DBMS > Geode vs. Hyprcubd vs. Lovefield
System Properties Comparison Geode vs. Hyprcubd vs. Lovefield
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|Editorial information provided by DB-Engines
|Geode Xexclude from comparison
|Hyprcubd Xexclude from comparison
|Lovefield Xexclude from comparison
|Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
|Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes
|Serverless Time Series DBMS
|Primary database model
|Time Series DBMS
|Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
|1.1, February 2017
|2.1.12, February 2017
|License Commercial or Open Source
|Open Source Apache Version 2; commercial licenses available as Gemfire
|Open Source Apache 2.0
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Server operating systems
|All OS with a Java VM the JDK (8 or later) is also required
|Typing predefined data types such as float or date
|yes time, int, uint, float, string
|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.
|SQL Support of SQL
|SQL-like query language (OQL)
|SQL-like query language
|APIs and other access methods
|Java Client API
RESTful HTTP API
|Supported programming languages
All JVM based languages
|Server-side scripts Stored procedures
|user defined functions
|yes Cache Event Listeners
|Using read-only observers
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|MapReduce Offers an API for user-defined Map/Reduce methods
|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
|yes, on a single node
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|yes, by using IndexedDB or the cloud service Firebase Realtime Database
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|yes using MemoryDB
|User concepts Access control
|Access rights per client and object definable
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|Recent citations in the news
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