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DBMS > Dolt vs. Graph Engine vs. Hive vs. IRONdb

System Properties Comparison Dolt vs. Graph Engine vs. Hive vs. IRONdb

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHive  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginedata warehouse software for querying and managing large distributed datasets, built on HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.graphengine.iohive.apache.orgwww.circonus.com/solutions/time-series-database/
Technical documentationdocs.dolthub.comwww.graphengine.io/­docs/­manualcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.circonus.com/irondb/category/getting-started
DeveloperDoltHub IncMicrosoftApache Software Foundation infoinitially developed by FacebookCirconus LLC.
Initial release2018201020122017
Current release3.1.3, April 2022V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo.NET and CJavaC and C++
Server operating systemsLinux
macOS
Windows
.NETAll OS with a Java VMLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histograms
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsCLI Client
HTTP REST
RESTful HTTP APIJDBC
ODBC
Thrift
HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
F#
Visual Basic
C++
Java
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyesyes infouser defined functions and integration of map-reduceyes, in Lua
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.selectable replication factorconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupAccess rights for users, groups and rolesno

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More resources
DoltGraph Engine infoformer name: TrinityHiveIRONdb
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