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DBMS > Apache Druid vs. Apache Jena - TDB vs. CockroachDB vs. Valentina Server vs. WakandaDB

System Properties Comparison Apache Druid vs. Apache Jena - TDB vs. CockroachDB vs. Valentina Server vs. WakandaDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonValentina Server  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Object-relational database and reports serverWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMS
Time Series DBMS
RDF storeRelational DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score3.75
Rank#84  Overall
#3  RDF stores
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitedruid.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlwww.cockroachlabs.comwww.valentina-db.netwakanda.github.io
Technical documentationdruid.apache.org/­docs/­latest/­designjena.apache.org/­documentation/­tdb/­index.htmlwww.cockroachlabs.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpwakanda.github.io/­doc
DeveloperApache Software Foundation and contributorsApache Software Foundation infooriginally developed by HP LabsCockroach LabsParadigma SoftwareWakanda SAS
Initial release20122000201519992012
Current release29.0.1, April 20244.9.0, July 202323.1.1, May 20235.7.52.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache License, Version 2.0Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC++, JavaScript
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinux
macOS
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyes infoRDF Schemasdynamic schemayesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingnoyes, wire compatible with PostgreSQLyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBCODBCRESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
JavaScript
Server-side scripts infoStored proceduresnoyesnoyesyes
Triggersnoyes infovia event handlernoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneMulti-source replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoTDB TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess control via Jena SecurityRole-based access controlfine grained access rights according to SQL-standardyes

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More resources
Apache DruidApache Jena - TDBCockroachDBValentina ServerWakandaDB
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