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DBMS > HugeGraph vs. LevelDB vs. RavenDB vs. VictoriaMetrics

System Properties Comparison HugeGraph vs. LevelDB vs. RavenDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonLevelDB  Xexclude from comparisonRavenDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelGraph DBMSKey-value storeDocument storeTime Series DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score2.92
Rank#101  Overall
#18  Document stores
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
github.com/­google/­leveldbravendb.netvictoriametrics.com
Technical documentationhugegraph.apache.org/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperBaiduGoogleHibernating RhinosVictoriaMetrics
Initial release2018201120102018
Current release0.91.23, February 20215.4, July 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDOpen Source infoAGPL version 3, commercial license availableOpen 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 languageJavaC++C#Go
Server operating systemsLinux
macOS
Unix
Illumos
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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 indexesyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLnonoSQL-like query language (RQL)no
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesGroovy
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneMulti-source replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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.Eventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers, roles and permissionsnoAuthorization levels configured per client per database

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More resources
HugeGraphLevelDBRavenDBVictoriaMetrics
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