DB-EnginesExtremeDB: the first and only COTS deterministic embedded database management system for mission- and safety-critical hard real-time applicationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > eXtremeDB vs. Hawkular Metrics vs. Memcached vs. TDengine vs. TimescaleDB

System Properties Comparison eXtremeDB vs. Hawkular Metrics vs. Memcached vs. TDengine vs. TimescaleDB

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMemcached  Xexclude from comparisonTDengine  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-memory key-value store, originally intended for cachingTime Series DBMS and big data platformA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSKey-value storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.68
Rank#211  Overall
#104  Relational DBMS
#15  Time Series DBMS
Score0.02
Rank#335  Overall
#31  Time Series DBMS
Score26.37
Rank#31  Overall
#4  Key-value stores
Score0.49
Rank#239  Overall
#18  Time Series DBMS
Score4.33
Rank#84  Overall
#5  Time Series DBMS
Websitewww.mcobject.comwww.hawkular.orgwww.memcached.orggithub.com/­taosdata/­TDengine
www.taosdata.com
www.timescale.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­memcached/­memcached/­wikiwww.taosdata.com/­en/­documentationdocs.timescale.com
DeveloperMcObjectCommunity supported by Red HatDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalTaos DataTimescale
Initial release20012014200320192017
Current release8.2, November 20201.6.9, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSD licenseOpen Source infoGPL V3, also commercial editions availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaCCC
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.no infosupport of XML interfaces availablenonoyes
Secondary indexesyesnononoyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnonoSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP RESTProprietary protocolJDBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
Go
Java
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Lua
Python
Rust
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnononouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infoby defining eventsyes infovia Hawkular Alertingnoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingSharding infobased on CassandranoneShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor infobased on Cassandranone infoRepcached, a Memcached patch, provides this functionallityyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnoyes infousing SASL (Simple Authentication and Security Layer) protocolyesfine grained access rights according to SQL-standard
More information provided by the system vendor
eXtremeDBHawkular MetricsMemcachedTDengineTimescaleDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
One of the modules of TDengine is the time-series database. However, in addition...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Performance improvement over 10 times: An innovative data storage structure is defined,...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
IT Infrastructure, Servers and Applications Monitoring Internet of Cars, Trucks,...
» more
DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Fastest growing database With more than 15,500 stars on GitHub
» more
With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Open Source (AGPL v3) Enterprise / Cloud (https://www.taosdata.com/en/support/)
» more
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» 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
3rd partiesClusterControl: the only management system you’ll ever need to take control of your open source database infrastructure.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
eXtremeDBHawkular MetricsMemcachedTDengineTimescaleDB
DB-Engines blog posts

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

McObject Announces Immediate Availability of eXtremeDB/rt for FreeRTOS
4 November 2021, IoT For All

McObject Collaborates with Wind River to Deliver First-Ever
14 September 2021, GlobeNewswire

insideBIGDATA Latest News – 11/9/2021
9 November 2021, insideBIGDATA

New IoT Product Roundup: Microsoft Launches Azure Arc, Samsung Expands smart energy offerings, and more
18 November 2021, IoT World Today

Beta tests for real time in-memory embedded database
4 May 2021, eeNews Europe

provided by Google News

Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS
5 June 2019, DevClass

provided by Google News

Google Releases Memorystore for Memcached into General Availability
9 March 2021, InfoQ.com

Intel Powers New Amazon EC2 Instance
25 November 2021, I-Connect007

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

Google Cloud rolls out Memcached database caching – Blocks and Files
4 April 2020, Blocks and Files

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

provided by Google News

"Open Source, Contribution, and Inspiration" -- The 2nd Anniversary of TDengine Open Source Community
14 July 2021, PRNewswire

TAOS Data Completes $47 Million Series B Financing led by MatrixPartners China, followed by Sequoia Capital China, GGV Capital, and Index Capital
24 May 2021, PRNewswire

provided by Google News

Understanding Hyperfunctions in TimescaleDB
11 August 2021, CDOTrends

Timescale grabs $40M Series B as it goes all in on cloud version of time series database
5 May 2021, TechCrunch

Timescale launches the new Timescale Cloud, a hosted relational database for time-series
5 October 2021, Business Wire

Timescale scales out and sets its sights on analytics
17 June 2021, ZDNet

Timescale Launches Industry's First Multi-Node Relational Database for Time-Series Data, Giving Organizations Unprecedented Scale
29 October 2020, Business Wire

provided by Google News

Job opportunities

WPF Sr. Engineer
LT Technology Services, Santa Clara, CA

Software Engineer, Storage and Caching
Pinterest, San Francisco, CA

Drupal Software Engineer
Open Systems Technologies Corporation, Washington, DC

API Developer
FantasyPros, Remote

Remote Low Code Developer
Excel Impact, Remote

Big Data Engineer
Braintrust, San Francisco, CA

Database Architect
Akuna Capital, Illinois

Data Engineer
Tagup, Inc., Boston, MA

Research Data Engineer
The University of Pittsburgh, Pittsburgh, PA

Senior Data Engineer - US Remote
Vyopta, Austin, TX

Automation Engineer - Energy Storage
RWE, Chicago, IL

jobs by Indeed



Share this page

Featured Products

Neo4j logo

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

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Present your product here