DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Drizzle vs. etcd vs. Fauna vs. Google Cloud Bigtable vs. Microsoft Azure AI Search

System Properties Comparison Drizzle vs. etcd vs. Fauna vs. Google Cloud Bigtable vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonetcd  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure AI Search  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed reliable key-value storeFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Search-as-a-service for web and mobile app development
Primary database modelRelational DBMSKey-value storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
Wide column store
Search engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.66
Rank#55  Overall
#6  Key-value stores
Score1.63
Rank#155  Overall
#28  Document stores
#14  Graph DBMS
#70  Relational DBMS
#13  Time Series DBMS
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score5.72
Rank#66  Overall
#8  Search engines
Websiteetcd.io
github.com/­etcd-io/­etcd
fauna.comcloud.google.com/­bigtableazure.microsoft.com/­en-us/­services/­search
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.fauna.comcloud.google.com/­bigtable/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperDrizzle project, originally started by Brian AkerFauna, Inc.GoogleMicrosoft
Initial release2008201420152015
Current release7.2.4, September 20123.4, August 2019V1
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoScala
Server operating systemsFreeBSD
Linux
OS X
FreeBSD
Linux
Windows infoexperimental
hostedhostedhosted
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnononoyes
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.nononono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnononono
APIs and other access methodsJDBCgRPC
JSON over HTTP
RESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersno infohooks for callbacks inside the server can be used.yes, watching key changesnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic single-row operationsno
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.nononono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoIdentity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing Azure authentication

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
DrizzleetcdFauna infopreviously named FaunaDBGoogle Cloud BigtableMicrosoft Azure AI Search
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

CKA (Certified Kubernetes Administrator) Cheat Sheet | by Innovate Forge
3 January 2024, Medium

A Deep Dive Into Kubernetes Threat Modeling - Security News
31 October 2023, Trend Micro

How can corporates use the ETCD platform to hedge their forex? Gaurang Somaiya explains
4 August 2023, The Economic Times

How to restore a Kubernetes cluster from an etcd snapshot
16 December 2021, TechTarget

Tutorial: Set up a Secure and Highly Available etcd Cluster
14 August 2020, The New Stack

provided by Google News

Fauna Launches Distributed Document-Relational Database On Google Cloud Marketplace
21 March 2024, GlobeNewswire

Fauna Adds Transformative Schema-as-Code Capabilities to Enterprise Proven, Document-Relational Database
15 November 2023, Business Wire

Slicing the Gordian Knot: A leap to real-time systems of truth
3 February 2024, SiliconANGLE News

Fauna Query Language tamed to appeal to developers
22 August 2023, The Register

CITES Trade Database surpasses 25 million trade transaction records
3 October 2023, Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES)

provided by Google News

What is Google Bigtable? | Definition from TechTarget
1 March 2022, TechTarget

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

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Fire, water, knock out Google Cloud in Paris
27 April 2023, The Stack

Google introduces Cloud Bigtable managed NoSQL database to process data at scale
6 May 2015, VentureBeat

provided by Google News

Microsoft Azure AI, data, and application innovations help turn your AI ambitions into reality
15 November 2023, Microsoft

Azure AI Studio: A nearly complete toolbox for AI development
22 January 2024, InfoWorld

Microsoft turbocharges AI development with Fabric, Azure AI Studio and database updates
15 November 2023, SiliconANGLE News

Nasuni adds 'AI-ready' data management to cloud file services – Blocks and Files
21 February 2024, Blocks & Files

Microsoft Cloud and its Azure OpenAI Power Telstra's Generative AI Solutions
12 February 2024, The Fast Mode

provided by Google News



Share this page

Featured Products

Neo4j logo

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

Milvus logo

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

AllegroGraph logo

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

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