Data distribution is a modern trend in data management that allows applications to take advantage of ubiquitous device hardware. In a typical system where data needs to be distributed, data is stored across multiple sites, and each site runs independently. In this white paper, learn how ITTIA DB SQL provides applications with a data replication environment to greatly improve Availability, Reliability, Modularity, Mobility, and Interoperability by synchronizing device data with a back-end RDBMS.
With Android's worldwide smartphone market dominance and the
availability of inexpensive high-capacity SD Cards, it is easier than
ever to build a distributed network of data-driven applications. This
white paper discusses the design implications of database storage on
Android devices, including the importance of performance tuning,
scalability, and data distribution. Learn how ITTIA DB SQL can add
robust data management capabilities to any Android application.
Embedded software applications face many challenges that are not
present on desktop computers. Memory allocation is an important factor for providing the performance and reliability that is necessary on an embedded device. Storing, organizing, and sharing data makes up a large part of the
memory requirements for an application. A device application can use
an embedded database library to manage memory more effectively, by
both imposing bounds on memory usage and analyzing worst-case
challenges when designing and implementing software for custom
hardware. Embedded processor architectures, such as ARM and PowerPC, each
have unique characteristics. Footprint and performance are
important, and access to source code for all software components
Portable media players have evolved significantly in the decade
that has passed since the first digital audio players first gained
popularity in 1998.
With the amount of storage capacity in portable media players ever
growing, software developers must develop new techniques to manage
music, video, and image files.
often start their projects with a set of questions.
What are the
important characteristics for selecting an embedded database for
can a database
offer beyond recovery from power failure, preventing data loss, or
flash media wear? What are the hidden costs when selecting an
database? In this
whitepaper we share
how a reliable embedded database, like ITTIA DB SQL,
This white paper discusses the benefits of incorporating an embedded database into applications for embedded, intelligent, and mobile devices. An embedded database library is an inexpensive replacement for flat files that gives applications access to relational database features, such as transaction logging and indexed search, without the overhead of an enterprise database. Applications developed with an embedded database are scalable and protected from data loss by leveraging decades of data management expertise. Finish your application on time and under budget with embedded database.
Data modeling is a design technique used by developers to help understand complex problems involving interrelated information. This technique originates in enterprise databases where hundreds of tables can store billions of records.
Software development for embedded devices has many unique
challenges. Systems can run for years, and, with no easy way to
perform maintenance, must be very reliable. To keep cost low,
resources such as memory and storage space are usually very limited.
Because the exact hardware specifications are known during design, it
is possible to build fail-safe software that efficiently utilizes
limited resources. To accomplish this, all software on the device
must be carefully selected, including the operating system, drivers,
and libraries such as database.
ITTIA DB SQL is a lightweight database management system designed from the ground up to meet the requirements of embedded systems and devices. SQLite is an open source software library. This white paper examines the performance characteristics and technical capabilities of ITTIA DB over SQLite.