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DBMS > Dgraph vs. Graphite vs. GridDB vs. Ignite

System Properties Comparison Dgraph vs. Graphite vs. GridDB vs. Ignite

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGraphite  Xexclude from comparisonGridDB  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperScalable in-memory time series database optimized for IoT and Big DataApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelGraph DBMSTime Series DBMSTime Series DBMSKey-value store
Relational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score4.75
Rank#75  Overall
#5  Time Series DBMS
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Websitedgraph.iogithub.com/­graphite-project/­graphite-webgriddb.netignite.apache.org
Technical documentationdgraph.io/­docsgraphite.readthedocs.iodocs.griddb.netapacheignite.readme.io/­docs
DeveloperDgraph Labs, Inc.Chris DavisToshiba CorporationApache Software Foundation
Initial release2016200620132015
Current release5.1, August 2022Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoPythonC++C++, Java, .Net
Server operating systemsLinux
OS X
Windows
Linux
Unix
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes 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.nononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoSQL92, SQL-like TQL (Toshiba Query Language)ANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
HTTP API
Sockets
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnononoyes (compute grid and cache interceptors can be used instead)
Triggersnonoyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesyesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftnoneSource-replica replicationyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlno infoPlanned for future releasesnoAccess rights for users can be defined per databaseSecurity Hooks for custom implementations
More information provided by the system vendor
DgraphGraphiteGridDBIgnite
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
DgraphGraphiteGridDBIgnite
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