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DBMS > AgensGraph vs. Dgraph vs. eXtremeDB vs. Pinecone vs. Transbase

System Properties Comparison AgensGraph vs. Dgraph vs. eXtremeDB vs. Pinecone vs. Transbase

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDgraph  Xexclude from comparisoneXtremeDB  Xexclude from comparisonPinecone  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLDistributed and scalable native Graph DBMSNatively in-memory DBMS with options for persistency, high-availability and clusteringA managed, cloud-native vector databaseA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelGraph DBMS
Relational DBMS
Graph DBMSRelational DBMS
Time Series DBMS
Vector DBMSRelational 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
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitebitnine.net/­agensgraphdgraph.iowww.mcobject.comwww.pinecone.iowww.transaction.de/­en/­products/­transbase.html
Technical documentationbitnine.net/­documentationdgraph.io/­docswww.mcobject.com/­docs/­extremedb.htmdocs.pinecone.io/­docs/­overviewwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperBitnine Global Inc.Dgraph Labs, Inc.McObjectPinecone Systems, IncTransaction Software GmbH
Initial release20162016200120191987
Current release2.1, December 20188.2, 2021Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercialcommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC and C++C and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
hostedFreeBSD
Linux
macOS
Solaris
Windows
Data schemedepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesString, Number, Booleanyes
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 infosupport of XML interfaces availablenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyes infowith the option: eXtremeSQLnoyes
APIs and other access methodsCypher Query Language
JDBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
Java
JavaScript
Python
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
PythonC
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesnoyesyes
Triggersnonoyes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceyeshorizontal partitioning / sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication via RaftActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesfine grained access rights according to SQL-standard
More information provided by the system vendor
AgensGraphDgrapheXtremeDBPineconeTransbase
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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AgensGraphDgrapheXtremeDBPineconeTransbase
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