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DBMS > AgensGraph vs. AlaSQL vs. Derby vs. Microsoft Azure SQL Database vs. RavenDB

System Properties Comparison AgensGraph vs. AlaSQL vs. Derby vs. Microsoft Azure SQL Database vs. RavenDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAlaSQL  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLJavaScript DBMS libraryFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Database as a Service offering with high compatibility to Microsoft SQL ServerOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
Relational DBMS
Document store
Relational DBMS
Relational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score5.30
Rank#66  Overall
#36  Relational DBMS
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Websitebitnine.net/­agensgraphalasql.orgdb.apache.org/­derbyazure.microsoft.com/­en-us/­products/­azure-sql/­databaseravendb.net
Technical documentationbitnine.net/­documentationgithub.com/­AlaSQL/­alasqldb.apache.org/­derby/­manuals/­index.htmldocs.microsoft.com/­en-us/­azure/­azure-sqlravendb.net/­docs
DeveloperBitnine Global Inc.Andrey Gershun & Mathias R. WulffApache Software FoundationMicrosoftHibernating Rhinos
Initial release20162014199720102010
Current release2.1, December 201810.17.1.0, November 2023V125.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoMIT-LicenseOpen Source infoApache version 2commercialOpen 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 languageCJavaScriptJavaC++C#
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VMhostedLinux
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.nonoyesyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesClose to SQL99, but no user access control, stored procedures and host language bindings.yesyesSQL-like query language (RQL)
APIs and other access methodsCypher Query Language
JDBC
JavaScript APIJDBCADO.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
JavaScriptJava.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoJava Stored ProceduresTransact SQLyes
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationyes, with always 3 replicas availableMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate 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 integrityyesyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoonly for local storage and DOM-storageACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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AgensGraphAlaSQLDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBMicrosoft Azure SQL Database infoformerly SQL AzureRavenDB
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