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

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

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAntDB  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleMySQL 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 Database
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational 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
Score0.09
Rank#342  Overall
#149  Relational DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Websitebitnine.net/­agensgraphwww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlazure.microsoft.com/­services/­synapse-analyticsravendb.net
Technical documentationbitnine.net/­documentationdocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docs
DeveloperBitnine Global Inc.AsiaInfo Technologies LimitedDrizzle project, originally started by Brian AkerMicrosoftHibernating Rhinos
Initial release2016200820162010
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 servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++C#
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
hostedLinux
macOS
Raspberry Pi
Windows
Data schemedepending on used data modelyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL2016 compliantyes infowith proprietary extensionsyesSQL-like query language (RQL)
APIs and other access methodsCypher Query Language
JDBC
JDBC
MySQL protocol compliant
ODBC
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
Server-side scripts infoStored proceduresyesnoTransact SQLyes
Triggersnoyesno 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 partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 integrityyesyesyesno 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 dataACIDACIDACIDACIDACID, 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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPyesAuthorization levels configured per client per database

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More resources
AgensGraphAntDBDrizzleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRavenDB
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