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DBMS > Apache IoTDB vs. GigaSpaces vs. Heroic vs. OrientDB

System Properties Comparison Apache IoTDB vs. GigaSpaces vs. Heroic vs. OrientDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHeroic  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelTime Series DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websiteiotdb.apache.orgwww.gigaspaces.comgithub.com/­spotify/­heroicorientdb.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.gigaspaces.com/­latest/­landing.htmlspotify.github.io/­heroicwww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software FoundationGigaspaces TechnologiesSpotifyOrientDB LTD; CallidusCloud; SAP
Initial release2018200020142010
Current release1.1.0, April 202315.5, September 20203.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJavaJava
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL-like query languageSQL-99 for query and DML statementsnoSQL-like query language, no joins
APIs and other access methodsJDBC
Native API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C++
Java
Python
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyesnoJava, Javascript
Triggersyesyes, event driven architecturenoHooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyes infoMap-Reduce pattern can be built with XAP task executorsnono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesno
User concepts infoAccess controlyesRole-based access controlAccess rights for users and roles; record level security configurable

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More resources
Apache IoTDBGigaSpacesHeroicOrientDB
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