DBMS > Geode vs. Kdb
System Properties Comparison Geode vs. Kdb
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|Editorial information provided by DB-Engines|
|Name||Geode Xexclude from comparison||Kdb Xexclude from comparison|
|Description||Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes||High performance Time Series DBMS|
|Primary database model||Key-value store||Time Series DBMS|
|Secondary database models||Relational DBMS|
|Developer||Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.||Kx Systems, a division of First Derivatives plc|
|Initial release||2002||2000 kdb was released 2000, kdb+ in 2003|
|Current release||1.1, February 2017||3.6, May 2018|
|License Commercial or Open Source||Open Source Apache Version 2; commercial licenses available as Gemfire||commercial free 32-bit version|
|Cloud-based only Only available as a cloud service||no||no|
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|Server operating systems||All OS with a Java VM the JDK (8 or later) is also required||Linux|
|Typing predefined data types such as float or date||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes|
|Secondary indexes||no||yes table attribute 'grouped'|
|SQL Support of SQL||SQL-like query language (OQL)||SQL-like query language (q)|
|APIs and other access methods||Java Client API|
RESTful HTTP API
|Supported programming languages||.Net|
All JVM based languages
|Server-side scripts Stored procedures||user defined functions||user defined functions|
|Triggers||yes Cache Event Listeners||yes with views|
|Partitioning methods Methods for storing different data on different nodes||Sharding||horizontal partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication||Source-replica replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no similar paradigm used for internal processing|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||yes, on a single node||no|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes|
|User concepts Access control||Access rights per client and object definable||rights management via user accounts|
|More information provided by the system vendor|
|Specific characteristics||Integrated columnar database & programming system for streaming, real time and historical...|
|Competitive advantages||provides seamless scalability; runs on industry standard server platforms; is top-ranked...|
|Typical application scenarios||tick database streaming sensor data massive intelligence applications oil and gas...|
|Key customers||Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...|
|Market metrics||kdb+ performance and reliability proven by our customers in critical infrastructure...|
|Licensing and pricing models||upon request|
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