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DBMS > Firebird vs. Google Cloud Datastore vs. GridDB vs. Weaviate

System Properties Comparison Firebird vs. Google Cloud Datastore vs. GridDB vs. Weaviate

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGridDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformScalable in-memory time series database optimized for IoT and Big DataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSDocument storeTime Series DBMSVector DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitewww.firebirdsql.orgcloud.google.com/­datastoregriddb.netgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.firebirdsql.org/­en/­reference-manualscloud.google.com/­datastore/­docsdocs.griddb.netweaviate.io/­developers/­weaviate
DeveloperFirebird FoundationGoogleToshiba CorporationWeaviate B.V.
Initial release2000 infoAs fork of Borland's InterBase200820132019
Current release5.0.0, January 20245.1, August 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also 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 languageC and C++C++Go
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedLinux
Data schemeyesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes, details hereyes infonumerical, string, blob, geometry, boolean, timestampyes 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.nonono
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesSQL-like query language (GQL)SQL92, SQL-like TQL (Toshiba Query Language)GraphQL is used as query language
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresPSQLusing Google App Enginenono
TriggersyesCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using PaxosSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud DataflowConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate consistency within container, eventual consistency across containersEventual Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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 controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
FirebirdGoogle Cloud DatastoreGridDBWeaviate
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» 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
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» 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
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
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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FirebirdGoogle Cloud DatastoreGridDBWeaviate
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