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 > Atos Standard Common Repository vs. eXtremeDB vs. Google Cloud Firestore vs. Memcached vs. Microsoft Azure AI Search

System Properties Comparison Atos Standard Common Repository vs. eXtremeDB vs. Google Cloud Firestore vs. Memcached vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksNatively in-memory DBMS with options for persistency, high-availability and clusteringCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.In-memory key-value store, originally intended for cachingSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Key-value store
Relational DBMS
Time Series DBMS
Document storeKey-value storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.mcobject.comfirebase.google.com/­products/­firestorewww.memcached.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.mcobject.com/­docs/­extremedb.htmfirebase.google.com/­docs/­firestoregithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­en-us/­azure/­search
DeveloperAtos Convergence CreatorsMcObjectGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoft
Initial release20162001201720032015
Current release17038.2, 20211.6.27, May 2024V1
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedFreeBSD
Linux
OS X
Unix
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesnoyes
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.yesno infosupport of XML interfaces availablenono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLnonono
APIs and other access methodsLDAP.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary protocolRESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
Java
Lua
Python
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyesyes, Firebase Rules & Cloud Functionsnono
Triggersyesyes infoby defining eventsyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning / shardingShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replicationnone infoRepcached, a Memcached patch, provides this functionallityyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes infousing SASL (Simple Authentication and Security Layer) protocolyes infousing Azure authentication
More information provided by the system vendor
Atos Standard Common RepositoryeXtremeDBGoogle Cloud FirestoreMemcachedMicrosoft Azure AI Search
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» 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
Atos Standard Common RepositoryeXtremeDBGoogle Cloud FirestoreMemcachedMicrosoft Azure AI Search
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Redis extends the lead in the DB-Engines key-value store ranking
3 February 2014, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Infographic: What makes a Mobile Operator's setup future proof?
10 February 2024, Atos

provided by Google News

Latest embedded DBMS supports asymmetric multiprocessing systems
24 May 2023, Embedded

McObject Delivers eXtremeDB 8.4 Improving Performance, Security, and Developer Productivity
13 May 2024, Embedded Computing Design

McObject LLC Joins STMicroelectronics Partner Program to Expand, Enhance and Accelerate Customer
6 June 2024, EIN News

The Data in Hard Real-time SCADA Systems Lets Companies Do More with Less
11 August 2023, Automation.com

McObject Announces the Release of eXtremeDB/rt 1.2
23 May 2023, Embedded Computing Design

provided by Google News

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1 March 2024, Forbes

Realtime vs Cloud Firestore: Which Firebase Database to go?
8 March 2024, Appinventiv

Google launches Firebase Genkit, a new open source framework for building AI-powered apps
14 May 2024, Yahoo Canada Finance

Google's Cloud Firestore is now generally available
31 January 2019, ZDNet

Google launches Cloud Firestore, a new document database for app developers
3 October 2017, TechCrunch

provided by Google News

Why DDoS Threat Actors Are Shifting Their Tactics
15 March 2024, Infosecurity Magazine

Intel Continues To Demonstrate The Importance Of Software Optimizations: Clear Linux + Xeon Max Benchmarks
23 October 2023, Phoronix

Why Redis beats Memcached for caching
14 September 2017, InfoWorld

What are memcached servers, and why are they being used to launch record-setting DDoS attacks?
6 March 2018, GeekWire

Memcached DDoS: The biggest, baddest denial of service attacker yet
1 March 2018, ZDNet

provided by Google News

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, Microsoft

Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates
2 April 2024, Microsoft

Microsoft’s Azure AI Search updated with increased storage, vector index size
5 April 2024, InfoWorld

Microsoft Azure AI adds storage power, large RAG app support
5 April 2024, VentureBeat

Azure AI Studio Now Generally Available, Sporting New Models Both Big and Small
21 May 2024, Visual Studio Magazine

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

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

Neo4j logo

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

Present your product here