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DBMS > HugeGraph vs. InfluxDB vs. RethinkDB vs. RisingWave

System Properties Comparison HugeGraph vs. InfluxDB vs. RethinkDB vs. RisingWave

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInfluxDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDBMS for storing time series, events and metricsDBMS for the Web with a mechanism to push updated query results to applications in realtime.A distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelGraph DBMSTime Series DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score2.84
Rank#106  Overall
#19  Document stores
Score0.58
Rank#245  Overall
#112  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.influxdata.com/­products/­influxdb-overviewrethinkdb.comwww.risingwave.com/­database
Technical documentationhugegraph.apache.org/­docsdocs.influxdata.com/­influxdbrethinkdb.com/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperBaiduThe Linux Foundation infosince July 2017RisingWave Labs
Initial release2018201320092022
Current release0.92.7.5, January 20242.4.1, August 20201.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2Open Source infoApache Version 2.0
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 languageJavaGoC++Rust
Server operating systemsLinux
macOS
Unix
Linux
OS X infothrough Homebrew
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes infostring, binary, float, bool, date, geometryStandard SQL-types and JSON
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 indexesyes infoalso supports composite index and range indexnoyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JSON over UDP
JDBC
PostgreSQL wire protocol
Supported programming languagesGroovy
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoUDFs in Python or Java
TriggersnonoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoin enterprise version onlySharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC based
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.yesyes infoDepending on used storage enginenoyes
User concepts infoAccess controlUsers, roles and permissionssimple rights management via user accountsyes infousers and table-level permissionsUsers and Roles
More information provided by the system vendor
HugeGraphInfluxDBRethinkDBRisingWave
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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