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DBMS > BaseX vs. Google Cloud Bigtable vs. HBase vs. OpenQM vs. TimesTen

System Properties Comparison BaseX vs. Google Cloud Bigtable vs. HBase vs. OpenQM vs. TimesTen

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Wide-column store based on Apache Hadoop and on concepts of BigTableQpenQM is a high-performance, self-tuning, multi-value DBMSIn-Memory RDBMS compatible to Oracle
Primary database modelNative XML DBMSKey-value store
Wide column store
Wide column storeMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitebasex.orgcloud.google.com/­bigtablehbase.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.basex.orgcloud.google.com/­bigtable/­docshbase.apache.org/­book.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperBaseX GmbHGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetRocket Software, originally Martin PhillipsOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20072015200819931998
Current release10.7, August 20232.3.4, January 20213.4-1211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialOpen Source infoApache version 2Open Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
hostedLinux
Unix
Windows infousing Cygwin
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeschema-free, schema definition possibleyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesnooptions to bring your own types, AVROyes
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.nonoyesno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesnoyes infoCoprocessors in JavayesPL/SQL
Triggersyes infovia eventsnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerAtomic single-row operationsSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
BaseXGoogle Cloud BigtableHBaseOpenQM infoalso called QMTimesTen
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