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DBMS > Apache Druid vs. EJDB vs. Newts vs. TimesTen

System Properties Comparison Apache Druid vs. EJDB vs. Newts vs. TimesTen

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEJDB  Xexclude from comparisonNewts  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Time Series DBMS based on CassandraIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMS
Time Series DBMS
Document storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.01
Rank#95  Overall
#49  Relational DBMS
#6  Time Series DBMS
Score0.26
Rank#278  Overall
#39  Document stores
Score0.00
Rank#354  Overall
#35  Time Series DBMS
Score1.93
Rank#121  Overall
#60  Relational DBMS
Websitedruid.apache.orgejdb.orgopennms.github.io/­newtswww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdruid.apache.org/­docs/­latest/­designgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgithub.com/­OpenNMS/­newts/­wikidocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software Foundation and contributorsSoftmotionsOpenNMS GroupOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012201220141998
Current release0.21.0, April 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGPLv2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava
Server operating systemsLinux
OS X
Unix
server-lessLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyes
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.nonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL for queryingnonoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
in-process shared libraryHTTP REST
Java API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
JavaC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnononoPL/SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnonofine grained access rights according to SQL-standard

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More resources
Apache DruidEJDBNewtsTimesTen
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