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DBMS > AgensGraph vs. Amazon SimpleDB vs. Databend vs. Drizzle vs. RavenDB

System Properties Comparison AgensGraph vs. Amazon SimpleDB vs. Databend vs. Drizzle vs. RavenDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonDatabend  Xexclude from comparisonDrizzle  Xexclude from comparisonRavenDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
Relational DBMS
Key-value storeRelational DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score1.89
Rank#128  Overall
#22  Key-value stores
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Websitebitnine.net/­agensgraphaws.amazon.com/­simpledbgithub.com/­datafuselabs/­databend
www.databend.com
ravendb.net
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­simpledbdocs.databend.comravendb.net/­docs
DeveloperBitnine Global Inc.AmazonDatabend LabsDrizzle project, originally started by Brian AkerHibernating Rhinos
Initial release20162007202120082010
Current release2.1, December 20181.0.59, April 20237.2.4, September 20125.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCRustC++C#
Server operating systemsLinux
OS X
Windows
hostedhosted
Linux
macOS
FreeBSD
Linux
OS X
Linux
macOS
Raspberry Pi
Windows
Data schemedepending on used data modelschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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
Secondary indexesyesyes infoAll columns are indexed automaticallynoyesyes
SQL infoSupport of SQLyesnoyesyes infowith proprietary extensionsSQL-like query language (RQL)
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APICLI Client
JDBC
RESTful HTTP API
JDBC.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
C
C++
Java
PHP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnononoyes
Triggersnononono infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenone infoSharding must be implemented in the applicationnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationyesACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization concept, user rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPAuthorization levels configured per client per database

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More resources
AgensGraphAmazon SimpleDBDatabendDrizzleRavenDB
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