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DBMS > BaseX vs. Google BigQuery vs. TerarkDB vs. Warp 10 vs. Yaacomo

System Properties Comparison BaseX vs. Google BigQuery vs. TerarkDB vs. Warp 10 vs. Yaacomo

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonTerarkDB  Xexclude from comparisonWarp 10  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Large scale data warehouse service with append-only tablesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelNative XML DBMSRelational DBMSKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitebasex.orgcloud.google.com/­bigquerygithub.com/­bytedance/­terarkdbwww.warp10.ioyaacomo.com
Technical documentationdocs.basex.orgcloud.google.com/­bigquery/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcwww.warp10.io/­content/­02_Getting_started
DeveloperBaseX GmbHGoogleByteDance, originally TerarkSenXQ2WEB GmbH
Initial release20072010201620152009
Current release10.7, August 2023
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialcommercial inforestricted open source version availableOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Android
Linux
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesnoyesyes
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.nononono
Secondary indexesyesnononoyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
RESTful HTTP/JSON APIC++ API
Java API
HTTP API
Jupyter
WebSocket
JDBC
ODBC
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptnoyes infoWarpScript
Triggersyes infovia eventsnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factor infobased on HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerno infoSince BigQuery is designed for querying datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noMandatory use of cryptographic tokens, containing fine-grained authorizationsfine grained access rights according to SQL-standard

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More resources
BaseXGoogle BigQueryTerarkDBWarp 10Yaacomo
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