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Another hardware-based market trend in the 1980s and early 1990s was the emergence of companies that combined high-performance microprocessors, fast disk drives, and multiprocessor architectures to build dedicated systems that were optimized as database servers. These vendors argued that they could deliver much better database performance with a specially designed database engine than with a general-purpose computer system. In some cases, their systems included application-specific integrated circuits (ASICs) that implement some of the DBMS logic in hardware for maximum speed. Dedicated database systems from companies such as Teradata and Sharebase (formerly Britton-Lee) found some acceptance in applications that involve complex queries against very large databases. However, they have not become an important part of the mainstream database market, and these vendors eventually disappeared or were acquired by larger, general-purpose computer companies. Interestingly, the notion of a packaged, all-in-one database server appliance was briefly rekindled at the end of the 1990s by Oracle Corporation and its CEO, Larry Ellison. Ellison argued that the Internet era had seen the success of other all-in-one products, such as networking equipment and web cache servers. Oracle announced partnerships with several server hardware vendors to build Oracle-based database appliances. Over time, however, these efforts had little market impact, and Oracle s enthusiasm for database appliances faded from media attention.
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Several venture-backed startups have recently embraced the idea of database server appliances once again, this time in the form of database caching servers that reside in a network between the application and an enterprise database. These startups point to the widespread success of web page caching within the Internet architecture, and posit a similar opportunity for data caching. Unlike web pages, however, database contents tend to have an inherent transactional character, which makes the synchronization of cache contents with the main database both much more important (to insure that requests satisfied by the database cache come up with the right response) and much more difficult. Whether the notion of a database caching appliance will catch on or not remains an open question as of this writing.
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As SQL-based relational databases have moved into the mainstream of enterprise data processing, database performance has become a critical factor in DBMS selection. User focus on database performance, coupled with the DBMS vendors interest in selling high-priced, high-margin, high-end DBMS configurations, has produced a series of benchmark wars among DBMS vendors. Virtually all of the DBMS vendors have joined the fray at some point over the last decade. Some have focused on maximum absolute database performance. Others emphasize price/performance and the cost-effectiveness of their DBMS solution. Still others emphasize performance for specific types of database processing, such as OLTP or OLAP. In every case, the vendors tout benchmarks that show the superior performance of their products while trying to discredit the benchmarks of competitors. The early benchmark claims focused on vendor-proprietary tests, and then on two early vendor-independent benchmarks that emerged. The Debit/Credit benchmark simulated simple accounting transactions. The TP1 benchmark, first defined by Tandem, measured basic OLTP performance. These simple standardized benchmarks were still easy for the vendors to manipulate to produce results that cast them in the most favorable light. In an attempt to bring more stability and meaning to the benchmark data, several vendors and database consultants banded together to produce standardized database benchmarks that would allow meaningful comparisons among various DBMS products. This group, called the Transaction Processing Council, defined a series of official OLTP benchmarks, known as TPC-A, TPC-B, and TPC-C. The Council has also assumed a role as a clearinghouse for validating and publishing the results of benchmarks run on various brands of DBMS and computer systems. The results of TPC benchmarks are usually expressed in transactions per minute (e.g., tpmC), but it s common to hear the results referred to simply by the benchmark name (e.g., DBMS Brand X on hardware Y delivered 10,000 TPC-Cs ). The most recent TPC OLTP benchmark, TPC-C, attempts to measure not just raw database server performance, but the overall performance of a client/server configuration. Modern multiprocessor workgroup-level servers are delivering thousands
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