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DBMS > AgensGraph vs. RavenDB vs. Trafodion vs. VoltDB

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

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonRavenDB  Xexclude from comparisonTrafodion  Xexclude from comparisonVoltDB  Xexclude from comparison
Apache Trafodion has been retired in 2021. 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 DatabaseTransactional SQL-on-Hadoop DBMSDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelGraph DBMS
Relational DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Score1.46
Rank#159  Overall
#74  Relational DBMS
Websitebitnine.net/­agensgraphravendb.nettrafodion.apache.orgwww.voltdb.com
Technical documentationbitnine.net/­documentationravendb.net/­docstrafodion.apache.org/­documentation.htmldocs.voltdb.com
DeveloperBitnine Global Inc.Hibernating RhinosApache Software Foundation, originally developed by HPVoltDB Inc.
Initial release2016201020142010
Current release2.1, December 20185.4, July 20222.3.0, February 201911.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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 languageCC#C++, JavaJava, C++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
LinuxLinux
OS X infofor development
Data schemedepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language (RQL)yesyes infoonly a subset of SQL 99
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
ADO.NET
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesyesJava Stored ProceduresJava
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyes, via HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia user defined functions and HBaseno
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 integrityyesnoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthorization levels configured per client per databasefine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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More resources
AgensGraphRavenDBTrafodionVoltDB
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