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DBMS > BaseX vs. Databricks vs. FatDB vs. HarperDB vs. ObjectBox

System Properties Comparison BaseX vs. Databricks vs. FatDB vs. HarperDB vs. ObjectBox

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonDatabricks  Xexclude from comparisonFatDB  Xexclude from comparisonHarperDB  Xexclude from comparisonObjectBox  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Extremely fast embedded database for small devices, IoT and Mobile
Primary database modelNative XML DBMSDocument store
Relational DBMS
Document store
Key-value store
Document storeObject oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitebasex.orgwww.databricks.comwww.harperdb.ioobjectbox.io
Technical documentationdocs.basex.orgdocs.databricks.comdocs.harperdb.io/­docsdocs.objectbox.io
DeveloperBaseX GmbHDatabricksFatCloudHarperDBObjectBox Limited
Initial release20072013201220172017
Current release10.7, August 20233.1, August 2021
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialcommercialcommercial infofree community edition availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#Node.jsC and C++
Server operating systemsLinux
OS X
Windows
hostedWindowsLinux
OS X
Android
iOS
Linux
macOS
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freedynamic schemayes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyes infoJSON data typesyes
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.yesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnowith Databricks SQLno infoVia inetgration in SQL ServerSQL-like data manipulation statementsno
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary native API
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Python
R
Scala
C#.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyes infovia applicationsCustom Functions infosince release 3.1no
Triggersyes infovia eventsyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factoryes infothe nodes on which a table resides can be definedonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDnoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsno infoCan implement custom security layer via applicationsAccess rights for users and rolesyes
More information provided by the system vendor
BaseXDatabricksFatDBHarperDBObjectBox
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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