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DBMS > Apache IoTDB vs. Blazegraph vs. FatDB vs. Hive vs. jBASE

System Properties Comparison Apache IoTDB vs. Blazegraph vs. FatDB vs. Hive vs. jBASE

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonFatDB  Xexclude from comparisonHive  Xexclude from comparisonjBASE  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
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 graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A .NET NoSQL DBMS that can integrate with and extend SQL Server.data warehouse software for querying and managing large distributed datasets, built on HadoopA robust multi-value DBMS comprising development tools and middleware
Primary database modelTime Series DBMSGraph DBMS
RDF store
Document store
Key-value store
Relational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websiteiotdb.apache.orgblazegraph.comhive.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwiki.blazegraph.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperApache Software FoundationBlazegraphFatCloudApache Software Foundation infoinitially developed by FacebookRocket Software (formerly Zumasys)
Initial release20182006201220121991
Current release1.1.0, April 20232.1.5, March 20193.1.3, April 20225.7
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availablecommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#Java
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
WindowsAll OS with a Java VMAIX
Linux
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyesoptional
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.noyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSPARQL is used as query languageno infoVia inetgration in SQL ServerSQL-like DML and DDL statementsEmbedded SQL for jBASE in BASIC
APIs and other access methodsJDBC
Native API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
Thrift
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#C++
Java
PHP
Python
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresyesyesyes infovia applicationsyes infouser defined functions and integration of map-reduceyes
Triggersyesnoyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesselectable replication factorselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesSecurity and Authentication via Web Application Container (Tomcat, Jetty)no infoCan implement custom security layer via applicationsAccess rights for users, groups and rolesAccess rights can be defined down to the item level

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More resources
Apache IoTDBBlazegraphFatDBHivejBASE
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