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DBMS > BaseX vs. Geode vs. Google Cloud Bigtable vs. Teradata

System Properties Comparison BaseX vs. Geode vs. Google Cloud Bigtable vs. Teradata

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelNative XML DBMSKey-value storeKey-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitebasex.orggeode.apache.orgcloud.google.com/­bigtablewww.teradata.com
Technical documentationdocs.basex.orggeode.apache.org/­docscloud.google.com/­bigtable/­docsdocs.teradata.com
DeveloperBaseX GmbHOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleTeradata
Initial release2007200220151984
Current release11.0, June 20241.1, February 2017Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredhostedhosted
Linux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesnoyes
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.nonoyes
Secondary indexesyesnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoSQL-like query language (OQL)noyes infoSQL 2016 + extensions
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Java Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsnoyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infovia eventsyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writeryes, on a single nodeAtomic single-row operationsACID
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.yesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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BaseXGeodeGoogle Cloud BigtableTeradata
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