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DBMS > Badger vs. FileMaker vs. GreptimeDB vs. Weaviate

System Properties Comparison Badger vs. FileMaker vs. GreptimeDB vs. Weaviate

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFileMaker  Xexclude from comparisonGreptimeDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.FileMaker is a cross-platform RDBMS that includes a GUI frontend.An open source Time Series DBMS built for increased scalability, high performance and efficiencyAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeRelational DBMSTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitegithub.com/­dgraph-io/­badgerwww.claris.com/­filemakergreptime.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.claris.com/­resources/­documentationdocs.greptime.comweaviate.io/­developers/­weaviate
DeveloperDGraph LabsClaris infoa subsidiary of AppleGreptime Inc.Weaviate B.V.
Initial release2017198320222019
Current release19.4.1, November 20211.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open 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 languageGoRustGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesschema-free, schema definition possibleyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesyesyes 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 indexesnoyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyes infovia pluginsyesGraphQL is used as query language
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
gRPC
HTTP API
JDBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGoPHPC++
Erlang
Go
Java
JavaScript
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyesPythonno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesSimple rights management via user accountsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BadgerFileMakerGreptimeDBWeaviate
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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BadgerFileMakerGreptimeDBWeaviate
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