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DBMS > AgensGraph vs. Drizzle vs. Microsoft Azure Synapse Analytics vs. RavenDB vs. YTsaurus

System Properties Comparison AgensGraph vs. Drizzle vs. Microsoft Azure Synapse Analytics vs. RavenDB vs. YTsaurus

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRavenDB  Xexclude from comparisonYTsaurus  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 PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseYTsaurus is an open source platform for distributed storage and processing.
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSDocument storeDocument store
Key-value 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
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Score0.15
Rank#323  Overall
#44  Document stores
#47  Key-value stores
Websitebitnine.net/­agensgraphazure.microsoft.com/­services/­synapse-analyticsravendb.netytsaurus.tech
Technical documentationbitnine.net/­documentationdocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docsytsaurus.tech/­docs/­en
DeveloperBitnine Global Inc.Drizzle project, originally started by Brian AkerMicrosoftHibernating RhinosYandex
Initial release20162008201620102023
Current release2.1, December 20187.2.4, September 20125.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGNU GPLcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++C#C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
hostedLinux
macOS
Raspberry Pi
Windows
Ubuntu
Data schemedepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyesSQL-like query language (RQL)YQL, an SQL-based language, is supported
APIs and other access methodsCypher Query Language
JDBC
JDBCADO.NET
JDBC
ODBC
.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++
Java
PHP
C#
Java
PHP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesnoTransact SQLyes
Triggersnono 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, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 integrityyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, Cluster-wide transaction availableACID
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-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPyesAuthorization levels configured per client per databaseAccess Control Lists

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More resources
AgensGraphDrizzleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRavenDBYTsaurus
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