DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AlaSQL vs. Dgraph vs. Drizzle vs. Heroic

System Properties Comparison AlaSQL vs. Dgraph vs. Drizzle vs. Heroic

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDgraph  Xexclude from comparisonDrizzle  Xexclude from comparisonHeroic  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 libraryDistributed and scalable native Graph DBMSMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelDocument store
Relational DBMS
Graph DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Websitealasql.orgdgraph.iogithub.com/­spotify/­heroic
Technical documentationgithub.com/­AlaSQL/­alasqldgraph.io/­docsspotify.github.io/­heroic
DeveloperAndrey Gershun & Mathias R. WulffDgraph Labs, Inc.Drizzle project, originally started by Brian AkerSpotify
Initial release2014201620082014
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infoApache 2.0
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 languageJavaScriptGoC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
FreeBSD
Linux
OS X
Data schemeschema-freeschema-freeyesschema-free
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
Secondary indexesnoyesyesyes infovia Elasticsearch
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyes infowith proprietary extensionsno
APIs and other access methodsJavaScript APIGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesJavaScriptC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PHP
Server-side scripts infoStored proceduresnononono
Triggersyesnono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via RaftMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDno
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.yesno
User concepts infoAccess controlnono infoPlanned for future releasesPluggable authentication mechanisms infoe.g. LDAP, HTTP

More information provided by the system vendor

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
AlaSQLDgraphDrizzleHeroic
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

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

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

provided by Google News

Dgraph on AWS: Setting up a horizontally scalable graph database | Amazon Web Services
1 September 2020, AWS Blog

Popular Open Source GraphQL Company Dgraph Secures $6M in Seed Round with New Leadership
20 July 2022, PR Newswire

Dgraph launches Slash GraphQL, a GraphQL-native database Backend-as-a-Service
10 September 2020, TechCrunch

Dgraph Raises $6M in Seed Funding
20 July 2022, FinSMEs

Dgraph Rises to the Top Graph Database on GitHub With 11 G2 Badges and 11M Downloads
26 May 2021, Business Wire

provided by Google News

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News



Share this page

Featured Products

Milvus logo

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

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

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

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

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Present your product here