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DBMS > Apache IoTDB vs. Apache Pinot vs. Blazegraph vs. Qdrant vs. SWC-DB

System Properties Comparison Apache IoTDB vs. Apache Pinot vs. Blazegraph vs. Qdrant vs. SWC-DB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonApache Pinot  Xexclude from comparisonBlazegraph  Xexclude from comparisonQdrant  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
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 FlinkRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A high-performance vector database with neural network or semantic-based matchingA high performance, scalable Wide Column DBMS
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
RDF store
Vector DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteiotdb.apache.orgpinot.apache.orgblazegraph.comgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.pinot.apache.orgwiki.blazegraph.comqdrant.tech/­documentation
DeveloperApache Software FoundationApache Software Foundation and contributorsBlazegraphQdrantAlex Kashirin
Initial release20182015200620212020
Current release1.1.0, April 20231.0.0, September 20232.1.5, March 20190.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoextended commercial license availableOpen Source infoApache Version 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaRustC++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java JDK11 or higherLinux
OS X
Windows
Docker
Linux
macOS
Windows
Linux
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infoRDF literal typesNumbers, Strings, Geo, Boolean
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 indexesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSPARQL is used as query languagenoSQL-like query language
APIs and other access methodsJDBC
Native API
JDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Proprietary protocol
Thrift
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go
Java
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Server-side scripts infoStored proceduresyesyesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesCollection-level replication
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 Consistency or Eventual Consistency depending on configurationEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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 controlyesSecurity and Authentication via Web Application Container (Tomcat, Jetty)Key-based authentication

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More resources
Apache IoTDBApache PinotBlazegraphQdrantSWC-DB infoSuper Wide Column Database
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