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 > Google Cloud Firestore vs. Memcached vs. OpenTSDB vs. Teradata Aster vs. Warp 10

System Properties Comparison Google Cloud Firestore vs. Memcached vs. OpenTSDB vs. Teradata Aster vs. Warp 10

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMemcached  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonWarp 10  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionCloud 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 cachingScalable Time Series DBMS based on HBasePlatform for big data analytics on multistructured data sources and typesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeKey-value storeTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitefirebase.google.com/­products/­firestorewww.memcached.orgopentsdb.netwww.warp10.io
Technical documentationfirebase.google.com/­docs/­firestoregithub.com/­memcached/­memcached/­wikiopentsdb.net/­docs/­build/­html/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalcurrently maintained by Yahoo and other contributorsTeradataSenX
Initial release20172003201120052015
Current release1.6.27, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoLGPLcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJava
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
Linux
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesnonumeric data for metrics, strings for tagsyesyes
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.nonoyes infoin Aster File Storeno
Secondary indexesyesnonoyesno
SQL infoSupport of SQLnononoyesno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary protocolHTTP API
Telnet API
ADO.NET
JDBC
ODBC
OLE DB
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsnonoR packagesyes infoWarpScript
Triggersyes, with Cloud Functionsnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBaseShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone infoRepcached, a Memcached patch, provides this functionallityselectable replication factor infobased on HBaseyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess 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) protocolnofine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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
Google Cloud FirestoreMemcachedOpenTSDBTeradata AsterWarp 10
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

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

show all

Recent citations in the 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 Cloud Firestore, a new document database for app developers
3 October 2017, TechCrunch

Google's Cloud-Native NoSQL Database Cloud Firestore Is Now Generally Available
8 February 2019, InfoQ.com

Firestore and Python | NoSQL on Google Cloud
7 August 2020, Towards Data Science

provided by Google News

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

Ubuntu 24.04 Helping Achieve Greater Performance On Intel Xeon Scalable Emerald Rapids
8 March 2024, Phoronix

Why Redis beats Memcached for caching
14 September 2017, InfoWorld

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

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

provided by Google News

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

MapR to help admins peer into dense Hadoop clusters
28 June 2016, SiliconANGLE News

A real-time processing revival - O'Reilly Radar
2 April 2015, O'Reilly Radar

provided by Google News

Teradata Enhances Big Data Analytics Platform
31 May 2024, Data Center Knowledge

Northwestern Analytics Partners with Teradata Aster to Host Hackathon
23 May 2014, Northwestern Engineering

Teradata Provides the Simplest Way to Bring the Science of Data to the Art of Business
22 September 2011, PR Newswire

Teradata's Aster shows how the flowers of fraud bloom
23 April 2015, The Register

Teradata unveils improved QueryGrid connectors
21 April 2015, CIO

provided by Google News

Time Series Databases Software Market - A comprehensive study by Key Players | Warp 10, Amazon Timestream ...
6 February 2020, openPR

Time Series Databases Software market latest trends, CAGR, and forecast till 2026 | eSherpa Market Reports
13 April 2020, openPR

Time Series Intelligence Software Market Business Insights, Key Trend Analysis | Google, SAP, Azure Time Series ...
12 June 2024, Amoré

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

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

Present your product here