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DBMS > GridDB vs. Memgraph vs. OpenQM

System Properties Comparison GridDB vs. Memgraph vs. OpenQM

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMemgraph  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelTime Series DBMSGraph DBMSMultivalue DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#200  Overall
#10  Time Series DBMS
Score0.05
Rank#314  Overall
#30  Graph DBMS
Score0.27
Rank#243  Overall
#10  Multivalue DBMS
Websitegriddb.netmemgraph.comwww.openqm.com
Technical documentationgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.phpdocs.memgraph.comwww.openqm.com/­support/­documentation
DeveloperToshiba CorporationMemgraph LtdMartin Phillips
Initial release201320171993
Current release4.2, June 20193.4-12
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infoFree license availableOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++
Server operating systemsLinuxLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesschema-free and schema-optionalyes infowith some exceptions
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)nono
APIs and other access methodsProprietary protocolBolt protocol
Cypher query language
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnoyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMulti-Master replication using RAFTyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseUsers, roles and permissionsAccess rights can be defined down to the item level
More information provided by the system vendor
GridDBMemgraphOpenQM infoalso called QM
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridDBMemgraphOpenQM infoalso called QM
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