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DBMS > AgensGraph vs. Cloudflare Workers KV vs. Drizzle vs. Microsoft Azure Table Storage vs. RavenDB

System Properties Comparison AgensGraph vs. Cloudflare Workers KV vs. Drizzle vs. Microsoft Azure Table Storage vs. RavenDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft Azure Table Storage  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 PostgreSQLA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A Wide Column Store for rapid development using massive semi-structured datasetsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
Relational DBMS
Key-value storeRelational DBMSWide column storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.84
Rank#101  Overall
#18  Document stores
Websitebitnine.net/­agensgraphwww.cloudflare.com/­developer-platform/­workers-kvazure.microsoft.com/­en-us/­services/­storage/­tablesravendb.net
Technical documentationbitnine.net/­documentationdevelopers.cloudflare.com/­kv/­apiravendb.net/­docs
DeveloperBitnine Global Inc.CloudflareDrizzle project, originally started by Brian AkerMicrosoftHibernating Rhinos
Initial release20162018200820122010
Current release2.1, December 20187.2.4, September 20125.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoGNU GPLcommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C#
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
hostedLinux
macOS
Raspberry Pi
Windows
Data schemedepending on used data modelschema-freeyesschema-freeschema-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.nonono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsnoSQL-like query language (RQL)
APIs and other access methodsCypher Query Language
JDBC
HTTP REST
Proprietary protocol
JDBCRESTful HTTP API.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
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Java
PHP
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnononoyes
Triggersnonono infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate 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 integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic lockingACID, 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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights based on private key authentication or shared access signaturesAuthorization levels configured per client per database

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More resources
AgensGraphCloudflare Workers KVDrizzleMicrosoft Azure Table StorageRavenDB
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