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DBMS > BoltDB vs. GridDB vs. QuestDB vs. Weaviate

System Properties Comparison BoltDB vs. GridDB vs. QuestDB vs. Weaviate

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGridDB  Xexclude from comparisonQuestDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Scalable in-memory time series database optimized for IoT and Big DataA high performance open source SQL database for time series dataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeTime Series DBMSTime Series DBMSVector DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitegithub.com/­boltdb/­boltgriddb.netquestdb.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.griddb.netquestdb.io/­docsweaviate.io/­developers/­weaviate
DeveloperToshiba CorporationQuestDB Technology IncWeaviate B.V.
Initial release2013201320142019
Current release5.1, August 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 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 languageGoC++Java (Zero-GC), C++, RustGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Windows
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyes infonumerical, string, blob, geometry, boolean, timestampyesyes 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 indexesnoyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)SQL with time-series extensionsGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGoC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID at container levelACID for single-table writesno
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.noyesyes infothrough memory mapped filesyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BoltDBGridDBQuestDBWeaviate
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
All companies that have data. ​
» more
Market metricsGitHub trending repository
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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