Everest Advanced Edition's back-end database is Microsoft SQL Server. We have compiled the following information on Microsoft SQL Server from Microsoft's Website for your review.
Overview
Microsoft SQL Server 2000 Enterprise Edition is the complete database and analysis offering for rapidly delivering the next generation of scalable E-Commerce, line-of-business and data warehousing solutions.
Benefits
Fully Web-Enabled Query, analyze and manipulate data over the Web. Use Extensible Markup Language (XML) in SQL Server 2000 to exchange data between loosely coupled systems. Access data easily and securely from a browser, through firewalls, and perform fast full-text searches of formatted documents. Analyze and link online analytical processing (OLAP) cubes, even over the Web. Perform click stream analysis to learn about your Web customers.
Highly Scalable and Reliable:
Grow without limits with enhanced scalability and reliability features. Partition your database workload to achieve scale-out of applications. Take full advantage of Symmetric Multiprocessing (SMP) hardware, and, with the Microsoft Windows 2000 Datacenter. Server operating system, support up to 32 CPUs and 64 GB of RAM.
Fastest Time-to-Market:
Rapidly build, deploy, and manage E-Commerce, line-of-business, and data warehousing solutions. Perform sophisticated data mining on customer and financial data. Reduce development time with the integrated T-SQL debugger, and develop your own functions that can be reused in different applications. SQL Server 2000 provides the fastest route to Web application development.
Record Benchmark
Microsoft SQL Server 2000 Features SQL Server 2000-posted world-record benchmarks that eclipsed the competition on multiple platforms.
32 CPU SMP system support -Requires Windows 2000 DataCenter Server |
Scale-up SQL Server 2000 databases to SMP systems with as many as 32 processors. |
64 GB RAM support - requires Windows 2000 Data Center Server |
Handle the largest data sets and transactional loads with up to 64 GBz of RAM for SQL Server 2000. |
Distributed Partitioned Views |
Achieve software scale out on the data tier by partitioning workload across servers. Add additional servers for greater scalability. |
Failover cluster management |
Reinstall or rebuild any node in a failover cluster without impacting other nodes. Easily configure failover for replication and Distributed Partitioned Views. |
HTTP access to cubes |
Make cubes available through firewalls for Web-based analysis applications using an HTTP listener built into SQL Server 2000 Enterprise Edition. |
URL and HTTP access |
Flexibly access data from the Web via a URL. Use Structured Query Language (SQL), XML templates or XPath in URLs for querying. |
Installation disk imaging |
Create standard or default databases for server farms easily and rapidly from any machine on the network with built-in cloning technology. |
Internet standards support |
Integrate existing systems without programming through comprehensive support for W3C standards including XML, Xpath, XSL and HTTP. |
Integrated Data Mining |
Analyze collected relational and OLAP data including clickstreams and purchase histories to recognize trends and make predictions. Close the loop by delivering personalized content. |
Multi-instance support |
Run reliably in hosted scenarios with separate database instances per customer or application. |
XML Views |
View and access relational data using XML techniques by easily mapping XML elements and attributes to relational schema. |
SELECT … FOR XML |
Return XML from SQL queries and easily control the shape of the returned XML tree with three formatting options. |
OpenXML |
Access, manipulate and update XML documents as if they were tables using T-SQL and stored procedures. |
XML Updategrams - available through download after release |
Use XML to selectively insert, update and delete table data from anywhere, even through firewalls. |
XML bulk load - available through download after release |
Seamlessly transmit, transform and load data from any source into SQL Server 2000 relational tables. |
Log Shipping |
Automatically keep databases in synch for warm standby on multiple backup servers to share load-no matter how physically far apart. |
Parallel index creation |
Take full advantage SMP hardware to speed up index creation, easing the load on frequently updated systems. |
Parallel scan |
Accelerate scans on multiprocessor systems to improve overall database performance. |
Indexed views |
Create indexes on views to improve performance of existing queries without recoding. Speed up analysis and reporting that rely on complex views. |
Indexes on computed columns |
Define indexes on column types even when the data in the column is computed from other columns. |
Online index reorganization |
Keep the server up and running while reorganizing indexes to improve performance. |
ROLAP dimension storage |
Perform analyses on huge dimensions (10M+ members) by storing such dimensions relationally. |
OLAP Actions |
Allow analysis results to kick off processes in Web and business applications automatically |
Distributed Partition Cubes |
Easily use the Partition Wizard to separate one logical cube into separate physical partitions with complete transparency for flexible data storage and improved query performance. |
Differential backup |
Run backups quickly and with low server impact by only backing up changed pages. |
Server-less snapshot backup5 |
Backup data seamlessly with effectively no impact on the database server. Restore quickly or create warm standby servers. Requires third party virtual device interface (VDI) application and enterprise storage system supporting split mirror or copy-on-write operations. |
MDX Builder |
Use drag-and-drop to quickly generate Multidimensional Expressions. Easily add functions, arithmetic operators and more. |
Virtual Cube Editor |
Browse, examine and edit virtual cubes graphically |
Column level collations |
Store objects that have different collations in the same database. Collations can be specified at the database level or at the column level. |
New data types |
Store and reference data flexibly with bigint, sql_variant and table data types. |
Active Directory integration - Active Directory is a feature of Windows 2000 |
Manage databases centrally alongside other enterprise resources. View and search for servers, replication publications, cubes and more. |
Copy Database Wizard |
Move and copy databases and objects between servers easily. Schedule migrations through integration with DTS. |
Self-management and tuning |
Rest easy as SQL Server 2000 uses dynamic algorithms to automatically adapt to constantly changing runtime environments. |
SQL Query Analyzer |
Debug stored procedures. Set breakpoints, define watches, view variables and step through code. Trace executing code on server or client. Easily write T-SQL based on templates. |
Cascading referential integrity constraints |
Control how changes propagate through tables when keys are updated. |
INSTEAD OF and AFTER triggers |
Execute code flexibly by specifying what happens in lieu of an operation or after it. |
User-defined functions |
Achieve code reuse by creating T-SQL functions. Incorporate routinely used logic to simplify development. |
VI SAN support |
Speed communications between servers with SQL Server 2000 support for direct communication with System Area Network (SAN) devices. |
Full-Text Search |
Enable Full-Text Search across the Web and intranets for formatted documents (e.g. Word, Excel, and HTML). Track changes automatically. |
Failover clustering |
Install failover-ready databases directly from Setup. Use active-passive failover with standby hardware or active-active failover in hardware constrained environments. Databases can failover to any surviving node with 4-node failover. |
English Query |
Allow all users to access data via natural language queries. Graphically author queries with wizards in the included Visual Studio environment. Generate MDX to query cubes. |
Security in Analysis Services |
Lock down sensitive data by defining security for dimensions and cells. Restrict roles to specific combinations of cells. |
Dimensions |
Pick the most appropriate dimension type with new parent-child, ragged, changing, write-enabled and dependent dimensions. |
Integrated Analysis Services |
Build OLAP, data warehousing and data mining solutions to derive value from data. |
Data Transformation Services (DTS) |
Import and export primary and foreign keys between supported database products. Program the multi-phase data pump and save DTS packages as Visual Basic code. |
Security |
Protect data with higher default security on install. Includes support for Secure Sockets Layer (SSL) connections and Kerberos. C2-level certification underway |
Linked OLAP cubes |
Link OLAP cubes on different servers to supercharge analysis. Securely share or sell source cube data over the Internet. |
Parallel DBCC |
Verify database data quickly and efficiently with multiprocessor support. |