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

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

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHBase  Xexclude from comparisonHive  Xexclude from comparisonIRONdb  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWide-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 relationships
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Wide column storeRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
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
Websitewww.gigaspaces.comhbase.apache.orghive.apache.orgwww.circonus.com/solutions/time-series-database/terminusdb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlhbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.circonus.com/irondb/category/getting-startedterminusdb.github.io/­terminusdb/­#
DeveloperGigaspaces TechnologiesApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookCirconus LLC.DataChemist Ltd.
Initial release20002008201220172018
Current release15.5, September 20202.3.4, January 20213.1.3, April 2022V0.10.20, January 201811.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache version 2Open Source infoApache Version 2commercialOpen Source infoGPL V3
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 languageJava, C++, .NetJavaJavaC and C++Prolog, Rust
Server operating systemsLinux
macOS
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
All OS with a Java VMLinuxLinux
Data schemeschema-freeschema-free, schema definition possibleyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes infotext, numeric, histogramsyes
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.no infoXML can be used for describing objects metadatanonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-99 for query and DML statementsnoSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language (WOQL)
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
C++
Java
Python
Scala
C
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
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceyes, in Luayes
Triggersyes, event driven architectureyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic, metric affinity per nodeGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
selectable replication factorconfigurable replication factor, datacenter awareJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)nonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesnoRole-based access control

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More resources
GigaSpacesHBaseHiveIRONdbTerminusDB infoformer name was DataChemist
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