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DBMS > Apache Druid vs. BaseX vs. BoltDB vs. Firebird vs. Teradata Aster

System Properties Comparison Apache Druid vs. BaseX vs. BoltDB vs. Firebird vs. Teradata Aster

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBaseX  Xexclude from comparisonBoltDB  Xexclude from comparisonFirebird  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.An embedded key-value store for Go.Firebird is an open source RDBMS forked from Borland's InterBasePlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMS
Time Series DBMS
Native XML DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score20.50
Rank#30  Overall
#18  Relational DBMS
Websitedruid.apache.orgbasex.orggithub.com/­boltdb/­boltwww.firebirdsql.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.basex.orgwww.firebirdsql.org/­en/­reference-manuals
DeveloperApache Software Foundation and contributorsBaseX GmbHFirebird FoundationTeradata
Initial release2012200720132000 infoAs fork of Borland's InterBase2005
Current release29.0.1, April 202411.0, June 20245.0.0, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD licenseOpen Source infoMIT LicenseOpen Source infoInitial Developer's Public Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC and C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesnoyesyes
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 infoin Aster File Store
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL for queryingnonoyesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
GoC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesnoPSQLR packages
Triggersnoyes infovia eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenoneSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writeryesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
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.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization concept on 4 levelsnoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Apache DruidBaseXBoltDBFirebirdTeradata Aster
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