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DBMS > Apache Doris vs. Oracle Berkeley DB vs. Weaviate

System Properties Comparison Apache Doris vs. Oracle Berkeley DB vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolWidely used in-process key-value storeAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgithub.com/­apache/­doris/­wikidocs.oracle.com/­cd/­E17076_05/­html/­index.htmlweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation, originally contributed from BaiduOracle infooriginally developed by Sleepycat, which was acquired by OracleWeaviate B.V.
Initial release201719942019
Current release1.2.2, February 202318.1.40, May 20201.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infocommercial license availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)Go
Server operating systemsLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyes infoSQL interfaced based on SQLite is availableGraphQL is used as query language
APIs and other access methodsJDBC
MySQL client
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava.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
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
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-standardnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache DorisOracle Berkeley DBWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
Apache DorisOracle Berkeley DBWeaviate
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