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DBMS > BigObject vs. Firebolt vs. GigaSpaces vs. Weaviate

System Properties Comparison BigObject vs. Firebolt vs. GigaSpaces vs. Weaviate

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonFirebolt  Xexclude from comparisonGigaSpaces  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Vector DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitebigobject.iowww.firebolt.iowww.gigaspaces.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.bigobject.iodocs.firebolt.iodocs.gigaspaces.com/­latest/­landing.htmlweaviate.io/­developers/­weaviate
DeveloperBigObject, Inc.Firebolt Analytics Inc.Gigaspaces TechnologiesWeaviate B.V.
Initial release2015202020002019
Current release15.5, September 20201.19, May 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetGo
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
macOS
Solaris
Windows
Data schemeyesyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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.nono infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-99 for query and DML statementsGraphQL is used as query language
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
.Net
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
JavaScript (Node.js)
Python
.Net
C++
Java
Python
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresLuanoyesno
Triggersnonoyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoRole-based access controlAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BigObjectFireboltGigaSpacesWeaviate
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...
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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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More resources
BigObjectFireboltGigaSpacesWeaviate
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