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DBMS > AgensGraph vs. eXtremeDB vs. LeanXcale vs. RavenDB

System Properties Comparison AgensGraph vs. eXtremeDB vs. LeanXcale vs. RavenDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisoneXtremeDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLNatively in-memory DBMS with options for persistency, high-availability and clusteringA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Document store
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
Score0.73
Rank#227  Overall
#104  Relational DBMS
#18  Time Series DBMS
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Websitebitnine.net/­agensgraphwww.mcobject.comwww.leanxcale.comravendb.net
Technical documentationbitnine.net/­documentationwww.mcobject.com/­docs/­extremedb.htmravendb.net/­docs
DeveloperBitnine Global Inc.McObjectLeanXcaleHibernating Rhinos
Initial release2016200120152010
Current release2.1, December 20188.2, 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoAGPL version 3, commercial license available
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 and C++C#
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemedepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 infosupport of XML interfaces available
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLyes infothrough Apache DerbySQL-like query language (RQL)
APIs and other access methodsCypher Query Language
JDBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
.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
.Net
C
C#
C++
Java
Lua
Python
Scala
C
Java
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesyes
Triggersnoyes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyes
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-standardAuthorization levels configured per client per database
More information provided by the system vendor
AgensGrapheXtremeDBLeanXcaleRavenDB
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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More resources
AgensGrapheXtremeDBLeanXcaleRavenDB
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