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DBMS > AgensGraph vs. RavenDB vs. VoltDB vs. Yanza

System Properties Comparison AgensGraph vs. RavenDB vs. VoltDB vs. Yanza

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonRavenDB  Xexclude from comparisonVoltDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memoryTime Series DBMS for IoT Applications
Primary database modelGraph DBMS
Relational DBMS
Document storeRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitebitnine.net/­agensgraphravendb.netwww.voltdb.comyanza.com
Technical documentationbitnine.net/­documentationravendb.net/­docsdocs.voltdb.com
DeveloperBitnine Global Inc.Hibernating RhinosVoltDB Inc.Yanza
Initial release2016201020102015
Current release2.1, December 20185.4, July 202211.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editionscommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC#Java, C++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X infofor development
Windows
Data schemedepending on used data modelschema-freeyesschema-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.nono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like query language (RQL)yes infoonly a subset of SQL 99no
APIs and other access methodsCypher Query Language
JDBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC
Java
JavaScript
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesyesJavano
Triggersnoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Immediate Consistency
Foreign keys infoReferential integrityyesnono infoFOREIGN KEY constraints are not supportedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableACID infoTransactions are executed single-threaded within stored proceduresno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthorization levels configured per client per databaseUsers and roles with access to stored proceduresno

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More resources
AgensGraphRavenDBVoltDBYanza
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