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DBMS > RavenDB vs. Teradata vs. TinkerGraph vs. VoltDB

System Properties Comparison RavenDB vs. Teradata vs. TinkerGraph vs. VoltDB

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Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonTeradata  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA hybrid cloud data analytics software platform (Teradata Vantage)A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIDistributed 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 modelDocument storeRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.92
Rank#101  Overall
#18  Document stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websiteravendb.netwww.teradata.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.voltdb.com
Technical documentationravendb.net/­docsdocs.teradata.comdocs.voltdb.com
DeveloperHibernating RhinosTeradataVoltDB Inc.
Initial release2010198420092010
Current release5.4, July 2022Teradata Vantage 1.0 MU2, January 201911.3, April 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availablecommercialOpen 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

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Implementation languageC#JavaJava, C++
Server operating systemsLinux
macOS
Raspberry Pi
Windows
hosted
Linux
Linux
OS X infofor development
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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.yesno
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexnoyes
SQL infoSupport of SQLSQL-like query language (RQL)yes infoSQL 2016 + extensionsnoyes infoonly a subset of SQL 99
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
TinkerPop 3Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Groovy
Java
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesyes infoUDFs, stored procedures, table functions in parallelnoJava
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault 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 Consistencynone
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesoptionalyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAuthorization levels configured per client per databasefine grained access rights according to SQL-standardnoUsers and roles with access to stored procedures

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More resources
RavenDBTeradataTinkerGraphVoltDB
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