DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AlaSQL vs. Drizzle vs. Druid vs. Stardog

System Properties Comparison AlaSQL vs. Drizzle vs. Druid vs. Stardog

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDrizzle  Xexclude from comparisonDruid  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 libraryMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Open-source analytics data store designed for OLAP queries on timeseries dataEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS
Time Series DBMS
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#221  Overall
#32  Document stores
#105  Relational DBMS
Score1.79
Rank#117  Overall
#58  Relational DBMS
#7  Time Series DBMS
Score0.76
Rank#170  Overall
#13  Graph DBMS
#7  RDF stores
Websitealasql.orgdruid.apache.orgwww.stardog.com
Technical documentationgithub.com/­agershun/­alasqldruid.apache.org/­docs/­latest/­designwww.stardog.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffDrizzle project, originally started by Brian AkerMetamarkets Group and contributorsStardog-Union
Initial release2014200820122010
Current release7.2.4, September 20126.2.3, July 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoGNU GPLOpen Source infoApache license v2commercial 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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++JavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
OS X
Linux
OS X
Unix
Linux
macOS
Windows
Data schemeschema-freeyesyes infoschema-less columns are supportedschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesyesyes 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.yes infowith proprietary extensionsSQL support via Apache Calcite adapterSPARQL is used as query language
APIs and other access methodsJavaScript APIJDBCJSON over HTTPGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesJavaScriptC
C++
Java
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnononouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesno infohooks for callbacks inside the server can be used.noyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication
Master-slave replication
yes, via HDFS, S3 or other storage enginesMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes 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.yesnoyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoavailable via extensionsAccess rights for users and roles
More information provided by the system vendor
AlaSQLDrizzleDruidStardog
Specific characteristicsStardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Competitive advantagesStardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
Typical application scenariosStardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersBosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsStardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsA fully-featured 60-day Trial license is available for those testing Stardog; contact...
» 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
AlaSQLDrizzleDruidStardog
DB-Engines blog posts

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

Meet AlaSQL, a speedy SQL database for JavaScript
15 January 2019, JAXenter

DeskGap wants to be your go-to framework for building cross-platform desktop apps with web technologies
13 February 2019, JAXenter

International JavaScript Conference 2019: Early bird special
11 July 2019, JAXenter

QLBridge: A SQL runtime engine for Go
17 August 2018, JAXenter

Introduction to Apache Spark: Big Data Analytics Simplified
4 September 2018, Business 2 Community

provided by Google News

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

Azure HDInsight Brings Next Generation Hadoop 3.0 and Enterprise Security to the Cloud
24 September 2018, HPCwire

provided by Google News

Job opportunities

Senior Big Data Engineer
Experian, Costa Mesa, CA

Sr. Big Data Software Engineer
PayPal, San Jose, CA

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Present your product here