The new upgrade is the contemporary answer for common bottlenecks originated from employing remote
MySQL Servers while developing, updating, and using modern large databases. dbForge Studio for MySQL v 3.60 offers new freedom for those who work with large schemas and data amounts especially in cases of using remote MySQL servers, for example serving web sites.

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