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DBMS > BaseX vs. Google Cloud Spanner vs. HBase vs. SurrealDB vs. TimesTen

System Properties Comparison BaseX vs. Google Cloud Spanner vs. HBase vs. SurrealDB vs. TimesTen

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHBase  Xexclude from comparisonSurrealDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Wide-column store based on Apache Hadoop and on concepts of BigTableA fully ACID transactional, developer-friendly, multi-model DBMSIn-Memory RDBMS compatible to Oracle
Primary database modelNative XML DBMSRelational DBMSWide column storeDocument store
Graph DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitebasex.orgcloud.google.com/­spannerhbase.apache.orgsurrealdb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.basex.orgcloud.google.com/­spanner/­docshbase.apache.org/­book.htmlsurrealdb.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperBaseX GmbHGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetSurrealDB LtdOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20072017200820221998
Current release11.0, June 20242.3.4, January 2021v1.5.0, May 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialOpen Source infoApache version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaRust
Server operating systemsLinux
OS X
Windows
hostedLinux
Unix
Windows infousing Cygwin
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesoptions to bring your own types, AVROyesyes
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
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011noSQL-like query languageyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
GraphQL
RESTful HTTP API
WebSocket
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
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Deno
Go
JavaScript (Node.js)
Rust
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesnoyes infoCoprocessors in JavaPL/SQL
Triggersyes infovia eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACID infoStrict serializable isolationSingle 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 & ABACyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
BaseXGoogle Cloud SpannerHBaseSurrealDBTimesTen
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