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DBMS > HBase vs. Microsoft Azure Table Storage vs. MonetDB vs. RavenDB

System Properties Comparison HBase vs. Microsoft Azure Table Storage vs. MonetDB vs. RavenDB

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMonetDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA Wide Column Store for rapid development using massive semi-structured datasetsA relational database management system that stores data in columnsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelWide column storeWide column storeRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitehbase.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.monetdb.orgravendb.net
Technical documentationhbase.apache.org/­book.htmlwww.monetdb.org/­Documentationravendb.net/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftMonetDB BVHibernating Rhinos
Initial release2008201220042010
Current release2.3.4, January 2021Dec2023 (11.49), December 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoMozilla Public License 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC#
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-free, schema definition possibleschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesno
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 indexesnonoyesyes
SQL infoSupport of SQLnonoyes infoSQL 2003 with some extensionsSQL-like query language (RQL)
APIs and other access methodsJava API
RESTful HTTP API
Thrift
RESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.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#
C++
Groovy
Java
PHP
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanoyes, in SQL, C, Ryes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none infoSource-replica replication available in experimental statusMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
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 dataSingle row ACID (across millions of columns)optimistic lockingACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
HBaseMicrosoft Azure Table StorageMonetDBRavenDB
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