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DBMS > Apache Doris vs. Datastax Enterprise vs. JSqlDb vs. Oracle Berkeley DB

System Properties Comparison Apache Doris vs. Datastax Enterprise vs. JSqlDb vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonJSqlDb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.JavaScript Query Language Database, stores JavaScript objects and primitivesWidely used in-process key-value store
Primary database modelRelational DBMSWide column storeDocument store
Object oriented DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.datastax.com/­products/­datastax-enterprisejsqldb.org (offline)www.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationgithub.com/­apache/­doris/­wikidocs.datastax.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperApache Software Foundation, originally contributed from BaiduDataStaxKonrad von BackstromOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2017201120181994
Current release1.2.2, February 20236.8, April 20200.8, December 201818.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxLinux
OS X
Linux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.nononoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
MySQL client
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languagesJavaC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript.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
Server-side scripts infoStored proceduresuser defined functionsnofunctions in JavaScriptno
Triggersnoyesnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infono "single point of failure"nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectno
More information provided by the system vendor
Apache DorisDatastax EnterpriseJSqlDbOracle Berkeley DB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Apache DorisDatastax EnterpriseJSqlDbOracle Berkeley DB
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