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DBMS > AgensGraph vs. Databend vs. IBM Db2 Event Store vs. Linter vs. Quasardb

System Properties Comparison AgensGraph vs. Databend vs. IBM Db2 Event Store vs. Linter vs. Quasardb

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDatabend  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLinter  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDistributed Event Store optimized for Internet of Things use casesRDBMS for high security requirementsDistributed, high-performance timeseries database
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSEvent Store
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitebitnine.net/­agensgraphgithub.com/­datafuselabs/­databend
www.databend.com
www.ibm.com/­products/­db2-event-storelinter.ruquasar.ai
Technical documentationbitnine.net/­documentationdocs.databend.comwww.ibm.com/­docs/­en/­db2-event-storedoc.quasar.ai/­master
DeveloperBitnine Global Inc.Databend LabsIBMrelex.ruquasardb
Initial release20162021201719902009
Current release2.1, December 20181.0.59, April 20232.03.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial infofree developer edition availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageCRustC and C++C and C++C++
Server operating systemsLinux
OS X
Windows
hosted
Linux
macOS
Linux infoLinux, macOS, Windows for the developer additionAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
BSD
Linux
OS X
Windows
Data schemedepending on used data modelyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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.nonononono
Secondary indexesyesnonoyesyes infowith tags
SQL infoSupport of SQLyesyesyes infothrough the embedded Spark runtimeyesSQL-like query language
APIs and other access methodsCypher Query Language
JDBC
CLI Client
JDBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
HTTP API
Supported programming languagesC
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesnoyesyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneActive-active shard replicationSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
AgensGraphDatabendIBM Db2 Event StoreLinterQuasardb
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