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DBMS > Databend vs. Machbase Neo vs. Sphinx vs. Weaviate

System Properties Comparison Databend vs. Machbase Neo vs. Sphinx vs. Weaviate

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSphinx  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityTimeSeries DBMS for AIoT and BigDataOpen source search engine for searching in data from different sources, e.g. relational databasesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSTime Series DBMSSearch engineVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
machbase.comsphinxsearch.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.databend.commachbase.com/­dbmssphinxsearch.com/­docsweaviate.io/­developers/­weaviate
DeveloperDatabend LabsMachbaseSphinx Technologies Inc.Weaviate B.V.
Initial release2021201320012019
Current release1.0.59, April 2023V8.0, August 20233.5.1, February 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree test version availableOpen Source infoGPL version 2, commercial licence availableOpen 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 languageRustCC++Go
Server operating systemshosted
Linux
macOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesnoyes 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.nonono
Secondary indexesnoyesyes infofull-text index on all search fieldsyes 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 language (SphinxQL)GraphQL is used as query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Proprietary protocolGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolessimple password-based access controlnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
DatabendMachbase Neo infoFormer name was InfinifluxSphinxWeaviate
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
DatabendMachbase Neo infoFormer name was InfinifluxSphinxWeaviate
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