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DBMS > Graph Engine vs. HBase vs. IBM Db2 warehouse vs. RavenDB

System Properties Comparison Graph Engine vs. HBase vs. IBM Db2 warehouse vs. RavenDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHBase  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineWide-column store based on Apache Hadoop and on concepts of BigTableCloud-based data warehousing serviceOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
Key-value store
Wide column storeRelational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.graphengine.iohbase.apache.orgwww.ibm.com/­products/­db2/­warehouseravendb.net
Technical documentationwww.graphengine.io/­docs/­manualhbase.apache.org/­book.htmlravendb.net/­docs
DeveloperMicrosoftApache Software Foundation infoApache top-level project, originally developed by PowersetIBMHibernating Rhinos
Initial release2010200820142010
Current release2.3.4, January 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache version 2commercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaC#
Server operating systems.NETLinux
Unix
Windows infousing Cygwin
hostedLinux
macOS
Raspberry Pi
Windows
Data schemeyesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesno
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 infoImport/export of XML data possible
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyesSQL-like query language (RQL)
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
Thrift
.NET Client API
JDBC
ODBC
OLE DB
.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#
C++
F#
Visual Basic
C
C#
C++
Groovy
Java
PHP
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infoCoprocessors in JavaPL/SQL, SQL PLyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual 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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
Graph Engine infoformer name: TrinityHBaseIBM Db2 warehouse infoformerly named IBM dashDBRavenDB
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