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DBMS > Apache Druid vs. LeanXcale vs. MarkLogic vs. Oracle Berkeley DB vs. Quasardb

System Properties Comparison Apache Druid vs. LeanXcale vs. MarkLogic vs. Oracle Berkeley DB vs. Quasardb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonLeanXcale  Xexclude from comparisonMarkLogic  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOperational and transactional Enterprise NoSQL databaseWidely used in-process key-value storeDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series 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
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitedruid.apache.orgwww.leanxcale.comwww.marklogic.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.marklogic.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsLeanXcaleMarkLogic Corp.Oracle infooriginally developed by Sleepycat, which was acquired by Oraclequasardb
Initial release20122015200119942009
Current release29.0.1, April 202411.0, December 202218.1.40, May 20203.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial inforestricted free version is availableOpen Source infocommercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesschema-free infoSchema can be enforcedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binary
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.noyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL for queryingyes infothrough Apache Derbyyes infoSQL92yes infoSQL interfaced based on SQLite is availableSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
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
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptnono
Triggersnoyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infocan act as a resource manager in an XA/JTA transactionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyesyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access control at the document and subdocument levelsnoCryptographically strong user authentication and audit trail

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More resources
Apache DruidLeanXcaleMarkLogicOracle Berkeley DBQuasardb
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