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DBMS > Hyprcubd vs. JanusGraph vs. LeanXcale vs. SiteWhere vs. Vitess

System Properties Comparison Hyprcubd vs. JanusGraph vs. LeanXcale vs. SiteWhere vs. Vitess

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLeanXcale  Xexclude from comparisonSiteWhere  Xexclude from comparisonVitess  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesM2M integration platform for persisting/querying time series dataScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSGraph DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitehyprcubd.com (offline)janusgraph.orgwww.leanxcale.comgithub.com/­sitewhere/­sitewherevitess.io
Technical documentationdocs.janusgraph.orgsitewhere1.sitewhere.io/­index.htmlvitess.io/­docs
DeveloperHyprcubd, Inc.Linux Foundation; originally developed as Titan by AureliusLeanXcaleSiteWhereThe Linux Foundation, PlanetScale
Initial release2017201520102013
Current release0.6.3, February 202315.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaGo
Server operating systemshostedLinux
OS X
Unix
Windows
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesyesyespredefined schemeyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyesyes
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 indexesnoyesnoyes
SQL infoSupport of SQLSQL-like query languagenoyes infothrough Apache Derbynoyes infowith proprietary extensions
APIs and other access methodsgRPC (https)Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesClojure
Java
Python
C
Java
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesyes infoproprietary syntax
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datanoyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controltoken accessUser authentification and security via Rexster Graph ServerUsers with fine-grained authorization conceptUsers with fine-grained authorization concept infono user groups or roles

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More resources
HyprcubdJanusGraph infosuccessor of TitanLeanXcaleSiteWhereVitess
Recent citations in the news

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

Database Deep Dives: JanusGraph
8 August 2019, ibm.com

From graph db to graph embedding. In 7 simple steps. | by Andy Greatorex
30 July 2020, Towards Data Science

Compose for JanusGraph arrives on Bluemix
15 September 2017, ibm.com

Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph
3 October 2019, The New Stack

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SiteWhere: An open platform for connected devices
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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

provided by Google News



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