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DBMS > GreptimeDB vs. NSDb vs. Quasardb vs. Weaviate

System Properties Comparison GreptimeDB vs. NSDb vs. Quasardb vs. Weaviate

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonNSDb  Xexclude from comparisonQuasardb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDistributed, high-performance timeseries databaseAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitegreptime.comnsdb.ioquasar.aigithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.greptime.comnsdb.io/­Architecturedoc.quasar.ai/­masterweaviate.io/­developers/­weaviate
DeveloperGreptime Inc.quasardbWeaviate B.V.
Initial release2022201720092019
Current release3.14.1, January 20241.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen 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 languageRustJava, ScalaC++Go
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
BSD
Linux
OS X
Windows
Data schemeschema-free, schema definition possibleschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes infointeger and binaryyes 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 indexesyesall fields are automatically indexedyes infowith tagsyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesSQL-like query languageSQL-like query languageGraphQL is used as query language
APIs and other access methodsgRPC
HTTP API
JDBC
gRPC
HTTP REST
WebSocket
HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
Java
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresPythonnonono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes
User concepts infoAccess controlSimple rights management via user accountsCryptographically strong user authentication and audit trailAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
GreptimeDBNSDbQuasardbWeaviate
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
All companies that have data. ​
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
GreptimeDBNSDbQuasardbWeaviate
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