"A world class Enterprise Analytic Database, the SAND Platform is a patented columnar database management system (CDBMS) delivering optimal performance for every user. "
SAND CDBMS is an Analytics database optimized for data mining, statistical analysis, pattern identification, and ad hoc queries.
SAND is a software-based solution designed to do more with less – using intelligence to deliver operational efficiency rather than brute strength. The ‘Load and Go’ operation gives business users access to data immediately without the need for extensive database design and performance tuning requirements. SAND databases have a small footprint due to data compression and can run on low-cost commodity hardware. Simple access via standard SQL and ODBC/JDBC allow existing front-end applications to perform high volume complex SQL queries with ease.
Bit Vector Encoding
The ability to export data to SCT (Sand Compressed Table) and Parquet file formats, providing excellent compression compared to flat file format, and faster re-load times.
The use of SAND Domains, tokens, and compression resulting in a small database footprint.
Low overhead for DBA administration, with few knobs to turn for a basic setup.
Excels at ad-hoc analytics on large datasets, with our column-aware query optimizer enabling the best possible plan for any query submitted.
Automatically 100% indexed—all the time—by way of the database's internal structure.
A database that's load-and-go with minimal configuration
Product recommendations, vendor rankings, market overview and tips on how to select Analytics software for business. Published in September 2018.
Businesses today gather large volumes of data, ranging from customer information to something as basic as the client location. The process of converting the data into actionable information is called analytics. Analytics software analyzes each bit of data y...FREE DOWNLOAD THE-ULTIMATE-Analytics-Software-Buyer-Guide-2018.pdf
SAND provides comprehensive product documentation as well as excellent customer support.
Data analysts, data scientists, finance groups, marketing and promotion groups, manufacturing and QA groups, billing, taxation and tolling, among many others.
Any ODBC/JDBC interface to reporting and analysis front-ends—such as Microstrategy, Hummingbird, Tableau, and Crystal Reports—as well as an extension to other database systems such as Oracle, SQL Server, and MySQL, as a means to perform faster, in-depth analysis of data that many DBMS struggles with.
Fully supports JDBC/ODBC connectivity.
Yes, SQL with ODBC/JDBC and 'C' function interfaces.
The database itself is highly scalable and supports multi-user connectivity. It is not in itself a service that uses collaboration.
Linux and Windows.
Any and all data collection and analysis activities.