Sign in to see all reviews and comparisons. It's Free!
MonetDB is a full-fledged relational DBMS that supports SQL:2003 and provides standard client interfaces such as ODBC and JDBC. It is designed to exploit the large main memories of modern computers during query processing.
• Enterprise level features such as clustering, data partitioning, and distributed query processing • Management of External Data (SQL/MED) • Information and Definition Schemas • Routines and Types using the Java Language • Database cracking is a technique that shifts the cost of index maintenance from updates to query processing • Vertical fragmentation ensures that the non-needed attributes are not in the way
• Open source
• Open source
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
What are the benefits?
• Static evaluation: Expressions over functions without side-effect and constant arguments can be evaluated before the program block is considered further • Performs very well with both a simple and complex query with multiple join operations • Combining the efficient XQuery functionality with the spatial module leads to the powerful GML processing solution • Functional behavior: Easily recognize operators with and without side-effects
Aggregated User Rating
Ease of use
Features & Functionality
Renew & Recommend
MonetDB is designed for high performance applications in data mining, business intelligence, OLAP, scientific databases, XML query, text and multimedia retrieval.
Aggregated User Rating
You have rated this
MonetDB is a full-fledged relational DBMS that supports SQL:2003 and provides standard client interfaces such as ODBC and JDBC. It is designed to exploit the large main memories of modern computers during query processing. A rich collection of linked-in libraries provides functionality for temporal data types, math routine, strings, and URLs. MonetDB is built on the canonical representation of database relations as columns, a.k.a. arrays. They are sizeable entities -up to hundreds of megabytes- swapped into memory by the operating system and compressed on disk upon need. MonetDB excels in applications where the database hot-set - the part actually touched - can be largely held in main-memory or where a few columns of a broad relational table are sufficient to handle individual requests. Further exploitation of cache-conscious algorithms proved the validity of these design decisions. MonetDB is designed to accommodate different query languages through its proprietary algebraic-language, called the MonetDB Assembly Language (MAL). The primary front-end being distributed is a SQL to MAL compiler. MonetDB supports a broad palette of application domains by hooking up external supplied libraries, e.g. pcre, raptor, libxml and geos. Several external file formats are being encapsulated into data vaults, which creates a symbiosis and natural bridge between database processing and legacy file-based processing prevalent in some science domains. For fixed width data types, MonetDB uses a plain C array of the respective type to store the value column of a BAT. MonetDb stores each BAT in a single contiguous file, where columnDB partitions those files in large chunks. MonetDB is used worldwide for education, research, and businesses.
Every day, thousands of potential buyers including CEO's, CIO's, Directors, and Executives use PAT RESEARCH.
PAT RESEARCH is a B2B discovery platform which provides Best Practices, Buying Guides, Reviews, Ratings, Comparison, Research, Commentary, and Analysis for Enterprise Software and Services. We provide Best Practices, PAT Index™ enabled product reviews and user review comparisons to help IT decision makers such as CEO’s, CIO’s, Directors, and Executives to identify technologies, software, service and strategies.