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| ====== Introduction ====== | ====== Introduction ====== | ||
| - | [[intro:overview:what|What is Omnidex?]] -> **[[intro:overview:where|Where is Omnidex Used?]]** -> [[intro:overview:how|How is Omnidex Implemented?]] | + | [[intro:overview:what|What is Omnidex?]] | **[[intro:overview:where|Where is Omnidex Used?]]** | [[intro:overview:how|How is Omnidex Implemented?]] | [[intro:overview:demos|Watch Omnidex in Action]] |
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| ===== Where is Omnidex used? ===== | ===== Where is Omnidex used? ===== | ||
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| Businesses own a lot of data that resides outside of the relational database. Transaction logs contain valuable answers about the day's activity. Branch offices or vendors send raw data files, or "flat files", that deserve immediate attention. Currently, businesses overload their relational databases by importing these raw data files simply because they want to use SQL. Give your relational database a rest. Your raw data files are good enough as they are. Omnidex can provide standard SQL access to these files without having to involve a relational database. | Businesses own a lot of data that resides outside of the relational database. Transaction logs contain valuable answers about the day's activity. Branch offices or vendors send raw data files, or "flat files", that deserve immediate attention. Currently, businesses overload their relational databases by importing these raw data files simply because they want to use SQL. Give your relational database a rest. Your raw data files are good enough as they are. Omnidex can provide standard SQL access to these files without having to involve a relational database. | ||
| - | This approach has become so common that it has a name: the NoSQL movement. Companies with lots of data want high-performance alternatives to standard relational databases. Omnidex provides the best of both worlds: high performance queries against raw data files while still supporting ANSI SQL queries through standard interfaces. | + | This approach has become so common that it has a name: the NoSQL movement. Companies with lots of data want high-performance alternatives to standard relational databases. Omnidex provides the best of both worlds: fast queries against raw data files using both standard and extended SQL. |
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| * **Save license fees** - Save some money. The license fees for relational databases are not required on servers that simply host raw data files and Omnidex indexes. | * **Save license fees** - Save some money. The license fees for relational databases are not required on servers that simply host raw data files and Omnidex indexes. | ||
| - | Omnidex can index and search raw data files using standard SQL engine, available through standard interfaces like ODBC and JDBC. For many raw data files, there is no advantage to the complexities of a relational databases and there are plenty of advantages to making it available quickly. | + | Omnidex can index and search raw data files using a standard SQL engine, available through standard interfaces like ODBC and JDBC. For many raw data files, there is no advantage to the complexities of a relational databases and there are plenty of advantages to making it available quickly. |
| [[intro:overview:where| [close] ]] | [[intro:overview:where| [close] ]] | ||