ScimoreDB Distributed Server 2.5.0.1053 Antivirus Report
   ScimoreDB Distributed Server software have been tested by datapicks.com team against viruses, spyware, adware and was founded to be 100% clean.
  We will recheck this software periodically to assure users that it remain clean.
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ScimoreDB Distributed Server 2.5.0.1053 Antivirus Report

Scanning ServerSetup.exe
ServerSetup.exe: OK

----------- SCAN SUMMARY -----------
Scanned directories: 0
Scanned files: 1
Infected files: 0
Data scanned: 3.35 MB
Time: 1.655 sec (0 m 1 s)

 
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ScimoreDB Distributed Server 2.5.0.1053 Description:

Royalty free fully featured SQL database engine with nearly 1 million installations worldwide. Use as embedded, like MS access, or as large clustered, like Oracle/DB2, distributed database. ScimoreDB embedded, server or distributed databases has been optimized for MS Windows and .NET to deliver optimal database performance.

Database top features:
* GUI for database administration and querying.
* Client interfaces: .NET data provider, C++ libraries, COM object.
* SQL language
* SQL procedures with T-SQL syntax
* Optimized for SMP
* Asynchronious IO for disk and network
* Internal scheduler with priority queues - optimizing control of query execution
* Multiversion Concurrency Control - writers never block readers
* Table level and row level locking
* ACID Transactions
* Group commit
* Optional "In memory Transactions"
* Transactional DDL. Create/alter/drop comands are transactional
* Configurable maximum memory usage
* Primary key/foreign key/referential integrity/cascade delete
* Blob size limited to 16TB
* Text blob compression
* Real-time deadlock detection
* Nested sub-queries
* Communicate with database using either shared memory, named pipes, and TCP/IP
* Up to 65.000 concurrent connections
* Side-by-side installations. Many installations of engine on same machine
* Maximum database size 2^64 bytes = 16.777.216 Terabytes - imagine a backup/restore
* Free text indexing and searching
* Hot backup
* Defragmentation/shrinking tables
* Query optimizer using cost based strategy with heuristical hints
* Distributed query optimizer
* Flexible monitoring capabilities using SQL commands
* Working with distributed, it like working with a single database instance

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