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DBMS > Apache Drill vs. BaseX vs. Google Cloud Firestore vs. Kinetica vs. MarkLogic

System Properties Comparison Apache Drill vs. BaseX vs. Google Cloud Firestore vs. Kinetica vs. MarkLogic

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonBaseX  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Fully vectorized database across both GPUs and CPUsOperational and transactional Enterprise NoSQL database
Primary database modelDocument store
Relational DBMS
Native XML DBMSDocument storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websitedrill.apache.orgbasex.orgfirebase.google.com/­products/­firestorewww.kinetica.comwww.marklogic.com
Technical documentationdrill.apache.org/­docsdocs.basex.orgfirebase.google.com/­docs/­firestoredocs.kinetica.comdocs.marklogic.com
DeveloperApache Software FoundationBaseX GmbHGoogleKineticaMarkLogic Corp.
Initial release20122007201720122001
Current release1.20.3, January 202310.7, August 20237.1, August 202111.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD licensecommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
hostedLinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyesyes
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.nononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnonoSQL-like DML and DDL statementsyes infoSQL92
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesC++Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesyes, Firebase Rules & Cloud Functionsuser defined functionsyes infovia XQuery or JavaScript
Triggersnoyes infovia eventsyes, with Cloud Functionsyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoUsing Cloud Dataflownoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writeryesnoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes infoGPU vRAM or System RAMyes, with Range Indexes
User concepts infoAccess controlDepending on the underlying data sourceUsers with fine-grained authorization concept on 4 levelsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users and roles on table levelRole-based access control at the document and subdocument levels

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More resources
Apache DrillBaseXGoogle Cloud FirestoreKineticaMarkLogic
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