DBMS > GridGain vs. Kdb
System Properties Comparison GridGain vs. Kdb
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines
|GridGain Xexclude from comparison
|Kdb Xexclude from comparison
|GridGain is an in-memory computing platform, built on Apache Ignite
|High performance Time Series DBMS
|Primary database model
|Time Series DBMS
|Secondary database models
|GridGain Systems, Inc.
|Kx Systems, a division of First Derivatives plc
|2000 kdb was released 2000, kdb+ in 2003
|3.6, May 2018
|License Commercial or Open Source
|commercial free 32-bit version
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
Providers of DBaaS offerings, please contact us to be listed.
|Java, C++, .Net
|Server operating systems
|Typing predefined data types such as float or date
|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.
|yes table attribute 'grouped'
|SQL Support of SQL
|ANSI-99 for query and DML statements, subset of DDL
|SQL-like query language (q)
|APIs and other access methods
RESTful HTTP API
|Supported programming languages
|Server-side scripts Stored procedures
|yes (compute grid and cache interceptors can be used instead)
|user defined functions
|yes (cache interceptors and events)
|yes with views
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|yes (replicated cache)
|MapReduce Offers an API for user-defined Map/Reduce methods
|yes (compute grid and hadoop accelerator)
|no similar paradigm used for internal processing
|Consistency concepts Methods to ensure consistency in a distributed system
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|Security Hooks for custom implementations
|rights management via user accounts
|More information provided by the system vendor
|Integrated columnar database & programming system for streaming, real time and historical...
|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...
|Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
|kdb+ performance and reliability proven by our customers in critical infrastructure...
|Licensing and pricing models
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Recent citations in the news
GridGain's 2023 Growth Positions Company for Strong 2024
GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2024
GridGain Showcases Power of Apache Ignite at Community Over Code Conference
Ignite Summit 2024: Share Your Apache Ignite Expertise and Experience
GridGain: Product Overview and Analysis
provided by Google News
KX ANNOUNCES KDB INSIGHTS AS FULLY MANAGED SERVICE ON AMAZON FINSPACE
McLaren Applied and KX partner to enhance ATLAS software analytics capabilities
KX Brings the Power and Performance of Kdb+ to Python Developers With PyKX
The coding language you can learn in months for top finance jobs
provided by Google News
Share this page