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DBMS > H2 vs. HugeGraph vs. RavenDB vs. Riak KV

System Properties Comparison H2 vs. HugeGraph vs. RavenDB vs. Riak KV

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHugeGraph  Xexclude from comparisonRavenDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A fast-speed and highly-scalable Graph DBMSOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDistributed, fault tolerant key-value store
Primary database modelRelational DBMSGraph DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Score4.44
Rank#80  Overall
#9  Key-value stores
Websitewww.h2database.comgithub.com/­hugegraph
hugegraph.apache.org
ravendb.net
Technical documentationwww.h2database.com/­html/­main.htmlhugegraph.apache.org/­docsravendb.net/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperThomas MuellerBaiduHibernating RhinosOpenSource, formerly Basho Technologies
Initial release2005201820102009
Current release2.2.220, July 20230.95.4, July 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#Erlang
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 indexesyesyes infoalso supports composite index and range indexyesrestricted
SQL infoSupport of SQLyesnoSQL-like query language (RQL)no
APIs and other access methodsJDBC
ODBC
Java 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
HTTP API
Native Erlang Interface
Supported programming languagesJavaGroovy
Java
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsasynchronous Gremlin script jobsyesErlang
Triggersyesnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 integrityyesyes infoedges in graphnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsAuthorization levels configured per client per databaseyes, using Riak Security

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H2HugeGraphRavenDBRiak KV
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