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DBMS > Apache Doris vs. Apache Jena - TDB vs. Google Cloud Spanner vs. IBM Db2 warehouse vs. Kdb

System Properties Comparison Apache Doris vs. Apache Jena - TDB vs. Google Cloud Spanner vs. IBM Db2 warehouse vs. Kdb

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Cloud-based data warehousing serviceHigh performance Time Series DBMS
Primary database modelRelational DBMSRDF storeRelational DBMSRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score3.62
Rank#83  Overall
#3  RDF stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websitedoris.apache.org
github.com/­apache/­doris
jena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­spannerwww.ibm.com/­products/­db2/­warehousekx.com
Technical documentationgithub.com/­apache/­doris/­wikijena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­spanner/­docscode.kx.com
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation infooriginally developed by HP LabsGoogleIBMKx Systems, a division of First Derivatives plc
Initial release20172000201720142000 infokdb was released 2000, kdb+ in 2003
Current release1.2.2, February 20234.9.0, July 20233.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License, Version 2.0commercialcommercialcommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaq
Server operating systemsLinuxAll OS with a Java VMhostedhostedLinux
OS X
Solaris
Windows
Data schemeyesyes infoRDF Schemasyesyesyes
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 infoImport/export of XML data possibleyes
Secondary indexesyesyesyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLyesnoyes infoQuery statements complying to ANSI 2011yesSQL-like query language (q)
APIs and other access methodsJDBC
MySQL client
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesJavaJavaGo
Java
JavaScript (Node.js)
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyesnoPL/SQL, SQL PLuser defined functions
Triggersnoyes infovia event handlernoyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication with 3 replicas for regional instances.yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACID infoStrict serializable isolationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess control via Jena SecurityAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
Apache DorisApache Jena - TDBGoogle Cloud SpannerIBM Db2 warehouse infoformerly named IBM dashDBKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
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More resources
Apache DorisApache Jena - TDBGoogle Cloud SpannerIBM Db2 warehouse infoformerly named IBM dashDBKdb
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