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DBMS > GridGain vs. Hive vs. InfinityDB vs. TinkerGraph vs. Weaviate

System Properties Comparison GridGain vs. Hive vs. InfinityDB vs. TinkerGraph vs. Weaviate

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHive  Xexclude from comparisonInfinityDB  Xexclude from comparisonTinkerGraph  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache Ignitedata warehouse software for querying and managing large distributed datasets, built on HadoopA Java embedded Key-Value Store which extends the Java Map interfaceA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value store
Relational DBMS
Relational DBMSKey-value storeGraph DBMSVector DBMS
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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.gridgain.comhive.apache.orgboilerbay.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlingithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.gridgain.com/­docs/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homeboilerbay.com/­infinitydb/­manualweaviate.io/­developers/­weaviate
DeveloperGridGain Systems, Inc.Apache Software Foundation infoinitially developed by FacebookBoiler Bay Inc.Weaviate B.V.
Initial release20072012200220092019
Current releaseGridGain 8.5.13.1.3, April 20224.01.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaJavaJavaGo
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMAll OS with a Java VM
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes 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 indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilitynoyes 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 DML and DDL statementsnonoGraphQL is used as query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
TinkerPop 3GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
JavaGroovy
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reducenonono
Triggersyes (cache interceptors and events)nononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factornonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDnoneEventual Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users, groups and rolesnonoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
GridGainHiveInfinityDBTinkerGraphWeaviate
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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GridGainHiveInfinityDBTinkerGraphWeaviate
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