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SlashDB automatically generates a REST API from relational databases. Database content becomes accessible to authorized web, mobile, and enterprise applications for reading and writing in convenient formats like XML, JSON, and CSV. Additionally, the HTML representation helps with browsing through data. SlashDB is capable of providing a central access point to multiple databases, effectively forming a resource-oriented architecture (ROA) consistent with databases’ schema and contents.

Resource-Oriented Architecture

Businesses large and small realize that data is one of their most valuable resources and that existing data-management technologies have not fully delivered.

Resource-oriented architecture (ROA) is different because it lets the data be just data, accessible on demand from the original systems of record, always up to date and in full context.

SlashDB provides uniform, controlled, centralized, and interoperable access to all data without copying it to a central data warehouse.

Installs on Premises and in the Cloud

When deployed behind an enterprise firewall, the powerful resource-oriented architecture unlocks the new paradigm in enterprise data management, which compares favorably to traditional extract-transform-load (ETL) and data-warehousing approaches.

When installed in a demilitarized zone (DMZ) or in a cloud, SlashDB greatly simplifies development of database-driven web and mobile applications. For example, SlashDB can instantly add an API layer to a website originally designed only for interactive use.

SlashDB delivers data from enterprise databases to web and mobile applications and can easily cut 90% of the time it would take to build a custom web-service backend.

Secure

Authentication, authorization, and encryption are all addressed.

SlashDB preserves and extends the underlying database permission mechanisms and can be easily integrated with single-sign-on and user-entitlement systems.

Integrates with Big Data

In SlashDB, related records are hyperlinked, which allows for a seamless search-engine indexing of data and provides NoSQL and graph facades over the traditional SQL databases. Related data can be lazily traversed or retrieved at once as a hierarchical XML or JSON document. Data in this form can be loaded into NoSQL document stores for joint analysis with unstructured data from other sources using big-data algorithms such as distributed MapReduce.

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