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DBMS > ArcadeDB vs. NSDb vs. Oracle Berkeley DB vs. WakandaDB vs. Weaviate

System Properties Comparison ArcadeDB vs. NSDb vs. Oracle Berkeley DB vs. WakandaDB vs. Weaviate

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonNSDb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonWakandaDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesWidely used in-process key-value storeWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Time Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Object oriented DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitearcadedb.comnsdb.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwakanda.github.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.arcadedb.comnsdb.io/­Architecturedocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwakanda.github.io/­docweaviate.io/­developers/­weaviate
DeveloperArcade DataOracle infooriginally developed by Sleepycat, which was acquired by OracleWakanda SASWeaviate B.V.
Initial release20212017199420122019
Current releaseSeptember 202118.1.40, May 20202.7.0 (April 29, 2019), April 20191.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infocommercial license availableOpen Source infoAGPLv3, extended commercial license availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ScalaC, Java, C++ (depending on the Berkeley DB edition)C++, JavaScriptGo
Server operating systemsAll OS with a Java VMLinux
macOS
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringnoyesyes 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.nonoyes infoonly with the Berkeley DB XML editionnono
Secondary indexesyesall fields are automatically indexedyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query language, no joinsSQL-like query languageyes infoSQL interfaced based on SQLite is availablenoGraphQL is used as query language
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
gRPC
HTTP REST
WebSocket
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJavaJava
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
JavaScriptJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersyes infoonly for the SQL APIyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
ArcadeDBNSDbOracle Berkeley DBWakandaDBWeaviate
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
ArcadeDBNSDbOracle Berkeley DBWakandaDBWeaviate
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