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DBMS > GridGain vs. InfluxDB vs. Lovefield vs. Weaviate

System Properties Comparison GridGain vs. InfluxDB vs. Lovefield vs. Weaviate

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonInfluxDB  Xexclude from comparisonLovefield  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteDBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScriptAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.gridgain.comwww.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefieldgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdweaviate.io/­developers/­weaviate
DeveloperGridGain Systems, Inc.GoogleWeaviate B.V.
Initial release2007201320142019
Current releaseGridGain 8.5.12.7.6, April 20242.1.12, February 20171.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version 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 languageJava, C++, .NetGoJavaScriptGo
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes 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.yesnonono
Secondary indexesyesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query language infovia JavaScript builder patternGraphQL is used as query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScriptJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonono
Triggersyes (cache interceptors and events)noUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infoin enterprise version onlynoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes infousing MemoryDByes
User concepts infoAccess controlSecurity Hooks for custom implementationssimple rights management via user accountsnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
GridGainInfluxDBLovefieldWeaviate
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
All companies that have data. ​
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more
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More resources
GridGainInfluxDBLovefieldWeaviate
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