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DBMS > Databend vs. Graph Engine vs. GridGain vs. Ingres

System Properties Comparison Databend vs. Graph Engine vs. GridGain vs. Ingres

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridGain  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 complexityA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineGridGain is an in-memory computing platform, built on Apache IgniteWell established RDBMS
Primary database modelRelational DBMSGraph DBMS
Key-value store
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.graphengine.iowww.gridgain.comwww.actian.com/­databases/­ingres
Technical documentationdocs.databend.comwww.graphengine.io/­docs/­manualwww.gridgain.com/­docs/­index.htmldocs.actian.com/­ingres
DeveloperDatabend LabsMicrosoftGridGain Systems, Inc.Actian Corporation
Initial release2021201020071974 infooriginally developed at University Berkely in early 1970s
Current release1.0.59, April 2023GridGain 8.5.112.0, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT Licensecommercial, open sourcecommercial
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 languageRust.NET and CJava, C++, .Net, Python, REST, SQLC
Server operating systemshosted
Linux
macOS
.NETLinux
OS X
Solaris
Windows
z/OS
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLyesnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)yes
Triggersnonoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)Ingres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesRole-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standard

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More resources
DatabendGraph Engine infoformer name: TrinityGridGainIngres
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