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DBMS > NSDb vs. Spark SQL vs. Transbase vs. Weaviate

System Properties Comparison NSDb vs. Spark SQL vs. Transbase vs. Weaviate

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.15
Rank#337  Overall
#147  Relational DBMS
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitensdb.iospark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.htmlgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmlweaviate.io/­developers/­weaviate
DeveloperApache Software FoundationTransaction Software GmbHWeaviate B.V.
Initial release2017201419872019
Current release3.5.0 ( 2.13), September 2023Transbase 8.3, 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree development licenseOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaScalaC and C++Go
Server operating systemsLinux
macOS
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyesyesyes 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.nononono
Secondary indexesall fields are automatically indexednoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyesGraphQL is used as query language
APIs and other access methodsgRPC
HTTP REST
WebSocket
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
Scala
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
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 systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentUsing Apache Luceneyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
NSDbSpark SQLTransbaseWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
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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...
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More resources
NSDbSpark SQLTransbaseWeaviate
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