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DBMS > DuckDB vs. FileMaker vs. HarperDB vs. Weaviate

System Properties Comparison DuckDB vs. FileMaker vs. HarperDB vs. Weaviate

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonFileMaker  Xexclude from comparisonHarperDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSFileMaker is a cross-platform RDBMS that includes a GUI frontend.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websiteduckdb.orgwww.claris.com/­filemakerwww.harperdb.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationduckdb.org/­docswww.claris.com/­resources/­documentationdocs.harperdb.io/­docsweaviate.io/­developers/­weaviate
DeveloperClaris infoa subsidiary of AppleHarperDBWeaviate B.V.
Initial release2018198320172019
Current release1.0.0, June 202419.4.1, November 20213.1, August 20211.19, May 2023
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercial infofree community edition 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 languageC++Node.jsGo
Server operating systemsserver-lessiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Data schemeyesyesdynamic schemayes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes 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 infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyes infovia pluginsSQL-like data manipulation statementsGraphQL is used as query language
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
PHP.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyesCustom Functions infosince release 3.1no
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14yes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesAccess rights for users and rolesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
DuckDBFileMakerHarperDBWeaviate
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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DuckDBFileMakerHarperDBWeaviate
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