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DBMS > AgensGraph vs. Drizzle vs. HugeGraph vs. HyperSQL vs. RavenDB

System Properties Comparison AgensGraph vs. Drizzle vs. HugeGraph vs. HyperSQL vs. RavenDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonHugeGraph  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonRavenDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A fast-speed and highly-scalable Graph DBMSMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSGraph DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitebitnine.net/­agensgraphgithub.com/­hugegraph
hugegraph.apache.org
hsqldb.orgravendb.net
Technical documentationbitnine.net/­documentationhugegraph.apache.org/­docshsqldb.org/­web/­hsqlDocsFrame.htmlravendb.net/­docs
DeveloperBitnine Global Inc.Drizzle project, originally started by Brian AkerBaiduHibernating Rhinos
Initial release20162008201820012010
Current release2.1, December 20187.2.4, September 20120.92.7.2, June 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGNU GPLOpen Source infoApache Version 2.0Open Source infobased on BSD licenseOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++JavaJavaC#
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
macOS
Unix
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
macOS
Raspberry Pi
Windows
Data schemedepending on used data modelyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoyesSQL-like query language (RQL)
APIs and other access methodsCypher Query Language
JDBC
JDBCJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API infoJDBC via HTTP
JDBC
ODBC
.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 languagesC
Java
JavaScript
Python
C
C++
Java
PHP
Groovy
Java
Python
All languages supporting JDBC/ODBC
Java
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoasynchronous Gremlin script jobsJava, SQLyes
Triggersnono infohooks for callbacks inside the server can be used.noyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBasenoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 integrityyesyesyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissionsfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
AgensGraphDrizzleHugeGraphHyperSQL infoalso known as HSQLDBRavenDB
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