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DBMS > Apache IoTDB vs. Ingres vs. Stardog vs. VelocityDB

System Properties Comparison Apache IoTDB vs. Ingres vs. Stardog vs. VelocityDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonIngres  Xexclude from comparisonStardog  Xexclude from comparisonVelocityDB  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 FlinkWell established RDBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
RDF store
Graph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websiteiotdb.apache.orgwww.actian.com/­databases/­ingreswww.stardog.comvelocitydb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.actian.com/­ingresdocs.stardog.comvelocitydb.com/­UserGuide
DeveloperApache Software FoundationActian CorporationStardog-UnionVelocityDB Inc
Initial release20181974 infooriginally developed at University Berkely in early 1970s20102011
Current release1.1.0, April 202311.2, May 20227.3.0, May 20207.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaC#
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Windows
Any that supports .NET
Data schemeyesyesschema-free and OWL/RDFS-schema supportyes
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 infobut tools for importing/exporting data from/to XML-files availableno infoImport/export of XML data possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL-like query languageyesYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJDBC
Native API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
.Net
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
Server-side scripts infoStored proceduresyesyesuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyesyesyes infovia event handlersCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning infoIngres Star to access multiple databases simultaneouslynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasIngres ReplicatorMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
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.yesnoyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights for users and rolesBased on Windows Authentication

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More resources
Apache IoTDBIngresStardogVelocityDB
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