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DBMS > Apache Kylin vs. OpenMLDB vs. Oracle Berkeley DB vs. Sphinx vs. Transbase

System Properties Comparison Apache Kylin vs. OpenMLDB vs. Oracle Berkeley DB vs. Sphinx vs. Transbase

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonOpenMLDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSphinx  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn open-source machine learning database that provides a feature platform for training and inferenceWidely used in-process key-value storeOpen source search engine for searching in data from different sources, e.g. relational databasesA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Search engineRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitekylin.apache.orgopenmldb.aiwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsphinxsearch.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationkylin.apache.org/­docsopenmldb.ai/­docs/­zh/­maindocs.oracle.com/­cd/­E17076_05/­html/­index.htmlsphinxsearch.com/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software Foundation, originally contributed from eBay Inc4 Paradigm Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleSphinx Technologies Inc.Transaction Software GmbH
Initial release20152020199420011987
Current release3.1.0, July 20202024-2 February 202418.1.40, May 20203.5.1, February 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infocommercial license availableOpen Source infoGPL version 2, commercial licence availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, ScalaC, Java, C++ (depending on the Berkeley DB edition)C++C and C++
Server operating systemsLinuxLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesFixed schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesyes infoSQL interfaced based on SQLite is availableSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
SQLAlchemy
Proprietary protocolADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++
Go
Java
Python
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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnoyes infoonly for the SQL APInoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard

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More resources
Apache KylinOpenMLDBOracle Berkeley DBSphinxTransbase
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