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DBMS > HBase vs. Hive vs. IRONdb vs. TerminusDB vs. Vitess

System Properties Comparison HBase vs. Hive vs. IRONdb vs. TerminusDB vs. Vitess

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHive  Xexclude from comparisonIRONdb  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVitess  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTabledata 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 simplicityScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelWide column storeRelational DBMSTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
RDF store
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitehbase.apache.orghive.apache.orgwww.circonus.com/solutions/time-series-database/terminusdb.comvitess.io
Technical documentationhbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.circonus.com/irondb/category/getting-startedterminusdb.github.io/­terminusdb/­#vitess.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookCirconus LLC.DataChemist Ltd.The Linux Foundation, PlanetScale
Initial release20082012201720182013
Current release2.3.4, January 20213.1.3, April 2022V0.10.20, January 201811.0.0, January 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2commercialOpen Source infoGPL V3Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++Prolog, RustGo
Server operating systemsLinux
Unix
Windows infousing Cygwin
All OS with a Java VMLinuxLinuxDocker
Linux
macOS
Data schemeschema-free, schema definition possibleyesschema-freeyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes infotext, numeric, histogramsyesyes
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 indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language (WOQL)yes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
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
JavaScript
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceyes, in Luayesyes infoproprietary syntax
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodeGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorconfigurable replication factor, datacenter awareJournaling StreamsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nonoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesnoRole-based access controlUsers with fine-grained authorization concept infono user groups or roles

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More resources
HBaseHiveIRONdbTerminusDB infoformer name was DataChemistVitess
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