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DBMS > Databend vs. Dgraph vs. GBase vs. Ingres

System Properties Comparison Databend vs. Dgraph vs. GBase vs. Ingres

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDgraph  Xexclude from comparisonGBase  Xexclude from comparisonIngres  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDistributed and scalable native Graph DBMSWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Well established RDBMS
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
dgraph.iowww.gbase.cnwww.actian.com/­databases/­ingres
Technical documentationdocs.databend.comdgraph.io/­docsdocs.actian.com/­ingres
DeveloperDatabend LabsDgraph Labs, Inc.General Data Technology Co., Ltd.Actian Corporation
Initial release2021201620041974 infooriginally developed at University Berkely in early 1970s
Current release1.0.59, April 2023GBase 8a, GBase 8s, GBase 8c11.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial
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 languageRustGoC, Java, PythonC
Server operating systemshosted
Linux
macOS
Linux
OS X
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infobut tools for importing/exporting data from/to XML-files available
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesnoStandard with numerous extensionsyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
C API
JDBC
ODBC
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Server-side scripts infoStored proceduresnonouser defined functionsyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyeshorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via RaftyesIngres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC
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.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesno infoPlanned for future releasesyesfine grained access rights according to SQL-standard

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DatabendDgraphGBaseIngres
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