SoftInform

Investment  Projects

We offer good investment opportunities. We are looking for investment in the range of $439,000 to $14,000,000. All our projects are protected by patents.

LeoBase

Introduction

Capabilities

History

New technologies

Example

Marketing

Investment

Brief

We are seeking investment for implementation of DataBase Management System LeoBase in range of  $14,000,000

LeoBase is a post-relational database. Its ideology of information processing and new database technologies provides:

	searching by an arbitrary logical combination of key fields that several times faster than in existing solutions. This is achieved due to absence of processing records one by one used in most database management system at a certain stage of work
	there is non need to optimize database queries
	saving disk space
	and other advantages part of them are described below

The refusal from conventional data models allows using LeoBase in solutions where it is impossible or very difficult to use most of well known  database management systems. We can cite an example of application of these technologies in the field of cartography. While implementing the postrelational DBMS LeoBase, a number of patented technologies will be used. Some other related technologies are currently being prepared for filing. More detailed about existing and planning patents  please visit to www.patentnew.com 

The promotion of this project is described in the business development plan.

Advantages

1) Postrelational database LeoBase works not only with one separate database, but with a whole complex of databases at once and tracks automatically integrity and correctness of links between them.

2) LeoBase has extended search capabilities in comparison with other DBMS. It is possible to conduct search by an arbitrary logical combination of key fields. Moreover, this operation is performed without processing records one by one used in most DBMS at a certain stage of work. It is also important that a list may contain key fields from different databases.

3) As a result of retrieval request processing you will get a whole set of records at once which is relevant to search conditions. Moreover, the amount of found records does not influence the speed of search,  while in most of DBMS the result of search is the first record which is relevant to search conditions. Other records are being searched while accessing them. Therefore if it is necessary to receive a whole set of records, the speed of search processing depends directly on the amount of found records.

4) In currently existing DBMS the speed of search query processing strongly depends on how a search query is formed and to increase the speed of search, a user has to optimize database queries. In such cases the efficiency of work with DBMS depends on professional skills of a user. LeoBase avoids this disadvantage. A user does not need to optimize a query, because any query is processed in an optimal way. Database query optimizing allows increasing significantly the productivity of work of professional user and unskilled one.

5) The technologies integrated into LeoBase make it possible to get at any moment information about records that are referred to the current one and records that refer to by the current one. As LeoBase works not only with one separate database, but with a whole complex of databases, such information may be received both for a record from any database and for a record from a list of databases.

6) In contrast to other DBMS where it is necessary to create additional table to work with a part of a database, LeoBase supports the conception of selected records. Selected records are a subset of database records which were selected by a certain criterion for further  work. these records may be sorted by one or more fields from different databases. It is also possible to exclude repeated records that have the same value of the given combination of fields. The mechanism of selections permits saving and restoring quickly and effectively  (without creating a new database) selected records and their sequence order.

7) In contrast to existing DBMS, the format of records in LeoBase is not a strictly specified sequence of descriptive fields. It depends on a value of so-called “case” field. Any records can be presented as a tree of descriptive fields. Each branch of this tree is a certain set of descriptive fields and the choice of this branch for a specific record depends on its case field. Such implementation is very useful for storing data which it is difficult to structure. An alternative approach to implementation requires that database fields must be adjusted to records or the database’s structure must be constantly changed by adding new fields. This results in increasing the size of index, slowing down the speed of data processing, etc. LeoBase’s technologies permit avoiding these disadvantages.

8) In contrast to other databases, data stored in LeoBase occupy much less place. It is achieved thanks to case fields and fields with variable length. Moreover, each record occupies only as much place as it needs for optimal storage. Besides, LeoBase has its own technology of text data compression which effectively works not only with large data arrays, but also small information arrays. It is connected with the fact that this method does not use conventional compression methods with recursive processing and a dictionary. The whole set of above-mentioned technologies makes it possible to optimize the process of data storage.

9) The mechanism of batch addition permits adding records without modifying indexes, but subsequently reindexing partly a database.

10) Full text search and search for documents with similar text context allow using this DBMS for processing unstructured or weakly structured data. Leobase has own:

   -- technologies of searching storing and processing unstructured information

   -- full text search technologies

   -- fuzzy search technologies

   -- proximity search technologies

11) In addition to SQL LeoBase has its own query language LeoBase Query Language (LQL). A developed specification of this language allows us to assert that LQL is more powerful than SQL and a number of operations with the use of LQL can be conducted much simpler and effectively. LQL can enable all LeoBase’s capabilities.

12) LeoBase has a unique mechanism of search query buffering. Moreover, in contrast to existing methods of buffering involves saving all search queries (or a specific number of recent search queries), LeoBase has a unique feature. Due to this technology the speed of search query processing increases several times. The increase in speed depends directly on the activity of database exploitation, i.e. it depends on the amount processed search queries. The more DBMS processes search queries, the more quickly all search operations are processed, which is very noticeable while using frequently identical search queries

13)Data buffering system (LeoBase Smart Files --LSF) increases considerably system productivity if a greater amount of RAM is available and decreases traffic while working in a network. Due to LSF the operating speed increases after long term usage of DBMS LeoBase.

14)DataBase LeoBase has many other integrated technologies which can be implemented not only in dbms. To see more please click here