DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AlaSQL vs. Amazon DocumentDB vs. ArangoDB vs. Drizzle vs. Stardog

System Properties Comparison AlaSQL vs. Amazon DocumentDB vs. ArangoDB vs. Drizzle vs. Stardog

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonArangoDB  Xexclude from comparisonDrizzle  Xexclude from comparisonStardog  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.
DescriptionJavaScript DBMS libraryFast, scalable, highly available, and fully managed MongoDB-compatible database serviceNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store
Relational DBMS
Document storeDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitealasql.orgaws.amazon.com/­documentdbarangodb.comwww.stardog.com
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­documentdb/­resourcesdocs.arangodb.comdocs.stardog.com
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperAndrey Gershun & Mathias R. WulffArangoDB Inc.Drizzle project, originally started by Brian AkerStardog-Union
Initial release20142019201220082010
Current release3.11.5, November 20237.2.4, September 20127.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoGNU GPLcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageJavaScriptC++C++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-free infoautomatically recognizes schema within a collectionyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyesyes infostring, double, boolean, list, hashyesyes
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 infoImport/export of XML data possible
Secondary indexesnoyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nonoyes infowith proprietary extensionsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJavaScript APIproprietary protocol using JSON (MongoDB compatible)AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JDBCGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesJavaScriptGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C
C++
Java
PHP
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnonoJavaScriptnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesnonono infohooks for callbacks inside the server can be used.yes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infosince version 2.0Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replication with configurable replication factorMulti-source replication
Source-replica replication
Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no infocan be done with stored procedures in JavaScriptnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possibleyes inforelationships in graphsyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic single-document operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoAccess rights for users and rolesyesPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles
More information provided by the system vendor
AlaSQLAmazon DocumentDBArangoDBDrizzleStardog
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AlaSQLAmazon DocumentDBArangoDBDrizzleStardog
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

show all

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Recent citations in the news

Create a Marvel Database with SQL and Javascript, the easy way
2 July 2019, Towards Data Science

HarperDB - How and Why We Built It From The Ground Up on NodeJS
28 February 2021, hackernoon.com

Multi faceted data exploration in the browser using Leaflet and amCharts
3 May 2020, Towards Data Science

provided by Google News

Use LangChain and vector search on Amazon DocumentDB to build a generative AI chatbot | Amazon Web Services
20 May 2024, AWS Blog

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
29 November 2023, AWS Blog

AWS announces Amazon DocumentDB I/O-Optimized
21 November 2023, AWS Blog

AWS announces vector search for Amazon DocumentDB
29 November 2023, AWS Blog

Use headless clusters in Amazon DocumentDB for cost-effective multi-Region resiliency | Amazon Web Services
8 March 2024, AWS Blog

provided by Google News

ArangoGraphML: Simplifying the Power of Graph Machine Learning
11 October 2023, Datanami

How to Build Knowledge Graph Enhanced Chatbot with ChatGPT and ArangoDB
30 June 2023, DataDrivenInvestor

ArangoDB Announces Release of ArangoDB 3.11 for Search, Graph and Analytics - High-Performance Computing ...
30 May 2023, insideHPC

ArangoDB brings yet more money into graph database market with $27.8M round
6 October 2021, SiliconANGLE News

ArangoDB expands scope of graph database platform
6 October 2022, TechTarget

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here