Google-like SEARCH in any database
Clusterpoint Server empowers
you to add super-fast Internet-style search queries to your database
applications and always retrieve the most relevant data first.
Clusterpoint DBMS indexes entire
database content for structured, unstructured (full text) and
semi-structured search.
In
Clusterpoint architecture the entire database information is being
indexed up to the very last detail (string, word, number, date, tag
etc.), and index is being updated in real-time along document
writes. Please see Ranked Full Data Index.
Clusterpoint software hides real complexity
of this full database content indexing and clustering behind database
infrastructure.
To make database SEARCH both
scalable and high-speed in massively clustered database architecture,
Clusterpoint database technology have a built-in customizable Information Ranking
mechanism
for flexible positioning, grouping and ordering of data for the maximum
relevancy and ultra-fast SEARCH performance.
Information Ranking is a freely programmable
database indexing mechanism how to instantly get the most meaningful
(relevant)
data
upfront, e.g.,
on the 1st web page.
The resulting data retrieval system is superior to any existing SQL
or NoSQL databases at super-fast, relevant, high-precision search across the entire database content, including free-format
Internet-style search (full
text search with relevance scoring,
stemming,
results snippets,
autocomplete,
facets etc). This search
feature in Clusterpoint works on full database content, independently
where the particular data item of interest is located and how it is
structured by customer. It just instantly finds anything into
your database.
With Clusterpoint technology,
you can solve two major database usability problems existing
today:
- Performance
of search.
It often disappoints users when a database size grows too
large.
Quickly
finding relevant information in large size legacy databases is
difficult and expensive. With Clusterpoint you can make
lightning fast
custom search queries with complex data ordering and grouping
requirements, where search is performed across a distributed cluster
database in a very simple querying format: as Internet-style ad hoc
search query using any known content within a database.
Outperform legacy SQL systems by a factor of 100 to
1000 with disk storage access and up to 100,000 times with in-memory
RAM database access, achieving milisecond-rage ad hoc search response times
for your web or mobile applications.
Please see more in sections Search
Simplicity and Fast
Performance.
- Relevancy of search. Many application software systems have an underlying legacy database which can be accessed by only a limited number of queries and reports, pre-programmed and optimized for performance by expert programmers. Clusterpoint's enterprise search functionality, including free-format Internet-style ad hoc querying system, allows users themselves to create specific, customized queries from any known content in the database and still always get the most relevant data out of the database, even if contains billions of objects and is massively clustered over tens and hundreds of servers. Information ranking is used to instantly bring the most useful database information on the first Web page, sorted, grouped and exactly positioned by customer own ranking rules, with follow-up pages containing less ranked (less important) results. Information ranking mechanism is freely programmable by customer own data ordering preferences and search logic requirements in Clusterpoint database architecture, where customer can set up and fine-tune its own search relevancy ranking logic at database configuration level, no application software changes are required. In fact, Information Ranking is a game-changing characteristic of Clusterpoint database technology, enabling our customers to start building disruptive software applications, requiring linearly scalable, data-structure agnostic, high-performance computing enabled database infrastructure that delivers guaranteed sub-second quality search in any database, without performance degradation when database size grows big.
Please read more about Information Ranking.
