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DBMS > DataFS vs. HugeGraph vs. QuestDB vs. RavenDB

System Properties Comparison DataFS vs. HugeGraph vs. QuestDB vs. RavenDB

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonHugeGraph  Xexclude from comparisonQuestDB  Xexclude from comparisonRavenDB  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 fast-speed and highly-scalable Graph DBMSA high performance open source SQL database for time series dataOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelObject oriented DBMSGraph DBMSTime Series DBMSDocument store
Secondary database modelsGraph DBMSRelational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitenewdatabase.comgithub.com/­hugegraph
hugegraph.apache.org
questdb.ioravendb.net
Technical documentationdev.mobiland.com/­Overview.xsphugegraph.apache.org/­docsquestdb.io/­docsravendb.net/­docs
DeveloperMobiland AGBaiduQuestDB Technology IncHibernating Rhinos
Initial release2018201820142010
Current release1.1.263, October 20220.95.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava (Zero-GC), C++, RustC#
Server operating systemsWindowsLinux
macOS
Unix
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLnonoSQL with time-series extensionsSQL-like query language (RQL)
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
Groovy
Java
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyes
Triggersno, except callback-events from server when changes happenednonoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication with eventual consistencyMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesACID, Cluster-wide transaction available
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.noyesyes infothrough memory mapped files
User concepts infoAccess controlWindows-ProfileUsers, roles and permissionsAuthorization levels configured per client per database
More information provided by the system vendor
DataFSHugeGraphQuestDBRavenDB
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
DataFSHugeGraphQuestDBRavenDB
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