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 > Blueflood vs. EsgynDB vs. Graphite vs. Memcached

System Properties Comparison Blueflood vs. EsgynDB vs. Graphite vs. Memcached

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonEsgynDB  Xexclude from comparisonGraphite  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperIn-memory key-value store, originally intended for caching
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Websiteblueflood.iowww.esgyn.cngithub.com/­graphite-project/­graphite-webwww.memcached.org
Technical documentationgithub.com/­rax-maas/­blueflood/­wikigraphite.readthedocs.iogithub.com/­memcached/­memcached/­wiki
DeveloperRackspaceEsgynChris DavisDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2013201520062003
Current release1.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoBSD license
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 languageJavaC++, JavaPythonC
Server operating systemsLinux
OS X
LinuxLinux
Unix
FreeBSD
Linux
OS X
Unix
Windows
Data schemepredefined schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyno
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 indexesnoyesnono
SQL infoSupport of SQLnoyesnono
APIs and other access methodsHTTP RESTADO.NET
JDBC
ODBC
HTTP API
Sockets
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication between multi datacentersnonenone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistencynone
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyes
Durability infoSupport for making data persistentyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoyes infousing SASL (Simple Authentication and Security Layer) protocol

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
BluefloodEsgynDBGraphiteMemcached
DB-Engines blog posts

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

Time Series DBMS as a new trend?
1 June 2015, 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

Real-Time Performance and Health Monitoring Using Netdata
2 September 2019, CNX Software

provided by Google News

Try out the Graphite monitoring tool for time-series data
29 October 2019, TechTarget

Grafana Labs Announces Mimir Time Series Database
1 April 2022, Datanami

Getting Started with Monitoring using Graphite
23 January 2015, InfoQ.com

The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
10 December 2018, Uber

The value of time series data and TSDBs
10 June 2021, InfoWorld

provided by Google News

Facebook Pushes Limits for Memcached
1 June 2024, Data Center Knowledge

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

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

Unlock on-demand, cost-optimized performance with Amazon ElastiCache Serverless | Amazon Web Services
2 February 2024, AWS Blog

provided by Google News



Share this page

Featured Products

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

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.

Present your product here