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DBMS > HugeGraph vs. LevelDB vs. Oracle vs. RavenDB

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

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonLevelDB  Xexclude from comparisonOracle  Xexclude from comparisonRavenDB  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 valuesWidely used RDBMSOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMSKey-value storeRelational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#340  Overall
#31  Graph DBMS
Score3.32
Rank#100  Overall
#16  Key-value stores
Score1221.06
Rank#1  Overall
#1  Relational DBMS
Score3.47
Rank#95  Overall
#16  Document stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
github.com/­google/­leveldbwww.oracle.com/­databaseravendb.net
Technical documentationhugegraph.apache.org/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.oracle.com/­en/­databaseravendb.net/­docs
DeveloperBaiduGoogleOracleHibernating Rhinos
Initial release2018201119802010
Current release0.91.23, February 202123c, September 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDcommercial inforestricted free version is availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++C#
Server operating systemsLinux
macOS
Unix
Illumos
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeyes infoSchemaless in JSON and XML columnsschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonoyes
Secondary indexesyes infoalso supports composite index and range indexnoyesyes
SQL infoSupport of SQLnonoyes infowith proprietary extensionsSQL-like query language (RQL)
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
.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 languagesGroovy
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoPL/SQL infoalso stored procedures in Java possibleyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono infocan be realized in PL/SQLyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate 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 integrityyes infoedges in graphnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoisolation level can be parameterizedACID, Cluster-wide transaction available
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.yesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlUsers, roles and permissionsnofine grained access rights according to SQL-standardAuthorization levels configured per client per database

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