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

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

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonQuasardb  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
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 capabilitiesWidely used in-process key-value storeDistributed, high-performance timeseries databaseTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMSGraph 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
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.oracle.com/­database/­technologies/­related/­berkeleydb.htmlquasar.aigithub.com/­thinkaurelius/­titan
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldoc.quasar.ai/­mastergithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation and contributorsLeanXcaleOracle infooriginally developed by Sleepycat, which was acquired by OraclequasardbAurelius, owned by DataStax
Initial release20122015199420092012
Current release29.0.1, April 202418.1.40, May 20203.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infocommercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)C++Java
Server operating systemsLinux
OS X
Unix
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infointeger and binaryyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLSQL for queryingyes infothrough Apache Derbyyes infoSQL interfaced based on SQLite is availableSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
Scala
.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
Clojure
Java
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnoyes infoonly for the SQL APInoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding infoconsistent hashingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoCryptographically strong user authentication and audit trailUser authentification and security via Rexster Graph Server

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Apache DruidLeanXcaleOracle Berkeley DBQuasardbTitan
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