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DBMS > DataFS vs. Pinecone vs. QuestDB vs. TinkerGraph

System Properties Comparison DataFS vs. Pinecone vs. QuestDB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonPinecone  Xexclude from comparisonQuestDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A managed, cloud-native vector databaseA high performance open source SQL database for time series dataA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelObject oriented DBMSVector DBMSTime Series DBMSGraph DBMS
Secondary database modelsGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitenewdatabase.comwww.pinecone.ioquestdb.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdev.mobiland.com/­Overview.xspdocs.pinecone.io/­docs/­overviewquestdb.io/­docs
DeveloperMobiland AGPinecone Systems, IncQuestDB Technology Inc
Initial release2018201920142009
Current release1.1.263, October 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava (Zero-GC), C++, RustJava
Server operating systemsWindowshostedLinux
macOS
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesyes
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.nononono
Secondary indexesnonono
SQL infoSupport of SQLnonoSQL with time-series extensionsno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
TinkerPop 3
Supported programming languages.Net
C
C#
C++
VB.Net
PythonC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Groovy
Java
Server-side scripts infoStored proceduresnono
Triggersno, except callback-events from server when changes happenednono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesno
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.nonoyes infothrough memory mapped filesyes
User concepts infoAccess controlWindows-Profileno
More information provided by the system vendor
DataFSPineconeQuestDBTinkerGraph
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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More resources
DataFSPineconeQuestDBTinkerGraph
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