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DBMS > Databend vs. Graph Engine vs. GridDB vs. H2 vs. Heroic

System Properties Comparison Databend vs. Graph Engine vs. GridDB vs. H2 vs. Heroic

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridDB  Xexclude from comparisonH2  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineScalable in-memory time series database optimized for IoT and Big DataFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSGraph DBMS
Key-value store
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.graphengine.iogriddb.netwww.h2database.comgithub.com/­spotify/­heroic
Technical documentationdocs.databend.comwww.graphengine.io/­docs/­manualdocs.griddb.netwww.h2database.com/­html/­main.htmlspotify.github.io/­heroic
DeveloperDatabend LabsMicrosoftToshiba CorporationThomas MuellerSpotify
Initial release20212010201320052014
Current release1.0.59, April 20235.1, August 20222.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRust.NET and CC++JavaJava
Server operating systemshosted
Linux
macOS
.NETLinuxAll OS with a Java VM
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nonononono
Secondary indexesnoyesyesyes infovia Elasticsearch
SQL infoSupport of SQLyesnoSQL92, SQL-like TQL (Toshiba Query Language)yesno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
F#
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresnoyesnoJava Stored Procedures and User-Defined Functionsno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID at container levelACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
DatabendGraph Engine infoformer name: TrinityGridDBH2Heroic
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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More resources
DatabendGraph Engine infoformer name: TrinityGridDBH2Heroic
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