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DBMS > BoltDB vs. Graphite vs. GridGain vs. Weaviate

System Properties Comparison BoltDB vs. Graphite vs. GridGain vs. Weaviate

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGraphite  Xexclude from comparisonGridGain  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperGridGain is an in-memory computing platform, built on Apache IgniteAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeTime Series DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.70
Rank#225  Overall
#31  Key-value stores
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitegithub.com/­boltdb/­boltgithub.com/­graphite-project/­graphite-webwww.gridgain.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgraphite.readthedocs.iowww.gridgain.com/­docs/­index.htmlweaviate.io/­developers/­weaviate
DeveloperChris DavisGridGain Systems, Inc.Weaviate B.V.
Initial release2013200620072019
Current releaseGridGain 8.5.11.19, May 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0commercial, open sourceOpen 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 languageGoPythonJava, C++, .Net, Python, REST, SQLGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Unix
Linux
OS X
Solaris
Windows
z/OS
Data schemeschema-freeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoNumeric data onlyyesyes 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.nonoyesno
Secondary indexesnonoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLGraphQL is used as query language
APIs and other access methodsHTTP API
Sockets
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGoJavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
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
User concepts infoAccess controlnonoRole-based access control
Security Hooks for custom implementations
API Keys
OpenID Connect Discovery
More information provided by the system vendor
BoltDBGraphiteGridGainWeaviate
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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BoltDBGraphiteGridGainWeaviate
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