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DBMS > DolphinDB vs. QuestDB vs. Stardog vs. TinkerGraph

System Properties Comparison DolphinDB vs. QuestDB vs. Stardog vs. TinkerGraph

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonQuestDB  Xexclude from comparisonStardog  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A high performance open source SQL database for time series dataEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelTime Series DBMSTime Series DBMSGraph DBMS
RDF store
Graph DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.dolphindb.comquestdb.iowww.stardog.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlquestdb.io/­docsdocs.stardog.com
DeveloperDolphinDB, IncQuestDB Technology IncStardog-Union
Initial release2018201420102009
Current releasev2.00.4, January 20227.3.0, May 2020
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java (Zero-GC), C++, RustJavaJava
Server operating systemsLinux
Windows
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolschema-free and OWL/RDFS-schema supportschema-free
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.nonono infoImport/export of XML data possibleno
Secondary indexesyesnoyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLSQL-like query languageSQL with time-series extensionsYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
TinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresyesnouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnonoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by timestamps)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with eventual consistencyMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Clusternone
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID for single-table writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped filesyesyes
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users and rolesno
More information provided by the system vendor
DolphinDBQuestDBStardogTinkerGraph
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DolphinDBQuestDBStardogTinkerGraph
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